From e3f1c9133c7f3e84407b9ed61f9d5256e9abdc90 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Fri, 7 Mar 2014 19:13:19 -0500
Subject: [PATCH 01/59] add subpage layout with header in page, change title of
conference page
---
_layouts/subpage.html | 8 ++++++++
conference/index.md | 6 ++----
2 files changed, 10 insertions(+), 4 deletions(-)
create mode 100644 _layouts/subpage.html
diff --git a/_layouts/subpage.html b/_layouts/subpage.html
new file mode 100644
index 0000000..1246af4
--- /dev/null
+++ b/_layouts/subpage.html
@@ -0,0 +1,8 @@
+---
+layout: default
+---
+{{ page.title }}
+=================
+
+{{ content }}
+
diff --git a/conference/index.md b/conference/index.md
index 70639da..532bd2a 100644
--- a/conference/index.md
+++ b/conference/index.md
@@ -1,10 +1,8 @@
---
-layout: default
-title: "Conference"
+layout: subpage
+title: "Rhythmic Dynamics and Cognition"
---
-[Rhythmic Dynamics and Cognition]({{site.url}}/img/RhythmicDynamicsCognition_crc2013.pdf)
-=================================
##June 4-5, 2013
[View Poster Here]({{site.url}}{{site.baseurl}}img/RhythmicDynamicsCognition_crc2013.pdf)
From 301d0abd3d9aa53dcd019a776104abb54bf597c1 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Fri, 7 Mar 2014 19:17:58 -0500
Subject: [PATCH 02/59] blurb cleanup on markdown version of conference page
---
conference/index.md | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/conference/index.md b/conference/index.md
index 532bd2a..a9c383d 100644
--- a/conference/index.md
+++ b/conference/index.md
@@ -1,13 +1,14 @@
---
layout: subpage
-title: "Rhythmic Dynamics and Cognition"
+title: "Rhythmic Dynamics and Cognition Conference"
---
##June 4-5, 2013
-[View Poster Here]({{site.url}}{{site.baseurl}}img/RhythmicDynamicsCognition_crc2013.pdf)
+[View event poster]({{site.url}}/img/RhythmicDynamicsCognition_crc2013.pdf)
+[View event videos on The Science Network](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition)
-The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by the [Cognitive Rhythms Collaborative (CRC)]({{site.url}}{{site.baseurl}}). The program was held at the Brain Building (Building 46) on the MIT campus and included lectures, a reception, and a poster session.
+The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by the [Cognitive Rhythms Collaborative (CRC)]({{site.url}}{{site.baseurl}}), held at the Brain Building (Building 46) on the MIT campus in 2013. Proceedings included lectures, a reception, and a poster session. Videos of the lectures and an archive of the program are provided here.
##Invited speakers:
From 7aea0e4fe3c4c7d2d833b0e6c0ac0f790c163fd6 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Wed, 23 Apr 2014 18:38:52 -0400
Subject: [PATCH 03/59] Delete new_index.md since index is now in markdown
---
new_index.md | 15 ---------------
1 file changed, 15 deletions(-)
delete mode 100644 new_index.md
diff --git a/new_index.md b/new_index.md
deleted file mode 100644
index 8f465a6..0000000
--- a/new_index.md
+++ /dev/null
@@ -1,15 +0,0 @@
----
-layout: default
-title: "Cognitive Rhythms Collaborative"
----
-
-The Cognitive Rhythms Collaborative (CRC) is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention,
-learning, memory and motor planning.
-
-
The members of the CRC come from multiple institutions around the Boston area and beyond (see Faculty). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
-
The Cognitive Rhythms Collaborative (CRC) is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention,
learning, memory and motor planning.
[1 Feb 2012] Mini-symposium Beta Rhythms and Cognition. Speakers: Earl Miller, Nancy Kopell, Stephanie Jones, Nicholas Schiff, Keith Purpura (Afternoon event with reception at the end)
+
[1 Feb 2012] Mini-symposium Beta Rhythms and Cognition. Speakers: Earl Miller, Nancy Kopell, Stephanie Jones, Nicholas Schiff, Keith Purpura (Afternoon event with reception at the end)
[26 Jan 2012] Special Talk: Natalie Adams, "Development of patterned activity in de novo neuronal networks," 4pm at BU
diff --git a/img/CRC2012_Flyer.pdf b/conference/CRC2012_Flyer.pdf
similarity index 100%
rename from img/CRC2012_Flyer.pdf
rename to conference/CRC2012_Flyer.pdf
From c88f77d1747e2c99cf2a40169d1b0c9871d81f53 Mon Sep 17 00:00:00 2001
From: hurtstotouchfire
Date: Fri, 2 May 2014 19:24:14 -0400
Subject: [PATCH 07/59] updating markdown pages to match html pages for commits
e2c6a52 834eace aa660f4
---
groups/index.md | 10 ++++++++--
people/faculty/index.md | 7 ++++---
2 files changed, 12 insertions(+), 5 deletions(-)
diff --git a/groups/index.md b/groups/index.md
index 2989412..f07e0f6 100644
--- a/groups/index.md
+++ b/groups/index.md
@@ -49,6 +49,12 @@ title: "Groups"
Dynamics in hippocampus
Synthesis and modeling of current results in hippocampus research
diff --git a/people/faculty/index.md b/people/faculty/index.md
index c97bec4..80ab109 100644
--- a/people/faculty/index.md
+++ b/people/faculty/index.md
@@ -186,11 +186,12 @@ All of these projects are built on a foundation of combined microelectrode, macr
Stan Goldin
-
+
Harvard Medical School
-
Coming Soon
-
+
Dr. Stan Goldin has been developing some new ideas on a carrier wave function for brain oscillations in discrete frequency bands. His early stage collaboration with BSF Fellow Prof. Ed Boyden of MIT is exploring new ways to design multichannel arrays for automated, rapid, delivery of pharmacological agents to key distributed locations in nerve networks, to help elucidate network function. His collaboration with Dr. Newton Howard of MIT on neural coding mechanisms has revealed novel photonic signaling pathways in the brain, powered by light-generating neuronal redox reactions and employing novel photon absorbing rhodopsin-like proteins discovered within the mammalian brain.
+
Dr. Goldin’s laboratory originated research techniques and devices that have been employed to elucidate molecular mechanisms underlying brain waves and brain oscillation circuitry--processes now known to play an important role in long term brain changes (neuroplasticity) and memory formation. He is now finishing a book, Ascent of the Human Brain—An Expanded view of Human Evolution, on modern neuroscience research’s impact on our understanding of human consciousness, selfhood & spirituality.
+
From 0a7bdde6ad2ae18014185e7cd0078ab5e240c106 Mon Sep 17 00:00:00 2001
From: hurtstotouchfire
Date: Fri, 2 May 2014 23:26:27 -0400
Subject: [PATCH 08/59] fix indentation and add p tags around Website links
---
people/faculty/index.md | 397 ++++++++++++++++++++--------------------
1 file changed, 196 insertions(+), 201 deletions(-)
diff --git a/people/faculty/index.md b/people/faculty/index.md
index 80ab109..fb55f5b 100644
--- a/people/faculty/index.md
+++ b/people/faculty/index.md
@@ -11,17 +11,17 @@ title: "People - Faculty"
My major interest is dynamics of the nervous system, especially brain
-rhythms associated with cognition. The central questions are: what are the
-networks and physiology that produce these rhythms; how do the
-physiological properties of those networks affect the use of the dynamics
-in cognition; can changes in the rhythms in disease give insights into the
-nature and treatments of diseases? I'm currently working on projects
-relating to physiology and interaction of rhythms, attention, Parkinson's
-disease, schizophrenia and anesthesia; with collaborators, the work
-involves in vivo and in vitro experiments, dynamical systems modeling and
-simulation, and geometric singular perturbations.
+ rhythms associated with cognition. The central questions are: what are the
+ networks and physiology that produce these rhythms; how do the
+ physiological properties of those networks affect the use of the dynamics
+ in cognition; can changes in the rhythms in disease give insights into the
+ nature and treatments of diseases? I'm currently working on projects
+ relating to physiology and interaction of rhythms, attention, Parkinson's
+ disease, schizophrenia and anesthesia; with collaborators, the work
+ involves in vivo and in vitro experiments, dynamical systems modeling and
+ simulation, and geometric singular perturbations.
Executive Committee
@@ -30,24 +30,24 @@ simulation, and geometric singular perturbations.
We are inventing new tools for analyzing and engineering brain
-circuits. For example, we have devised 'optogenetic' tools, which
-enable the activation and silencing of neural circuit elements with
-light, to understand their causal contribution to normal and
-pathological neural computations, as well as to support the discovery
-and repair of neural circuit targets in a therapeutic context. We are
-using our inventions to enable systematic approaches to neuroscience,
-revealing how neural circuits operate to generate behavior, and
-empowering new therapeutic strategies for neurological and psychiatric
-disorders.
We are inventing new tools for analyzing and engineering brain
+ circuits. For example, we have devised 'optogenetic' tools, which
+ enable the activation and silencing of neural circuit elements with
+ light, to understand their causal contribution to normal and
+ pathological neural computations, as well as to support the discovery
+ and repair of neural circuit targets in a therapeutic context. We are
+ using our inventions to enable systematic approaches to neuroscience,
+ revealing how neural circuits operate to generate behavior, and
+ empowering new therapeutic strategies for neurological and psychiatric
+ disorders.
My research focuses on developing mathematical and statistical methods to analyze neural spiking activity. I have worked to integrate methodologies related to model identification, statistical inference, signal processing, and stochastic estimation and control, and expand these methodologies to incorporate point process observation models, making them more appropriate for modeling the dynamics of neural systems observed through spike train data. This research can be divided into two categories; first, a methodological component, focused on developing a statistical framework for relating neural activity to biological and behavioral signals and developing estimation algorithms, goodness-of-fit analyses, and mathematical theory that can be applied to any neural spiking system; second, an application component, wherein these methods are applied to spiking observations in real neural systems to dynamically model the spiking properties of individual neurons, to characterize how ensembles maintain representations of associated biological and behavioral signals, and to reconstruct these signals in real time.
@@ -56,26 +56,28 @@ disorders.
MGH/Harvard Medical School/Martinos Imaging Center
The Athinoula A. Martinos Center at the Massachusetts General Hospital has a twofold mission to advance the development of imaging technologies and
-their integration with complementary technologies, and to apply these technologies to support basic
-science and translational research that is driven by an overarching interest in the continuous long-term
-improvement of clinical care. Martinos Center investigators are innovating in the areas of anatomical
-and functional magnetic resonance imaging (MRI) and spectroscopy (MRS), magnetoencephalography
-(MEG) and electroencephalography (EEG), near infrared spectroscopy (NIRS) and diffuse optical
-tomography (DOT), and positron emission tomography (PET) as well as cutting-edge tools for
-computational image analysis. The Center supports over 200 PHS-funded research projects at the
-MGH and other Boston-areas institutions, as well as other institutions in the United States and abroad.
-Research activities at the Martinos Center are supported institutionally as well as by Federal and
-foundation grants. Martinos Center investigators and their broad network of colleagues are at the
-forefront of developing advanced imaging technologies, integrating those technologies for multimodality
-acquisition, and deriving novel acquisition and analysis methods for the rich body of imaging
-data now acquired with these technologies. Funded by a P41 Regional Resource grant, from National
-Center for Research Resources, the Martinos Center and its Center for Functional Neuroimaging
-Technologies is a region-wide resource, broadly used by basic and clinical scientists who employ the
-full range of imaging technologies available at the Center to address questions of fundamental
-importance in fields ranging from neurovascular, neurological, and psychiatric disorders to cognitive
-neuroscience to cancer and cardiovascular function.
The Athinoula A. Martinos Center at the Massachusetts General Hospital has a twofold mission to
+ advance the development of imaging technologies and
+ their integration with complementary technologies, and to apply these technologies to support basic
+ science and translational research that is driven by an overarching interest in the continuous long-term
+ improvement of clinical care. Martinos Center investigators are innovating in the areas of anatomical
+ and functional magnetic resonance imaging (MRI) and spectroscopy (MRS), magnetoencephalography
+ (MEG) and electroencephalography (EEG), near infrared spectroscopy (NIRS) and diffuse optical
+ tomography (DOT), and positron emission tomography (PET) as well as cutting-edge tools for
+ computational image analysis. The Center supports over 200 PHS-funded research projects at the
+ MGH and other Boston-areas institutions, as well as other institutions in the United States and abroad.
+ Research activities at the Martinos Center are supported institutionally as well as by Federal and
+ foundation grants. Martinos Center investigators and their broad network of colleagues are at the
+ forefront of developing advanced imaging technologies, integrating those technologies for multimodality
+ acquisition, and deriving novel acquisition and analysis methods for the rich body of imaging
+ data now acquired with these technologies. Funded by a P41 Regional Resource grant, from National
+ Center for Research Resources, the Martinos Center and its Center for Functional Neuroimaging
+ Technologies is a region-wide resource, broadly used by basic and clinical scientists who employ the
+ full range of imaging technologies available at the Center to address questions of fundamental
+ importance in fields ranging from neurovascular, neurological, and psychiatric disorders to cognitive
+ neuroscience to cancer and cardiovascular function.
+
@@ -83,17 +85,13 @@ neuroscience to cancer and cardiovascular function.
Brown University
Dr. Jones uses her background in dynamical systems theory mathematics and computational neural modeling to study neural dynamics in health and disease. She is trained in MEG/EEG imaging and currently uses computational modeling techniques to bridge the critical gap between the non-invasive imaging observables and the underlying microscopic cellular and network level mechanisms. Her current projects and interest include:
-
-
Investigating the neural dynamics underlying normal development in children ages 0-6 as well as neural abnormalities in children with encephalopathy of
-prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB, we are studying development with a powerful combination of techniques including mathematical modeling, MR diffusion tensor imaging, and MEG imaging.
-
-
Studying the mechanisms and functions of neural rhythms including their role in sensory perception, attentional processes, and healthy aging. We are also investigating the source of disruption in brain rhythms in diseases such as Parkinson's Disease, Obsessive Compulsive Disorder, and Attention Deficit Disorder.
-
-
Investigating plasticity induced by training in perceptual attention. In collaboration with Dr. Cathy Kerr at HMS we are studying neurodynamics underlying Mindfulness Medidation Practice.
-
-
Combing computational modeling and optogenetic techniques, in collaboration with Dr. Chris Moore at Brown University, to study neural dynamics. We are currently delineating the role of specific cell types in controlling neocortical rhythmicity and investigating the impact of these rhythms on sensory perception.
-
-
+
+
Investigating the neural dynamics underlying normal development in children ages 0-6 as well as neural abnormalities in children with encephalopathy of prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB, we are studying development with a powerful combination of techniques including mathematical modeling, MR diffusion tensor imaging, and MEG imaging.
+
Studying the mechanisms and functions of neural rhythms including their role in sensory perception, attentional processes, and healthy aging. We are also investigating the source of disruption in brain rhythms in diseases such as Parkinson's Disease, Obsessive Compulsive Disorder, and Attention Deficit Disorder.
+
Investigating plasticity induced by training in perceptual attention. In collaboration with Dr. Cathy Kerr at HMS we are studying neurodynamics underlying Mindfulness Medidation Practice.
+
Combing computational modeling and optogenetic techniques, in collaboration with Dr. Chris Moore at Brown University, to study neural dynamics. We are currently delineating the role of specific cell types in controlling neocortical rhythmicity and investigating the impact of these rhythms on sensory perception.
+
+
@@ -101,8 +99,8 @@ prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB
The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. The focus is on the frontal lobe, the region of the brain most elaborated in humans and linked to neuropsychiatric disorders. They have provided insights into how categories, concepts, and rules are learned, how attention is focused, and how the brain coordinates thought and action. To this end, the Miller Lab has innovated techniques for studying the activity of many neurons in multiple brain areas simultaneously, which has provided insight into how interactions within local and global networks of neurons interact and collaborate. This work has established a foundation upon which to construct more detailed, mechanistic accounts of how executive control is implemented in the brain and its dysfunction in diseases such as autism, schizophrenia and attention deficit disorder.
The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. The focus is on the frontal lobe, the region of the brain most elaborated in humans and linked to neuropsychiatric disorders. They have provided insights into how categories, concepts, and rules are learned, how attention is focused, and how the brain coordinates thought and action. To this end, the Miller Lab has innovated techniques for studying the activity of many neurons in multiple brain areas simultaneously, which has provided insight into how interactions within local and global networks of neurons interact and collaborate. This work has established a foundation upon which to construct more detailed, mechanistic accounts of how executive control is implemented in the brain and its dysfunction in diseases such as autism, schizophrenia and attention deficit disorder.
Affiliated Faculty
@@ -111,16 +109,16 @@ prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB
Seppo P. Ahlfors
MGH/Harvard Medical School/Martinos Imaging Center
My research concerns spatiotemporal imaging of human brain function. I have applied integrated magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) to studies of cortical processing of visual information. My research involves development of techniques for the analysis of multimodal biomedical imaging data, including the use of fMRI data to inform the source estimation (inverse problem) of MEG and EEG. Currently I am studying computationally the characteristics of the sensitivity of MEG and EEG sensor arrays as well as the relationship of MEG and EEG signals to the cortical anatomy and physiology. Collaborative work focuses on the application of MEG, EEG, and fMRI techniques to reveal neural activation patterns related to cognitive processing in normal and clinical populations.
My research concerns spatiotemporal imaging of human brain function. I have applied integrated magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) to studies of cortical processing of visual information. My research involves development of techniques for the analysis of multimodal biomedical imaging data, including the use of fMRI data to inform the source estimation (inverse problem) of MEG and EEG. Currently I am studying computationally the characteristics of the sensitivity of MEG and EEG sensor arrays as well as the relationship of MEG and EEG signals to the cortical anatomy and physiology. Collaborative work focuses on the application of MEG, EEG, and fMRI techniques to reveal neural activation patterns related to cognitive processing in normal and clinical populations.
Most of my work is on designing and analyzing computational models in neuroscience. Current projects concern the role of different populations of inhibitory cells in gamma oscillations, modeling of the impact of astrocytes on neuronal activity, and synchronization via gap junctions. I also have one current research project unrelated to neuroscience, on numerical methods for linear Boltzmann equations.
Most of my work is on designing and analyzing computational models in neuroscience. Current projects concern the role of different populations of inhibitory cells in gamma oscillations, modeling of the impact of astrocytes on neuronal activity, and synchronization via gap junctions. I also have one current research project unrelated to neuroscience, on numerical methods for linear Boltzmann equations.
@@ -128,10 +126,9 @@ prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB
Current research in the lab is, broadly speaking, dedicated to trying to understand normal and abnormal brain activity, particularly oscillations, using multi-modal and multi-scalar approaches. Specifically, we are combining novel microelectrode approaches with non-invasive techniques such as electroencephalography and magnetoencephalography to record directly from both human and animal cortex and subcortical structures. One part of the lab studies the neurophysiology of epilepsy; trying to understand how seizures start and stop and how they might be predicted and terminated. These questions overlap with investigations into the mechanisms of sleep, normal language, auditory, and other cognitive processing.
-All of these projects are built on a foundation of combined microelectrode, macroelectrode and non-invasive recording techniques that span information from the level of single action potentials to aggregate activity of millions of neurons. Intensive signal processing and computational techniques are employed to analyze these data sets. Collaborative activities involving neural modeling are aimed at relating these multi-scalar data. Ultimately, all of these projects aim toward the creation of both invasive and non-invasive mechanisms for restoring damaged neuronal function.
-
Current research in the lab is, broadly speaking, dedicated to trying to understand normal and abnormal brain activity, particularly oscillations, using multi-modal and multi-scalar approaches. Specifically, we are combining novel microelectrode approaches with non-invasive techniques such as electroencephalography and magnetoencephalography to record directly from both human and animal cortex and subcortical structures. One part of the lab studies the neurophysiology of epilepsy; trying to understand how seizures start and stop and how they might be predicted and terminated. These questions overlap with investigations into the mechanisms of sleep, normal language, auditory, and other cognitive processing.
+
All of these projects are built on a foundation of combined microelectrode, macroelectrode and non-invasive recording techniques that span information from the level of single action potentials to aggregate activity of millions of neurons. Intensive signal processing and computational techniques are employed to analyze these data sets. Collaborative activities involving neural modeling are aimed at relating these multi-scalar data. Ultimately, all of these projects aim toward the creation of both invasive and non-invasive mechanisms for restoring damaged neuronal function.
@@ -139,10 +136,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
Dr. Cheng is a neurosurgeon whose laboratory studies the neural basis of different cognitive processes that underlie diseases such as Parkinson's and other movement disorders, pain, epilepsy, depression, and other more rare neurological conditions. The goal of his laboratory is neurorestoration, the idea that therapies can be devised to restore the original function of the brain and spinal cord.
-
Our primary techniques include the use of psychopharmacology, electrical stimulation and reversible lesioning to enhance or alter brain, spine and peripheral nerve function. We measure the results in our subjects with behavioral tasks coupled with intraoperative and extraoperative electrophysiology in human subjects: EEG, electrocorticography (ECoG), extracellular field potential recordings, and single unit microelectrode recordings from multiple brain and spine structures (subthalamic nucleus, caudate, globus pallidus, thalamus, nucleus accumbens, substantia nigra, neocortical areas, dorsal columns, the dorsal horn, etc.). We also use these electrophysiological tools to complement molecular techniques in the study of animal models of hydrocephalus and neurodegenerative disease. We are ultimately interested in applying our findings to the creation of open and closed loop stimulatory devices that can help human patients with neurological and psychiatric diseases. Ultimately, the information we learn will help us create brain and spine machine interfaces to fight disease and change human interaction with the external world.
-
Dr. Cheng is a neurosurgeon whose laboratory studies the neural basis of different cognitive processes that underlie diseases such as Parkinson's and other movement disorders, pain, epilepsy, depression, and other more rare neurological conditions. The goal of his laboratory is neurorestoration, the idea that therapies can be devised to restore the original function of the brain and spinal cord.
+
Our primary techniques include the use of psychopharmacology, electrical stimulation and reversible lesioning to enhance or alter brain, spine and peripheral nerve function. We measure the results in our subjects with behavioral tasks coupled with intraoperative and extraoperative electrophysiology in human subjects: EEG, electrocorticography (ECoG), extracellular field potential recordings, and single unit microelectrode recordings from multiple brain and spine structures (subthalamic nucleus, caudate, globus pallidus, thalamus, nucleus accumbens, substantia nigra, neocortical areas, dorsal columns, the dorsal horn, etc.). We also use these electrophysiological tools to complement molecular techniques in the study of animal models of hydrocephalus and neurodegenerative disease. We are ultimately interested in applying our findings to the creation of open and closed loop stimulatory devices that can help human patients with neurological and psychiatric diseases. Ultimately, the information we learn will help us create brain and spine machine interfaces to fight disease and change human interaction with the external world.
@@ -150,10 +146,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
A complex visual scene will typically contain many different objects, few of which are currently relevant to behavior. Thus, attentional mechanisms are needed to select the relevant objects from the scene and to reject the irrelevant ones. Neurophysiological studies in our own and other labs have identified some of the neural mechanisms of attentional selection within the ventral, "object recognition", stream of the cortex. At each stage along this stream, attended, or behaviorally relevant, stimuli are processed preferentially compared to irrelevant distracters. In recent years, we have found that the top-down attentional bias is expressed, at least in part, in visual cortex through an increase in high-frequency (gamma) synchronization of neurons carrying critical information about the location or features of the behaviorally relevant stimulus. Increases in gamma synchrony are found during both spatial attention and featural attention engaged during visual search, and the presence of synchrony predicts faster responses in visual tasks. Recent evidence shows that inputs from the frontal eye fields (FEF) in prefrontal cortex initiates coupled gamma-frequency oscillations between FEF and area V4 during attention, and these oscillations are shifted in time across the two areas to allow for maximally effective communication. Cross-area synchrony may be a general mechanism for regulating information flow through the brain and for regulating spike-timing dependent plasticity.
-
A complex visual scene will typically contain many different objects, few of which are currently relevant to behavior. Thus, attentional mechanisms are needed to select the relevant objects from the scene and to reject the irrelevant ones. Neurophysiological studies in our own and other labs have identified some of the neural mechanisms of attentional selection within the ventral, "object recognition", stream of the cortex. At each stage along this stream, attended, or behaviorally relevant, stimuli are processed preferentially compared to irrelevant distracters. In recent years, we have found that the top-down attentional bias is expressed, at least in part, in visual cortex through an increase in high-frequency (gamma) synchronization of neurons carrying critical information about the location or features of the behaviorally relevant stimulus. Increases in gamma synchrony are found during both spatial attention and featural attention engaged during visual search, and the presence of synchrony predicts faster responses in visual tasks. Recent evidence shows that inputs from the frontal eye fields (FEF) in prefrontal cortex initiates coupled gamma-frequency oscillations between FEF and area V4 during attention, and these oscillations are shifted in time across the two areas to allow for maximally effective communication. Cross-area synchrony may be a general mechanism for regulating information flow through the brain and for regulating spike-timing dependent plasticity.
@@ -161,9 +156,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
The research program of this laboratory is focused on four closely related projects that seek to understand the brain circuity that supports memory. This research is guided by the hypothesis that our ability to remember specific experiences relies on an organization of memories about objects and the events in the context in which they occurred. We believe that associations between objects and context is accomplished through the circuitry of the medial temporal lobe, in which parallel pathways represent information about objects and about context, and these streams of information converge within the hippocampus. A project central to this goal seeks to characterize how neurons in key components of the medial temporal lobe encode these different types of information and how components of this brain system interact with one another. Another project explores how the hippocampus is initially critical to the associations between objects and context but eventually these associations consolidate in cortical areas with which the hippocampus is connected. Another project explores how the prefrontal cortex controls the retrieval of memories as they bear on ongoing cognitive processes. And yet another project explores how hippocampal networks represent objects in the spacial and temporal context in which they occur. Together these projects will provide new insights into how memories are organized within the medial temporal lobe memory system and how memories are retrieved when we recall our daily experiences.
-
The research program of this laboratory is focused on four closely related projects that seek to understand the brain circuity that supports memory. This research is guided by the hypothesis that our ability to remember specific experiences relies on an organization of memories about objects and the events in the context in which they occurred. We believe that associations between objects and context is accomplished through the circuitry of the medial temporal lobe, in which parallel pathways represent information about objects and about context, and these streams of information converge within the hippocampus. A project central to this goal seeks to characterize how neurons in key components of the medial temporal lobe encode these different types of information and how components of this brain system interact with one another. Another project explores how the hippocampus is initially critical to the associations between objects and context but eventually these associations consolidate in cortical areas with which the hippocampus is connected. Another project explores how the prefrontal cortex controls the retrieval of memories as they bear on ongoing cognitive processes. And yet another project explores how hippocampal networks represent objects in the spacial and temporal context in which they occur. Together these projects will provide new insights into how memories are organized within the medial temporal lobe memory system and how memories are retrieved when we recall our daily experiences.
@@ -171,15 +166,15 @@ All of these projects are built on a foundation of combined microelectrode, macr
We conduct a tightly integrated computational and experimental research program across three sites (BU, NYU, Columbia) to study spoken language recognition from the psychophysical, neurophysiological, and engineering perspectives. The program proceeds in four fronts:
-
-
Psychophysics (Ghitza, BU). We measure and model the results of human performance in tasks designed to gain a better understanding on the interplay between neuronal oscillators in different frequency bands, and between the oscillations and the speech syllabic structure;
-
Human Neuroimaging. We formulate the intra-relationship among theta, beta and gamma oscillations, using MEG (David Poeppel, NYU) and ECoG (Charles Schroeder, Columbia) data recorded while subjects perform intelligibility tasks;
-
Monkey Electrophysiology (Charles Schroeder, Columbia). If the emerging cortical computation principles are fundamental, they must generalize across mammalian species. We are using high-resolution physiological methods to measure the intra-relationship among oscillations using multi-electrode recordings in monkeys listening to stimuli specifically designed to capture the rhythmic aspects of natural speech and music;
-
Automatic Speech Recognition (Ghitza, BU). We explore a new perspective to the development of ASR systems that incorporates the insights from the behavioral and brain sciences, specifically rhythmic brain activity. We ascertain whether the proposed cortical computation principle could be used as an adjunct to conventional features used in ASR systems, e.g. in lattice re-scoring of n-best lists – and ultimately result in a decrease in word error rate.
We conduct a tightly integrated computational and experimental research program across three sites (BU, NYU, Columbia) to study spoken language recognition from the psychophysical, neurophysiological, and engineering perspectives. The program proceeds in four fronts:
+
+
Psychophysics (Ghitza, BU). We measure and model the results of human performance in tasks designed to gain a better understanding on the interplay between neuronal oscillators in different frequency bands, and between the oscillations and the speech syllabic structure;
+
Human Neuroimaging. We formulate the intra-relationship among theta, beta and gamma oscillations, using MEG (David Poeppel, NYU) and ECoG (Charles Schroeder, Columbia) data recorded while subjects perform intelligibility tasks;
+
Monkey Electrophysiology (Charles Schroeder, Columbia). If the emerging cortical computation principles are fundamental, they must generalize across mammalian species. We are using high-resolution physiological methods to measure the intra-relationship among oscillations using multi-electrode recordings in monkeys listening to stimuli specifically designed to capture the rhythmic aspects of natural speech and music;
+
Automatic Speech Recognition (Ghitza, BU). We explore a new perspective to the development of ASR systems that incorporates the insights from the behavioral and brain sciences, specifically rhythmic brain activity. We ascertain whether the proposed cortical computation principle could be used as an adjunct to conventional features used in ASR systems, e.g. in lattice re-scoring of n-best lists – and ultimately result in a decrease in word error rate.
+
@@ -191,7 +186,7 @@ All of these projects are built on a foundation of combined microelectrode, macr
Dr. Stan Goldin has been developing some new ideas on a carrier wave function for brain oscillations in discrete frequency bands. His early stage collaboration with BSF Fellow Prof. Ed Boyden of MIT is exploring new ways to design multichannel arrays for automated, rapid, delivery of pharmacological agents to key distributed locations in nerve networks, to help elucidate network function. His collaboration with Dr. Newton Howard of MIT on neural coding mechanisms has revealed novel photonic signaling pathways in the brain, powered by light-generating neuronal redox reactions and employing novel photon absorbing rhodopsin-like proteins discovered within the mammalian brain.
Dr. Goldin’s laboratory originated research techniques and devices that have been employed to elucidate molecular mechanisms underlying brain waves and brain oscillation circuitry--processes now known to play an important role in long term brain changes (neuroplasticity) and memory formation. He is now finishing a book, Ascent of the Human Brain—An Expanded view of Human Evolution, on modern neuroscience research’s impact on our understanding of human consciousness, selfhood & spirituality.
-
+
@@ -199,9 +194,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
Ann Graybiel studies the basal ganglia, forebrain structures that are profoundly important for normal brain function but are also implicated in Parkinson's disease, Huntington's disease, obsessive-compulsive disorder, and addiction. Graybiel's work is uncovering neural deficits related to these disorders, as well as the role the basal ganglia play in guiding normal behavior.
-
Ann Graybiel studies the basal ganglia, forebrain structures that are profoundly important for normal brain function but are also implicated in Parkinson's disease, Huntington's disease, obsessive-compulsive disorder, and addiction. Graybiel's work is uncovering neural deficits related to these disorders, as well as the role the basal ganglia play in guiding normal behavior.
+
@@ -209,9 +204,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
Brain disorders represent the biggest unmet medical need, with many disorders being untreatable, and most treatments presenting serious side effects. Accordingly, we are discovering design principles for novel neuromodulation therapies. We invent and apply a variety of genetic, molecular, pharmacological, optical, and electrical tools to correct neural circuits that go awry within the brain. As an example, we have pioneered several technologies for silencing specific cells in the brain using pulses of light. We have also recently participated the first pre-clinical testing of a novel neurotechnology, optical neural modulation. Using these novel neurotechnologies and classical ones such as deep brain stimulation (DBS), we modulate the function of neural circuits to establish causal links between neural dynamics and behavioral phenomena (e.g., movement, attention, memory, and decision making). One of our current interests is the investigation of how neural synchrony arises within and across brain regions, and how synchronous activity contributes to normal cognition and pathology.
-
Brain disorders represent the biggest unmet medical need, with many disorders being untreatable, and most treatments presenting serious side effects. Accordingly, we are discovering design principles for novel neuromodulation therapies. We invent and apply a variety of genetic, molecular, pharmacological, optical, and electrical tools to correct neural circuits that go awry within the brain. As an example, we have pioneered several technologies for silencing specific cells in the brain using pulses of light. We have also recently participated the first pre-clinical testing of a novel neurotechnology, optical neural modulation. Using these novel neurotechnologies and classical ones such as deep brain stimulation (DBS), we modulate the function of neural circuits to establish causal links between neural dynamics and behavioral phenomena (e.g., movement, attention, memory, and decision making). One of our current interests is the investigation of how neural synchrony arises within and across brain regions, and how synchronous activity contributes to normal cognition and pathology.
+
@@ -219,9 +214,9 @@ All of these projects are built on a foundation of combined microelectrode, macr
Subcortical regulation of forebrain activity in the sleep-wake cycle.
-
The central focus of my research is the subcortical regulation of hippocampal function and is guided by the general hypothesis that the role of this regulation is to build dynamic associations between several limbic structures that are synchronized by oscillatory population activity. Phasic and rhythmic synchronization of neuronal activity is critical to control the concerted action of spatially separated structures in the brain. The general state and background activity of various brain structures determine how these structures will respond to different specific inputs and how they establish dynamical connections to perform complex functions. An important constituent of these states is the pattern of population activity including coherent oscillations in anatomically scattered structures which can establish functional networks during specific behaviors. Theta synchrony provides an excellent model to study these cooperations and the way in which they differ in specific behavioral states, such as waking exploration and REM sleep.
-
Oscillatory processes in cardiovascular control.
-
Another model we use to study rhythmic synchronization among neural networks is the autonomic nervous system which is capable of generating different patterns of activity that control the response of the cardiovascular system to changes in the environment (e.g. chemoregulation, thermoregulation, etc.) and different behavioral states (e.g. defense reaction, eating, sleep, etc.). Our guiding hypothesis in this research is that sympathetic rhythm is generated by multiple oscillators and we study the changes in the relationship between these oscillators under different conditions of health and disease.
-
Subcortical regulation of forebrain activity in the sleep-wake cycle.
+
The central focus of my research is the subcortical regulation of hippocampal function and is guided by the general hypothesis that the role of this regulation is to build dynamic associations between several limbic structures that are synchronized by oscillatory population activity. Phasic and rhythmic synchronization of neuronal activity is critical to control the concerted action of spatially separated structures in the brain. The general state and background activity of various brain structures determine how these structures will respond to different specific inputs and how they establish dynamical connections to perform complex functions. An important constituent of these states is the pattern of population activity including coherent oscillations in anatomically scattered structures which can establish functional networks during specific behaviors. Theta synchrony provides an excellent model to study these cooperations and the way in which they differ in specific behavioral states, such as waking exploration and REM sleep.
+
Oscillatory processes in cardiovascular control.
+
Another model we use to study rhythmic synchronization among neural networks is the autonomic nervous system which is capable of generating different patterns of activity that control the response of the cardiovascular system to changes in the environment (e.g. chemoregulation, thermoregulation, etc.) and different behavioral states (e.g. defense reaction, eating, sleep, etc.). Our guiding hypothesis in this research is that sympathetic rhythm is generated by multiple oscillators and we study the changes in the relationship between these oscillators under different conditions of health and disease.
+
@@ -261,9 +256,9 @@ The Katz lab is actively engaged in the following research areas:
We study mathematical neuroscience, with particular emphasis on neural rhythms, brain diseases, dynamical systems, and data analysis. All of the research involves interdisciplinary collaborations with experimentalists and clinicians. We are currently focused on analysis and modeling of multiscale data recorded in vivo from human subjects, and the construction of computational models of multiscale neuronal activity. We are also interested in techniques to infer and analyze functional connectivity networks from multivariate time series data, and how neuroscience can motivate new research questions in mathematics.
-
We study mathematical neuroscience, with particular emphasis on neural rhythms, brain diseases, dynamical systems, and data analysis. All of the research involves interdisciplinary collaborations with experimentalists and clinicians. We are currently focused on analysis and modeling of multiscale data recorded in vivo from human subjects, and the construction of computational models of multiscale neuronal activity. We are also interested in techniques to infer and analyze functional connectivity networks from multivariate time series data, and how neuroscience can motivate new research questions in mathematics.
+
@@ -271,10 +266,10 @@ The Katz lab is actively engaged in the following research areas:
Christopher Moore studies brain dynamics and how they change can change perception from moment to moment.
-The brain's ability to shift the way it processes information—to shift its 'state'—is crucial to surviving in an ever-changing world. Dysregulation of these dynamics are a hallmark of neurologic and psychiatric disease. The laboratory is studying the mechanisms responsible for generating brain states, how they impact the representation of a sensory input, and how, ultimately, they change conscious perception.
-
Christopher Moore studies brain dynamics and how they change can change perception from moment to moment.
+ The brain's ability to shift the way it processes information—to shift its 'state'—is crucial to surviving in an ever-changing world. Dysregulation of these dynamics are a hallmark of neurologic and psychiatric disease. The laboratory is studying the mechanisms responsible for generating brain states, how they impact the representation of a sensory input, and how, ultimately, they change conscious perception.
+
@@ -282,26 +277,26 @@ The brain's ability to shift the way it processes information—to shift its 'st
Our work focuses on the role of sensory experience in the development and
-maintenance of functional circuits in the auditory cortex. The auditory
-cortex is powerfully influenced by experience during finite windows of
-development known as critical periods, after which time significant changes
-can only be brought about through learned associations between sounds and
-behaviorally relevant consequences. We study the mechanisms and perceptual
-correlates of cortical plasticity across the lifespan using a variety of
-neurophysiological, genetic, behavioral and computational approaches. We
-also record from subcortical auditory nuclei such as the inferior colliculus
-and auditory thalamus to understand more about features that are relayed to
-the cortex versus constructed there de novo. We believe this class of study
-will contribute towards a richer understanding of normal function, but might
-also hold the key for remediating abnormal auditory signal following a
-history of degraded hearing or deafness in early life. A major goal for our
-group is to apply what we've learned about the dynamic interplay between
-plasticity and stability in animal models towards improving auditory
-processing in humans that have been reconnected to the auditory world
-following a period of prolonged hearing loss.
-
Our work focuses on the role of sensory experience in the development and
+ maintenance of functional circuits in the auditory cortex. The auditory
+ cortex is powerfully influenced by experience during finite windows of
+ development known as critical periods, after which time significant changes
+ can only be brought about through learned associations between sounds and
+ behaviorally relevant consequences. We study the mechanisms and perceptual
+ correlates of cortical plasticity across the lifespan using a variety of
+ neurophysiological, genetic, behavioral and computational approaches. We
+ also record from subcortical auditory nuclei such as the inferior colliculus
+ and auditory thalamus to understand more about features that are relayed to
+ the cortex versus constructed there de novo. We believe this class of study
+ will contribute towards a richer understanding of normal function, but might
+ also hold the key for remediating abnormal auditory signal following a
+ history of degraded hearing or deafness in early life. A major goal for our
+ group is to apply what we've learned about the dynamic interplay between
+ plasticity and stability in animal models towards improving auditory
+ processing in humans that have been reconnected to the auditory world
+ following a period of prolonged hearing loss.
+
@@ -310,8 +305,8 @@ following a period of prolonged hearing loss.
Boston University
-
The Ritt lab concentrates on how organisms gather and use information from their environment, through processes of active sensing and sensory decision making. Current projects employ electrophysiological, behavioral, optogenetic and theoretical methods applied to the rodent whisker system, a highly refined tactile sensory system. Experiments combine multi-electrode recording of brain activity; high speed videography of behavior and development of automated image analysis algorithms; and optical stimulation of specific cell types (e.g., excitatory vs. inhibitory neurons) using genetically targeted expression of light sensitive ion channels. Parallel modeling uses tools from dynamical systems, control theory and decision theory. Augmenting experiments with model-driven, real-time feedback forms a basis for development of brain machine interfaces, with an emphasis on sensory neural prosthetics, in addition to providing state of the art tools to address basic questions of neural function.
-
+
The Ritt lab concentrates on how organisms gather and use information from their environment, through processes of active sensing and sensory decision making. Current projects employ electrophysiological, behavioral, optogenetic and theoretical methods applied to the rodent whisker system, a highly refined tactile sensory system. Experiments combine multi-electrode recording of brain activity; high speed videography of behavior and development of automated image analysis algorithms; and optical stimulation of specific cell types (e.g., excitatory vs. inhibitory neurons) using genetically targeted expression of light sensitive ion channels. Parallel modeling uses tools from dynamical systems, control theory and decision theory. Augmenting experiments with model-driven, real-time feedback forms a basis for development of brain machine interfaces, with an emphasis on sensory neural prosthetics, in addition to providing state of the art tools to address basic questions of neural function.
+
@@ -319,9 +314,9 @@ following a period of prolonged hearing loss.
How do neurons in the brain encode complex natural sounds? What are the neural substrates of selectivity for and discrimination of different categories of natural sounds? Are these substrates innate or shaped by learning?
-Our laboratory investigates these questions in the model system of the songbird. Electrophysiological techniques are used to record neural responses from hierarchical stages of auditory processing. Theoretical methods from areas such as statistical signal processing, systems theory, probability theory, information theory and pattern recognition are applied to characterize how neurons in the brain encode natural sounds. Computational models are constructed to understand the processing of natural sounds both at the single neuron and the network level, to model neural selectivity and discrimination, and to explore the role of learning in shaping the neural code.
-
How do neurons in the brain encode complex natural sounds? What are the neural substrates of selectivity for and discrimination of different categories of natural sounds? Are these substrates innate or shaped by learning?
+ Our laboratory investigates these questions in the model system of the songbird. Electrophysiological techniques are used to record neural responses from hierarchical stages of auditory processing. Theoretical methods from areas such as statistical signal processing, systems theory, probability theory, information theory and pattern recognition are applied to characterize how neurons in the brain encode natural sounds. Computational models are constructed to understand the processing of natural sounds both at the single neuron and the network level, to model neural selectivity and discrimination, and to explore the role of learning in shaping the neural code.
+
@@ -349,9 +344,9 @@ Our laboratory investigates these questions in the model system of the songbird.
Research in the Auditory Neuroscience Laboratory addresses how listeners communicate and make sense of sounds in everyday settings. We study everything from basic perceptual sensitivity to the ways in which different brain regions coordinate their activity during complex tasks. We use a range of approaches to explore these issues, including human behavioral experiments, human neuroelectric imaging, computational modeling, and, in collaboration with other laboratories, fMRI, animal behavioral experiments, and animal neurophysiology.
-
Research in the Auditory Neuroscience Laboratory addresses how listeners communicate and make sense of sounds in everyday settings. We study everything from basic perceptual sensitivity to the ways in which different brain regions coordinate their activity during complex tasks. We use a range of approaches to explore these issues, including human behavioral experiments, human neuroelectric imaging, computational modeling, and, in collaboration with other laboratories, fMRI, animal behavioral experiments, and animal neurophysiology.
+
@@ -367,9 +362,9 @@ Our laboratory investigates these questions in the model system of the songbird.
Steven Stufflebeam
MGH/Harvard Medical School/Martinos Imaging Center
Dr. Stufflebeam's goal is to develop and translate advanced technology at the Martinos Center into clinical practice. Currently, he is using MEG/EEG, fMRI, and optical imaging to understand how the brain processes neural information. He applies multiple imaging technologies to understand epilepsy, schizophrenia, and brain neoplasms. He is also setting up a clinical MEG service for New England.
-
Dr. Stufflebeam's goal is to develop and translate advanced technology at the Martinos Center into clinical practice. Currently, he is using MEG/EEG, fMRI, and optical imaging to understand how the brain processes neural information. He applies multiple imaging technologies to understand epilepsy, schizophrenia, and brain neoplasms. He is also setting up a clinical MEG service for New England.
+
@@ -377,9 +372,9 @@ Our laboratory investigates these questions in the model system of the songbird.
Dr. Whittington's group has a major interest in mechanisms that generate oscillatory activity with neural networks, how this activity is sustained and how is modulated in various normal and pathological conditions.
-
Dr. Whittington's group has a major interest in mechanisms that generate oscillatory activity with neural networks, how this activity is sustained and how is modulated in various normal and pathological conditions.
+
@@ -398,108 +393,108 @@ Our laboratory investigates these questions in the model system of the songbird.
Research in the Wilson laboratory focuses on the study of information representation across large populations of neurons in the mammalian nervous system, as well as on the mechanisms that underlie formation and maintenance of distributed memories in freely behaving animals. To study the basis of these processes, the lab employs a combination of molecular genetic, electrophysiological, pharmacological, behavioral, and computational approaches. Using techniques that allow the simultaneous activity of ensembles of hundreds of single neurons to be examined in freely behaving animals, the lab examines how memories of places and events are encoded across networks of cells within the hippocampus ¬ a region of the brain long implicated in the processes underlying learning and memory.
-
-These studies of learning and memory in awake, behaving animals have led to the exploration of the nature of sleep and its role in memory. Previous theories have suggested that sleep states may be involved in the process of memory consolidation, in which memories are transferred from short to longer-term stores and possibly reorganized into more efficient forms. Recent evidence has shown that ensembles of neurons within the hippocampus, which had been activated during behavior are reactivated during periods of dreaming. By reconstructing the content of these states, specific memories can be tracked during the course of the consolidation process.
-
-Combining the measurement of ongoing neuronal activity with manipulation of molecular genetic targets has allowed the study of how specific cellular mechanisms regulate neural function to produce learning and memory at the behavioral level. Pharmacological blockage of these receptors has allowed the study of their involvement in the rapid changes that occur during both waking and sleeping states. Simultaneous monitoring of areas in the hippocampus and neocortex have allowed study of the downstream effects of activation.
-
-Taken together, these approaches contribute to the overall research objective: to understand the link from cellular/subcellular mechanisms of plasticity, to neural ensemble representations and interactions, to learning, memory, behavior, and cognition.
-
Research in the Wilson laboratory focuses on the study of information representation across large populations of neurons in the mammalian nervous system, as well as on the mechanisms that underlie formation and maintenance of distributed memories in freely behaving animals. To study the basis of these processes, the lab employs a combination of molecular genetic, electrophysiological, pharmacological, behavioral, and computational approaches. Using techniques that allow the simultaneous activity of ensembles of hundreds of single neurons to be examined in freely behaving animals, the lab examines how memories of places and events are encoded across networks of cells within the hippocampus ¬ a region of the brain long implicated in the processes underlying learning and memory.
+
+ These studies of learning and memory in awake, behaving animals have led to the exploration of the nature of sleep and its role in memory. Previous theories have suggested that sleep states may be involved in the process of memory consolidation, in which memories are transferred from short to longer-term stores and possibly reorganized into more efficient forms. Recent evidence has shown that ensembles of neurons within the hippocampus, which had been activated during behavior are reactivated during periods of dreaming. By reconstructing the content of these states, specific memories can be tracked during the course of the consolidation process.
+
+ Combining the measurement of ongoing neuronal activity with manipulation of molecular genetic targets has allowed the study of how specific cellular mechanisms regulate neural function to produce learning and memory at the behavioral level. Pharmacological blockage of these receptors has allowed the study of their involvement in the rapid changes that occur during both waking and sleeping states. Simultaneous monitoring of areas in the hippocampus and neocortex have allowed study of the downstream effects of activation.
+
+ Taken together, these approaches contribute to the overall research objective: to understand the link from cellular/subcellular mechanisms of plasticity, to neural ensemble representations and interactions, to learning, memory, behavior, and cognition.
+
- Click on a name to view or hide details.
+ Click on a name to view or hide details.
- Last update: 1 October 2012
+ Last update: 1 October 2012
-
-
- Natalie Adams
-
-
-
-
-
- My interests lie broadly in understanding how the brain represents perceptual information and why
- this may differ in pathological states related to autism and schizophrenia. I am tackling this using
- in vitro electrophysiological techniques in collaboration with mathematical modellers to look at
- mechanisms of network rhythm generation, modulation and interaction in the anterior cingulate
- region of prefrontal cortex.
-
-
- Currently, my research is focussed on exploring aspects of frontal cortical function that facilitate
- learning of sequences of sensory events (e.g. Siegel, M., et al 2009). I am interested in how precise
- spike timing in individual neurons or small sub-populations relates to the local field oscillation as a
- marker of the overall average of event timing relevant to a given stimulus.
-
-
- So far my work has revealed that many neurons in the anterior cingulate cortex possess the ability
- to intrinsically oscillate at sub-threshold levels. With varying degrees of tonic excitation these sub-
- threshold oscillations (STOs) exist at a variety of frequencies up to c.30Hz. The anterior cingulate
- cortex is known to have multiple mechanisms for the generation of gamma rhythms associated with
- cognitive function and I will look at how these rhythms interact with cellular STOs to affect spike/
- phase relationships and perhaps code for sequences: The working hypothesis is that assemblies
- of cells receiving higher levels of excitation increase the drive to the kinetics responsible for STOs,
- ultimately leading to a spike phase-advance on each period of field gamma.
-
-
- This work could uncover a substrate for the stable, computationally useful, temporal separation of
- concurrently active sensory representations.
-
-
+
+
+ Natalie Adams
+
+
+
+
+
+ My interests lie broadly in understanding how the brain represents perceptual information and why
+ this may differ in pathological states related to autism and schizophrenia. I am tackling this using
+ in vitro electrophysiological techniques in collaboration with mathematical modellers to look at
+ mechanisms of network rhythm generation, modulation and interaction in the anterior cingulate
+ region of prefrontal cortex.
+
+
+ Currently, my research is focussed on exploring aspects of frontal cortical function that facilitate
+ learning of sequences of sensory events (e.g. Siegel, M., et al 2009). I am interested in how precise
+ spike timing in individual neurons or small sub-populations relates to the local field oscillation as a
+ marker of the overall average of event timing relevant to a given stimulus.
+
+
+ So far my work has revealed that many neurons in the anterior cingulate cortex possess the ability
+ to intrinsically oscillate at sub-threshold levels. With varying degrees of tonic excitation these sub-
+ threshold oscillations (STOs) exist at a variety of frequencies up to c.30Hz. The anterior cingulate
+ cortex is known to have multiple mechanisms for the generation of gamma rhythms associated with
+ cognitive function and I will look at how these rhythms interact with cellular STOs to affect spike/
+ phase relationships and perhaps code for sequences: The working hypothesis is that assemblies
+ of cells receiving higher levels of excitation increase the drive to the kinetics responsible for STOs,
+ ultimately leading to a spike phase-advance on each period of field gamma.
+
+
+ This work could uncover a substrate for the stable, computationally useful, temporal separation of
+ concurrently active sensory representations.
+
+
-
-
- Mikio Aoi
-
-
-
-
-
- My work has been focused on two aspects of the analysis of neural rhythms. The first project, which I have been working on with Uri Eden, Mark Kramer, and Kyle Lepage, has focused on the spectral analysis of spike trains including coherence between signals when at least one of those signals is a spike train. I use point process theory to derive properties of point process spectra and the estimators, and try to understand how those properties may help or hinder our understanding of the underlying neural system. The second project is in collaboration with Timothy Gardner and Uri Eden in which we are investigating methods of multi-scale time-frequency analysis based on an object-based signal representation. This method will allow us to extract signal information using multiple times scales simultaneously. This method may help to construct sharper spectral representations than are currently possible and we believe this operation may help to understand the phenomenology of human auditory perception.
-
-
+
+
+ Mikio Aoi
+
+
+
+
+
+ My work has been focused on two aspects of the analysis of neural rhythms. The first project, which I have been working on with Uri Eden, Mark Kramer, and Kyle Lepage, has focused on the spectral analysis of spike trains including coherence between signals when at least one of those signals is a spike train. I use point process theory to derive properties of point process spectra and the estimators, and try to understand how those properties may help or hinder our understanding of the underlying neural system. The second project is in collaboration with Timothy Gardner and Uri Eden in which we are investigating methods of multi-scale time-frequency analysis based on an object-based signal representation. This method will allow us to extract signal information using multiple times scales simultaneously. This method may help to construct sharper spectral representations than are currently possible and we believe this operation may help to understand the phenomenology of human auditory perception.
+
+
-
-
- Justin Kinney
-
-
-
-
-
- Recording of neuronal spiking activity in distributed brain circuits
- requires a scalable design for massively parallel recording of
- extracellular field potentials. We are inventing such a system and
- implementing a proof-of-concept instantiation. In this system,
- multi-electrode arrays are used, which minimize tissue damage and help
- with spike sorting, and time domain multiplexing of analog field
- potential acquisition reduces interconnect. Channel data is then
- relayed to a custom-designed terabyte capacity storage network via
- custom digital circuitry. The storage network is designed to enable
- neural data to be analyzed in flexible ways, including the evaluation
- of spike sorting methods.
-
-
- On the technical side, I am solely responsible for the design and implementation of the ethernet network and high-speed data storage software. In addition, I provide leadership to the project by staying well-versed in all aspects of the system design and maintaining open lines of communication between all technology developers, as well as organizing and documenting the design of the system.
-
-
+
+
+ Justin Kinney
+
+
+
+
+
+ Recording of neuronal spiking activity in distributed brain circuits
+ requires a scalable design for massively parallel recording of
+ extracellular field potentials. We are inventing such a system and
+ implementing a proof-of-concept instantiation. In this system,
+ multi-electrode arrays are used, which minimize tissue damage and help
+ with spike sorting, and time domain multiplexing of analog field
+ potential acquisition reduces interconnect. Channel data is then
+ relayed to a custom-designed terabyte capacity storage network via
+ custom digital circuitry. The storage network is designed to enable
+ neural data to be analyzed in flexible ways, including the evaluation
+ of spike sorting methods.
+
+
+ On the technical side, I am solely responsible for the design and implementation of the ethernet network and high-speed data storage software. In addition, I provide leadership to the project by staying well-versed in all aspects of the system design and maintaining open lines of communication between all technology developers, as well as organizing and documenting the design of the system.
+
+
-
-
- Jung Lee
-
-
-
-
-
- Jung has been working with Kopell and Whittington on several modeling projects. The main one concerns the effects of top-down beta rhythms on attention; Jung showed that such signals resonate with cells in the deep cortical layers, producing gain control and more gamma rhythms in the superficial layers; a paper is almost complete. This work is highly relevant to work done by Miller on top-down attention, and further collaborations are planned. The work also has relevance to aspects of schizophrenia, and conversations are beginning with the group of Kevin Spencer. A second project concerns multiple inhibitory cell types in the rat auditory cortex. See Schizophrenia.
-
-
+
+
+ Jung Lee
+
+
+
+
+
+ Jung has been working with Kopell and Whittington on several modeling projects. The main one concerns the effects of top-down beta rhythms on attention; Jung showed that such signals resonate with cells in the deep cortical layers, producing gain control and more gamma rhythms in the superficial layers; a paper is almost complete. This work is highly relevant to work done by Miller on top-down attention, and further collaborations are planned. The work also has relevance to aspects of schizophrenia, and conversations are beginning with the group of Kevin Spencer. A second project concerns multiple inhibitory cell types in the rat auditory cortex. See Schizophrenia.
+
+
-
-
- Kyle Lepage
-
-
-
-
-
- Kyle has been one of the most active members of the data analyis group. In the past year, he has been involved in CRC related activity involving three main subjects and two more tertiary ones. One primary project was a collaboration with the Kramer, Eden and Desimone groups on spike-field association (statistical procedures used to infer relations between a rhythm in a time series, such as a local field potential recording, and the firing activity of single neuron. Mikio Aoi is also involved. There is now a preprint. A second major project is a collaboration with the Eichenbaum and Eden groups on cells that measure time. More technically, the project deals with the development of statistical procedures to separate the relative influence of covariates of interest such as time and rodent position upon neural activity. There are two papers and several popular press articles about this work. The third major project is a collaboration with the Kramer lab, also involving postdoc ShiNung Ching; it is motivated by techniques used in MEG and EEG experiments to find functionally connected networks, as in the Human Connectome. This work deals with principled estimation of the statistical connectivity between nodes in an evoked network. In this paradigm a stimulus is repeatedly applied to network nodes, one at a time, and evoked activity at nodes is used to infer a statistical relation between node activity. There is a preprint. A smaller project with the group of Shinn-Cunningham concerns MEG eigensource. In this work local bias in MEG source estimates is traded for decreased non-spatially local bias due to unavoidable inverse-problem source localization limitation. A final project, with Kramer, deals with removing bias in EEG measurements due to activity present on either an EEG reference electrode or present in a "re-referencing method"
-
-
+
+
+ Kyle Lepage
+
+
+
+
+
+ Kyle has been one of the most active members of the data analyis group. In the past year, he has been involved in CRC related activity involving three main subjects and two more tertiary ones. One primary project was a collaboration with the Kramer, Eden and Desimone groups on spike-field association (statistical procedures used to infer relations between a rhythm in a time series, such as a local field potential recording, and the firing activity of single neuron. Mikio Aoi is also involved. There is now a preprint. A second major project is a collaboration with the Eichenbaum and Eden groups on cells that measure time. More technically, the project deals with the development of statistical procedures to separate the relative influence of covariates of interest such as time and rodent position upon neural activity. There are two papers and several popular press articles about this work. The third major project is a collaboration with the Kramer lab, also involving postdoc ShiNung Ching; it is motivated by techniques used in MEG and EEG experiments to find functionally connected networks, as in the Human Connectome. This work deals with principled estimation of the statistical connectivity between nodes in an evoked network. In this paradigm a stimulus is repeatedly applied to network nodes, one at a time, and evoked activity at nodes is used to infer a statistical relation between node activity. There is a preprint. A smaller project with the group of Shinn-Cunningham concerns MEG eigensource. In this work local bias in MEG source estimates is traded for decreased non-spatially local bias due to unavoidable inverse-problem source localization limitation. A final project, with Kramer, deals with removing bias in EEG measurements due to activity present on either an EEG reference electrode or present in a "re-referencing method"
+
+
-
-
- Martin Luessi
-
-
-
-
-
-
+
+
+ Martin Luessi
+
+
+
+
+
+
-
-
- Morteza Moazami
-
-
-
-
-
- Morteza is a postdoc in the lab of Miller. He is interested in the functional circuitry for memory and context formation between and within the prefrontal cortex (PFC) and the medial temporal lobe (MTL). PFC neurons reflect the associative relations between stimuli, task instructions, behavioral responses, rewards, etc. Interestingly, MTL neurons show similar properties. Neurophysiological studies have been focused on either the MTL or PFC and the interaction between the MTL and PFC is still unclear. He will simultaneously record - with many electrodes- from the PFC and MTL areas while monkey perform a task that temporally separates neuronal information related to context, sample, and recall of the correct choice. He will investigate the modulation of oscillatory neuronal dynamics between and within the PFC and MTL, during different stage of the task. The second project of Morteza concerns the oscillatory neuronal dynamics of categorization in the PFC. Modulations of neuronal oscillations in the PFC with cognitive demands may regulate whether PFC neurons function as multitaskers. The data from these projects are essential to understanding central questions about the roles of rhythms in cognition, and will provide the basis for modeling efforts. In addition, Morteza helps to run the physiology working group.
-
-
+
+
+ Morteza Moazami
+
+
+
+
+
+ Morteza is a postdoc in the lab of Miller. He is interested in the functional circuitry for memory and context formation between and within the prefrontal cortex (PFC) and the medial temporal lobe (MTL). PFC neurons reflect the associative relations between stimuli, task instructions, behavioral responses, rewards, etc. Interestingly, MTL neurons show similar properties. Neurophysiological studies have been focused on either the MTL or PFC and the interaction between the MTL and PFC is still unclear. He will simultaneously record - with many electrodes- from the PFC and MTL areas while monkey perform a task that temporally separates neuronal information related to context, sample, and recall of the correct choice. He will investigate the modulation of oscillatory neuronal dynamics between and within the PFC and MTL, during different stage of the task. The second project of Morteza concerns the oscillatory neuronal dynamics of categorization in the PFC. Modulations of neuronal oscillations in the PFC with cognitive demands may regulate whether PFC neurons function as multitaskers. The data from these projects are essential to understanding central questions about the roles of rhythms in cognition, and will provide the basis for modeling efforts. In addition, Morteza helps to run the physiology working group.
+
+
-
-
- Lara Rangel
-
-
-
-
-
- Lara is a new postdoc in the lab of Eichebaum (BU). Her work was described above. She interacts frequently with members of the statistics and modeling groups (Eden, Kramer, Kopell). She also talks frequently with members of other CRC labs (Boyden lab, MIT : Annabelle Singer; Wilson lab, MIT : Greg Hale, Sage Chen, and Stuart Layton) to compare data, methodology, and analysis techniques. She is planning further interactions with Omar Ahmed of the Cash lab (MGH) on hippocampal oscillatory activity in humans, the Miller lab (MIT) on beta frequency oscillations, and the Jiamin Zhuo and Nick James of the Han lab (BU), on dentate gyrus function and beta rhythms, respectively. She has also interacted with Whittington at CRC events. She speaks frequently with postdocs Annabelle Singer, Justin Kinney, Omar Ahmed, and Kyle Lepage as well as graduate students Caroline Moore-Kochlacs, Greg Hale, and all the members of the Eichenbaum lab. Lara has already written a grant proposal based on this work: NIH F-32 Individual Postdoctoral Research Grant
-
-
+
+
+ Lara Rangel
+
+
+
+
+
+ Lara is a new postdoc in the lab of Eichebaum (BU). Her work was described above. She interacts frequently with members of the statistics and modeling groups (Eden, Kramer, Kopell). She also talks frequently with members of other CRC labs (Boyden lab, MIT : Annabelle Singer; Wilson lab, MIT : Greg Hale, Sage Chen, and Stuart Layton) to compare data, methodology, and analysis techniques. She is planning further interactions with Omar Ahmed of the Cash lab (MGH) on hippocampal oscillatory activity in humans, the Miller lab (MIT) on beta frequency oscillations, and the Jiamin Zhuo and Nick James of the Han lab (BU), on dentate gyrus function and beta rhythms, respectively. She has also interacted with Whittington at CRC events. She speaks frequently with postdocs Annabelle Singer, Justin Kinney, Omar Ahmed, and Kyle Lepage as well as graduate students Caroline Moore-Kochlacs, Greg Hale, and all the members of the Eichenbaum lab. Lara has already written a grant proposal based on this work: NIH F-32 Individual Postdoctoral Research Grant
+
+
-
-
- Wei Tang
-
-
-
-
-
- Wei studies large-scale networks in the resting human brain with data
- from non-invasive imaging techniques. Under the hypothesis that
- particular sets of brain regions interact with each other to maintain
- an active yet stable intrinsic state, the goal of her work is to
- uncover both the structure and dynamics of such intrinsic networks, in
- the hope that knowledge of the resting state will lead to further
- understanding of how neural electrophysiology gives rise to cognitive
- phenomena.
-
-
- Her current project involves collaborations between several
- laboratories. With MEG data acquired by Stufflebeam’s group, Wei and
- Steve are looking at seed-based Granger-causality maps, assessing
- their spatiotemporal and spectral properties, to explore their
- relationship with the proposed default-mode hypothesis. They will
- later extend the analysis to task data from the same subjects and see
- how the networks change undergoing different cognitive processes.
- Meanwhile, supervised by Matti Hamalainen and Uri Eden, Wei interacts
- with Patrick Purdon’s group at the Martinos Center, developing a
- state-space model based approach to identify the full
- source-connectivity matrix of the MEG signal and monitor its change
- over time. Efforts are being made to advance the methodology dealing
- with high-dimensionality of the data and make the full-network
- tractable. The third collaboration is with Mark Kramer, aiming at
- finding plausible biophysical models that can explain the observed
- network properties. This is an open area of exploration and may serve
- further modeling studies on brain disease such as epilepsy. Results
- from these collaborations together may provide a comprehensive picture
- of how the brain works at different levels.
-
-
+
+
+ Wei Tang
+
+
+
+
+
+ Wei studies large-scale networks in the resting human brain with data
+ from non-invasive imaging techniques. Under the hypothesis that
+ particular sets of brain regions interact with each other to maintain
+ an active yet stable intrinsic state, the goal of her work is to
+ uncover both the structure and dynamics of such intrinsic networks, in
+ the hope that knowledge of the resting state will lead to further
+ understanding of how neural electrophysiology gives rise to cognitive
+ phenomena.
+
+
+ Her current project involves collaborations between several
+ laboratories. With MEG data acquired by Stufflebeam’s group, Wei and
+ Steve are looking at seed-based Granger-causality maps, assessing
+ their spatiotemporal and spectral properties, to explore their
+ relationship with the proposed default-mode hypothesis. They will
+ later extend the analysis to task data from the same subjects and see
+ how the networks change undergoing different cognitive processes.
+ Meanwhile, supervised by Matti Hamalainen and Uri Eden, Wei interacts
+ with Patrick Purdon’s group at the Martinos Center, developing a
+ state-space model based approach to identify the full
+ source-connectivity matrix of the MEG signal and monitor its change
+ over time. Efforts are being made to advance the methodology dealing
+ with high-dimensionality of the data and make the full-network
+ tractable. The third collaboration is with Mark Kramer, aiming at
+ finding plausible biophysical models that can explain the observed
+ network properties. This is an open area of exploration and may serve
+ further modeling studies on brain disease such as epilepsy. Results
+ from these collaborations together may provide a comprehensive picture
+ of how the brain works at different levels.
+
+
-
-
- Sujith Vijayan
-
-
-
-
-
- Sujith was a former student of Wilson, now working mostly with Cash and Kopell on aspects of the alpha rhythm and sleep. Details are above. He is the organizer of the Alpha Working Group.
-
-
+
+
+ Sujith Vijayan
+
+
+
+
+
+ Sujith was a former student of Wilson, now working mostly with Cash and Kopell on aspects of the alpha rhythm and sleep. Details are above. He is the organizer of the Alpha Working Group.
+
+
From 01d16850bc68fa88c182d59133873e35ead22994 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 17:30:53 -0400
Subject: [PATCH 10/59] removing br tags and reordering empty header sections
at top
---
conference/index.md | 24 ++++++++++--------------
1 file changed, 10 insertions(+), 14 deletions(-)
diff --git a/conference/index.md b/conference/index.md
index a9c383d..905507d 100644
--- a/conference/index.md
+++ b/conference/index.md
@@ -24,7 +24,6 @@ The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by
* Markus Siegal (University of Tubingen)
* Robert Knight (UC Berkely)
-
##Organizing Committee:
* E. Boyden
@@ -35,29 +34,30 @@ The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by
* M. Kramer
* E. Miller
-
###Talks:
+##Markus Siegel: Spectral fingerprints of large-scale neuronal interactions.
+
+##Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
+
+##Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
+
+##Charles Wilson: Frequency Tuning of Striatal Interneurons
+
+##Bijan Peseran: Neuronal dynamics during coordination and decision
+
##Beth Buffalo: [Neural Signals for Memory and Space in the Primate Medial Temporal Node](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/beth-buffalo)
-##Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
-
##Earl Miller: [Cognition is Rhythmic](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/earl-miller)
-##Markus Siegel: Spectral fingerprints of large-scale neuronal
-interactions.
-
##Bob Knight: [Oscillations and Human Prefrontal Cortex](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/robert-knight)
-
-##Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
-
##Peter Uhlhaas: [Neural Oscillations in Schizophrenia: Perspectives from MEG](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-uhlhaas)
@@ -70,8 +70,6 @@ interactions.
-##Charles Wilson: Frequency Tuning of Striatal Interneurons
-
##Christa van Dort: [Optogenetic Activation of Cholinergic Neurons in the PPT Induces REM Sleep](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/christa-van-dort)
@@ -79,8 +77,6 @@ interactions.
##Rosalyn Moran: [Dynamic Causal Modeling and Neurophysiology](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/rosalyn-moran)
-##Bijan Peseran: Neuronal dynamics during coordination and decision
-
##Liam Paninski: [Statistical Neuroscience](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/liam-paninski)
From 43528e9b0f0ca9a8c7409774da6fa1b014bb8bf5 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 17:38:30 -0400
Subject: [PATCH 11/59] fix header syntax in subpage layout and conference page
---
_layouts/subpage.html | 3 +--
conference/index.md | 33 ++++++++++++++++++---------------
2 files changed, 19 insertions(+), 17 deletions(-)
diff --git a/_layouts/subpage.html b/_layouts/subpage.html
index 1246af4..602a551 100644
--- a/_layouts/subpage.html
+++ b/_layouts/subpage.html
@@ -1,8 +1,7 @@
---
layout: default
---
-{{ page.title }}
-=================
+# {{ page.title }}
{{ content }}
diff --git a/conference/index.md b/conference/index.md
index 905507d..d873415 100644
--- a/conference/index.md
+++ b/conference/index.md
@@ -36,49 +36,52 @@ The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by
###Talks:
-##Markus Siegel: Spectral fingerprints of large-scale neuronal interactions.
+####Markus Siegel: Spectral fingerprints of large-scale neuronal interactions.
-##Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
+####Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
-##Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
+####Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
-##Charles Wilson: Frequency Tuning of Striatal Interneurons
+####Charles Wilson: Frequency Tuning of Striatal Interneurons
-##Bijan Peseran: Neuronal dynamics during coordination and decision
+####Bijan Peseran: Neuronal dynamics during coordination and decision
-##Beth Buffalo: [Neural Signals for Memory and Space in the Primate Medial Temporal Node](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/beth-buffalo)
+####Beth Buffalo: [Neural Signals for Memory and Space in the Primate Medial Temporal Node](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/beth-buffalo)
-##Earl Miller: [Cognition is Rhythmic](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/earl-miller)
+####Earl Miller: [Cognition is Rhythmic](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/earl-miller)
-##Bob Knight: [Oscillations and Human Prefrontal Cortex](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/robert-knight)
+####Bob Knight: [Oscillations and Human Prefrontal Cortex](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/robert-knight)
-##Peter Uhlhaas: [Neural Oscillations in Schizophrenia: Perspectives from MEG](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-uhlhaas)
+####Peter Uhlhaas: [Neural Oscillations in Schizophrenia: Perspectives from MEG](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-uhlhaas)
-##Charlie Schroeder: [Neural Substrates of Temporal Prediction in Active Sensing](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/charles-schroeder)
+####Charlie Schroeder: [Neural Substrates of Temporal Prediction in Active Sensing](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/charles-schroeder)
-##Peter Brown: [Beta Oscillations in the Human Basal Ganglia](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-brown)
+####Peter Brown: [Beta Oscillations in the Human Basal Ganglia](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-brown)
-##Christa van Dort: [Optogenetic Activation of Cholinergic Neurons in the PPT Induces REM Sleep](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/christa-van-dort)
+####Christa van Dort: [Optogenetic Activation of Cholinergic Neurons in the PPT Induces REM Sleep](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/christa-van-dort)
-##Rosalyn Moran: [Dynamic Causal Modeling and Neurophysiology](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/rosalyn-moran)
+####Rosalyn Moran: [Dynamic Causal Modeling and Neurophysiology](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/rosalyn-moran)
+
-##Liam Paninski: [Statistical Neuroscience](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/liam-paninski)
+####Liam Paninski: [Statistical Neuroscience](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/liam-paninski)
+
-##Astrid Prinz: [How do rhythmically active circuits "analyze" their own activity?](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/astrid-prinz)
+####Astrid Prinz: [How do rhythmically active circuits "analyze" their own activity?](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/astrid-prinz)
+
From e9f0c71eef5e6c0f4c9a4308c0dd9b083d6f9925 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 17:45:31 -0400
Subject: [PATCH 12/59] fixing subpage layout. should be html.
---
_layouts/subpage.html | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/_layouts/subpage.html b/_layouts/subpage.html
index 602a551..d36b22c 100644
--- a/_layouts/subpage.html
+++ b/_layouts/subpage.html
@@ -1,7 +1,7 @@
---
layout: default
---
-# {{ page.title }}
+
{{ content }}
From f529a178cd959c9fd113f6acabacd807a95f8d5f Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 17:50:41 -0400
Subject: [PATCH 14/59] changing talk headers on conference page to h3 level
---
conference/index.md | 32 ++++++++++++++++----------------
1 file changed, 16 insertions(+), 16 deletions(-)
diff --git a/conference/index.md b/conference/index.md
index d873415..7fffff9 100644
--- a/conference/index.md
+++ b/conference/index.md
@@ -34,54 +34,54 @@ The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by
* M. Kramer
* E. Miller
-###Talks:
+##Talks:
-####Markus Siegel: Spectral fingerprints of large-scale neuronal interactions.
+###Markus Siegel: Spectral fingerprints of large-scale neuronal interactions.
-####Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
+###Pascal Fries: Attentional selection and top-down signaling through inter-areal beta- and gamma-band synchronization.
-####Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
+###Fiona leBeau: Region specific differences in the generation and modulation of fast network oscillations in the rodent prefrontal cortex in vitro and in vivo
-####Charles Wilson: Frequency Tuning of Striatal Interneurons
+###Charles Wilson: Frequency Tuning of Striatal Interneurons
-####Bijan Peseran: Neuronal dynamics during coordination and decision
+###Bijan Peseran: Neuronal dynamics during coordination and decision
-####Beth Buffalo: [Neural Signals for Memory and Space in the Primate Medial Temporal Node](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/beth-buffalo)
+###Beth Buffalo: [Neural Signals for Memory and Space in the Primate Medial Temporal Node](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/beth-buffalo)
-####Earl Miller: [Cognition is Rhythmic](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/earl-miller)
+###Earl Miller: [Cognition is Rhythmic](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/earl-miller)
-####Bob Knight: [Oscillations and Human Prefrontal Cortex](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/robert-knight)
+###Bob Knight: [Oscillations and Human Prefrontal Cortex](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/robert-knight)
-####Peter Uhlhaas: [Neural Oscillations in Schizophrenia: Perspectives from MEG](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-uhlhaas)
+###Peter Uhlhaas: [Neural Oscillations in Schizophrenia: Perspectives from MEG](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-uhlhaas)
-####Charlie Schroeder: [Neural Substrates of Temporal Prediction in Active Sensing](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/charles-schroeder)
+###Charlie Schroeder: [Neural Substrates of Temporal Prediction in Active Sensing](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/charles-schroeder)
-####Peter Brown: [Beta Oscillations in the Human Basal Ganglia](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-brown)
+###Peter Brown: [Beta Oscillations in the Human Basal Ganglia](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/peter-brown)
-####Christa van Dort: [Optogenetic Activation of Cholinergic Neurons in the PPT Induces REM Sleep](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/christa-van-dort)
+###Christa van Dort: [Optogenetic Activation of Cholinergic Neurons in the PPT Induces REM Sleep](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/christa-van-dort)
-####Rosalyn Moran: [Dynamic Causal Modeling and Neurophysiology](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/rosalyn-moran)
+###Rosalyn Moran: [Dynamic Causal Modeling and Neurophysiology](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/rosalyn-moran)
-####Liam Paninski: [Statistical Neuroscience](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/liam-paninski)
+###Liam Paninski: [Statistical Neuroscience](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/liam-paninski)
-####Astrid Prinz: [How do rhythmically active circuits "analyze" their own activity?](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/astrid-prinz)
+###Astrid Prinz: [How do rhythmically active circuits "analyze" their own activity?](http://thesciencenetwork.org/programs/rhythmic-dynamics-and-cognition/astrid-prinz)
From 212a27124ea261ef21097a37e315a57ccd3d9583 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 17:57:47 -0400
Subject: [PATCH 15/59] updating people pages to use subpage layout and
standard headers
---
people/faculty/index.md | 12 +++++-------
people/postdoc/index.md | 15 ++++-----------
2 files changed, 9 insertions(+), 18 deletions(-)
diff --git a/people/faculty/index.md b/people/faculty/index.md
index fb55f5b..1e6508f 100644
--- a/people/faculty/index.md
+++ b/people/faculty/index.md
@@ -1,11 +1,9 @@
---
-layout: default
+layout: subpage
title: "People - Faculty"
---
-
People: Faculty
-
Click on a name to view or hide details.
-
Last update: 10 December 2012
-
Director
+####Click on a name to view or hide details. Last update: 10 December 2012
+##Director
The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. The focus is on the frontal lobe, the region of the brain most elaborated in humans and linked to neuropsychiatric disorders. They have provided insights into how categories, concepts, and rules are learned, how attention is focused, and how the brain coordinates thought and action. To this end, the Miller Lab has innovated techniques for studying the activity of many neurons in multiple brain areas simultaneously, which has provided insight into how interactions within local and global networks of neurons interact and collaborate. This work has established a foundation upon which to construct more detailed, mechanistic accounts of how executive control is implemented in the brain and its dysfunction in diseases such as autism, schizophrenia and attention deficit disorder.
+####Click on a name to view or hide details. Last update: 1 October 2012
+
From 0b27fc35be738935541690173689819d811635e5 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:01:47 -0400
Subject: [PATCH 16/59] clean up index headers
---
index.md | 21 ++++++++++-----------
1 file changed, 10 insertions(+), 11 deletions(-)
diff --git a/index.md b/index.md
index 2face92..a4f9c73 100644
--- a/index.md
+++ b/index.md
@@ -3,27 +3,26 @@ layout: default
title: "Cognitive Rhythms Collaborative"
---
-
- The Cognitive Rhythms Collaborative (CRC) is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention,
-learning, memory and motor planning.
+The Cognitive Rhythms Collaborative (CRC) is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention,
+learning, memory and motor planning.
-
The members of the CRC come from multiple institutions around the Boston area and beyond (see Faculty). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
-
+The members of the CRC come from multiple institutions around the Boston area and beyond (see Faculty). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
-
News and Events
-
----
+The CRC is supported by the National Science Foundation and the McGovern Center.
+# News and Events
# [Spring 2014 Mini-Symposium: Frontiers in Non-Invasive Brain Stimulation](img/CRC2014F-Mini-Symposium.pdf)
### Cognitive Rhythms Collaborative and Center for Computational Neuroscience and Neural Technology
#### Registration free, but required. Email [xiaoshi@bu.edu](mailto:xiaoshi@bu.edu?Subject=Mini-Symposium%20registration").
-Wednesday, April 16, 2014 at 1 pm
+### Wednesday, April 16, 2014 at 1 pm
+
+Boston University Photonics Center 206
+
+8 Saint Mary Street
-Boston University Photonics Center 206
-8 Saint Mary Street
Boston, MA 02215
* 1:00 - 1:15 Registration
From 540958186020de6dfa92c596de1392190068145d Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:23:00 -0400
Subject: [PATCH 17/59] index: converting URLs to md, more html removal
---
index.md | 15 ++++-----------
1 file changed, 4 insertions(+), 11 deletions(-)
diff --git a/index.md b/index.md
index a4f9c73..c6dc108 100644
--- a/index.md
+++ b/index.md
@@ -3,15 +3,14 @@ layout: default
title: "Cognitive Rhythms Collaborative"
---
-The Cognitive Rhythms Collaborative (CRC) is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention,
-learning, memory and motor planning.
+The **Cognitive Rhythms Collaborative (CRC)** is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention, learning, memory and motor planning.
-The members of the CRC come from multiple institutions around the Boston area and beyond (see Faculty). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
+The members of the CRC come from multiple institutions around the Boston area and beyond [Faculty]({{ site.url }}{{ site.baseurl }}people/faculty/)). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
-The CRC is supported by the National Science Foundation and the McGovern Center.
+The CRC is supported by the [National Science Foundation](http://www.nsf.org) and the [McGovern Center](http://mcgovern.mit.edu).
# News and Events
-# [Spring 2014 Mini-Symposium: Frontiers in Non-Invasive Brain Stimulation](img/CRC2014F-Mini-Symposium.pdf)
+## [Spring 2014 Mini-Symposium: Frontiers in Non-Invasive Brain Stimulation](img/CRC2014F-Mini-Symposium.pdf)
### Cognitive Rhythms Collaborative and Center for Computational Neuroscience and Neural Technology
@@ -20,9 +19,7 @@ The CRC is supported by the Nationa
### Wednesday, April 16, 2014 at 1 pm
Boston University Photonics Center 206
-
8 Saint Mary Street
-
Boston, MA 02215
* 1:00 - 1:15 Registration
@@ -37,10 +34,6 @@ Boston, MA 02215
* "Characterizing and guiding brain networks with noninvasive brain stimulation"
* 4:30 Discussion / Reception
----
-
-
-
---
From 36d2353901e9d1209f87454129e0cc9d0c7b9958 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:29:59 -0400
Subject: [PATCH 18/59] index: more cleanup, fixing link
---
index.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/index.md b/index.md
index c6dc108..9021459 100644
--- a/index.md
+++ b/index.md
@@ -5,19 +5,19 @@ title: "Cognitive Rhythms Collaborative"
The **Cognitive Rhythms Collaborative (CRC)** is a group of scientists in the Boston area who work together to advance our understanding of the brain dynamics underlying cognitive functions such as sensory processing, attention, learning, memory and motor planning.
-The members of the CRC come from multiple institutions around the Boston area and beyond [Faculty]({{ site.url }}{{ site.baseurl }}people/faculty/)). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
+The members of the CRC come from multiple institutions around the Boston area and beyond (see [Faculty]({{ site.url }}{{ site.baseurl }}people/faculty/)). We encourage those who are interested in working with us or participating in our events to contact Nancy Kopell (nk at bu.edu).
The CRC is supported by the [National Science Foundation](http://www.nsf.org) and the [McGovern Center](http://mcgovern.mit.edu).
# News and Events
-## [Spring 2014 Mini-Symposium: Frontiers in Non-Invasive Brain Stimulation](img/CRC2014F-Mini-Symposium.pdf)
+## Spring 2014 Mini-Symposium: Frontiers in Non-Invasive Brain Stimulation
### Cognitive Rhythms Collaborative and Center for Computational Neuroscience and Neural Technology
#### Registration free, but required. Email [xiaoshi@bu.edu](mailto:xiaoshi@bu.edu?Subject=Mini-Symposium%20registration").
### Wednesday, April 16, 2014 at 1 pm
-
+[Event flyer](img/CRC2014F-Mini-Symposium.pdf)
Boston University Photonics Center 206
8 Saint Mary Street
Boston, MA 02215
From 2cc663ead014cc13d72822c43edb0eb350a279ab Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:42:12 -0400
Subject: [PATCH 19/59] adjust h1 styling to have horizontal rule under it
---
css/cbd.css | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/css/cbd.css b/css/cbd.css
index 2637cae..4269253 100644
--- a/css/cbd.css
+++ b/css/cbd.css
@@ -110,10 +110,12 @@ img.map {
}
h1 {
- margin: 10px 0px 6px 0px;
+ margin: 10px 0px 15px 0px;
font-size: 20px;
color: #ca0001;
- }
+ border-bottom: 2px solid #BBB;
+}
+
#title {
margin: 0px 0px 15px 0px;
font-size: 24px;
From 6f4f522b8b5cb9d2eab8e927b3b229adb1b60474 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:43:40 -0400
Subject: [PATCH 20/59] adding padding to h1 styling
---
css/cbd.css | 1 +
1 file changed, 1 insertion(+)
diff --git a/css/cbd.css b/css/cbd.css
index 4269253..2d687bd 100644
--- a/css/cbd.css
+++ b/css/cbd.css
@@ -111,6 +111,7 @@ img.map {
h1 {
margin: 10px 0px 15px 0px;
+ padding: 0px 0px 5px 0px;
font-size: 20px;
color: #ca0001;
border-bottom: 2px solid #BBB;
From 5d6f274cbd3e50056b3e61dbf6319b3bab0054e3 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 18:51:02 -0400
Subject: [PATCH 21/59] index: troubleshooting line breaks
---
index.md | 1 +
1 file changed, 1 insertion(+)
diff --git a/index.md b/index.md
index 9021459..546a25d 100644
--- a/index.md
+++ b/index.md
@@ -18,6 +18,7 @@ The CRC is supported by the [National Science Foundation](http://www.nsf.org) an
### Wednesday, April 16, 2014 at 1 pm
[Event flyer](img/CRC2014F-Mini-Symposium.pdf)
+
Boston University Photonics Center 206
8 Saint Mary Street
Boston, MA 02215
From 80500dd4c6e8ef25ccad92b246bcbfe3c099cc51 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 20:56:00 -0400
Subject: [PATCH 22/59] index: use way too many line breaks
---
index.md | 2 ++
1 file changed, 2 insertions(+)
diff --git a/index.md b/index.md
index 546a25d..e117d3d 100644
--- a/index.md
+++ b/index.md
@@ -20,7 +20,9 @@ The CRC is supported by the [National Science Foundation](http://www.nsf.org) an
[Event flyer](img/CRC2014F-Mini-Symposium.pdf)
Boston University Photonics Center 206
+
8 Saint Mary Street
+
Boston, MA 02215
* 1:00 - 1:15 Registration
From c40140ba464c8e86db529fb5708b3bf2f27ed0f1 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 21:05:43 -0400
Subject: [PATCH 23/59] index: you have to add two spaces before a line break
---
index.md | 8 +++-----
1 file changed, 3 insertions(+), 5 deletions(-)
diff --git a/index.md b/index.md
index e117d3d..e1e27cd 100644
--- a/index.md
+++ b/index.md
@@ -19,10 +19,8 @@ The CRC is supported by the [National Science Foundation](http://www.nsf.org) an
### Wednesday, April 16, 2014 at 1 pm
[Event flyer](img/CRC2014F-Mini-Symposium.pdf)
-Boston University Photonics Center 206
-
-8 Saint Mary Street
-
+Boston University Photonics Center 206
+8 Saint Mary Street
Boston, MA 02215
* 1:00 - 1:15 Registration
@@ -39,6 +37,6 @@ Boston, MA 02215
---
-
+
From a63983f49f0a6c8c3d83ab624e4677b50703650c Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 21:27:34 -0400
Subject: [PATCH 24/59] convert working groups page to markdown subpage
---
groups/index.md | 106 ++++++++++++++++++++++--------------------------
1 file changed, 48 insertions(+), 58 deletions(-)
diff --git a/groups/index.md b/groups/index.md
index f07e0f6..f467f80 100644
--- a/groups/index.md
+++ b/groups/index.md
@@ -1,60 +1,50 @@
---
-layout: default
-title: "Groups"
+layout: subpage
+title: "Working Groups"
---
-
Working Groups
-
Group names, typical meeting times, and points of contact
-
Alpha rhythms
-
-
Led by Nancy Kopell and Sujith Vijayan
-
Mechanisms underlying alpha
-
Role of alpha in attention and cognitive tasks
-
-
-
Auditory attention
-
-
Led by Dan Polley
-
Interaction of thalamus and cortex
-
Dynamics of layers in auditory cortex
-
Interaction with prefrontal cortex
-
-
-
Beta rhythms
-
-
Led by Lara Rangel
-
Role of beta in learning, movement, and attention
-
Identification of other common beta themes
-
-
-
Methods of data analysis (Fri 10:30-12:00)
-
-
Led by Mark Kramer and Uri Eden
-
Novel methodology
-
Network inference
-
Time-Frequency analysis: contours of constant phase
-
Estimating phases
-
-
-
Physiology data analysis (Tues 4:00-5:00)
-
-
Led by Lara Rangel and Morteza Moazami
-
Current lab research
-
Data analysis
-
-
-
Temporal Aspects of Neuronal Coding (TANK)
-
-
Led by Nancy Kopell and Jonathan Cannon
-
Connections between dynamic neural patterns and representation of information
-
Dynamics in hippocampus
-
Synthesis and modeling of current results in hippocampus research
-
-
Sleep & Memory
-
-
Led by Charmaine Demanuelle and Bengi Baran
-
Brain oscillations during sleep that are critical for learning and memory and how they may go awry in neurological/psychiatric disorders
-
Human and animal work
-
Computational models
-
Aimed to provide a platform for local research groups to present their new hypotheses, experiments and data
+
+## Working Groups
+Group names, typical meeting times, and points of contact.
+
+## Alpha rhythms
+* Led by Nancy Kopell and Sujith Vijayan
+* Mechanisms underlying alpha
+* Role of alpha in attention and cognitive tasks
+
+## Auditory attention
+* Led by Dan Polley
+* Interaction of thalamus and cortex
+* Dynamics of layers in auditory cortex
+* Interaction with prefrontal cortex
+
+## Beta rhythms
+* Led by Lara Rangel
+* Role of beta in learning, movement, and attention
+* Identification of other common beta themes
+
+## Methods of data analysis (Fri 10:30-12:00)
+* Led by Mark Kramer and Uri Eden
+* Novel methodology
+* Network inference
+* Time-Frequency analysis: contours of constant phase
+* Estimating phases
+
+## Physiology data analysis (Tues 4:00-5:00)
+* Led by Lara Rangel and Morteza Moazami
+* Current lab research
+* Data analysis
+
+## Temporal Aspects of Neuronal Coding (TANK)
+* Led by Nancy Kopell and Jonathan Cannon
+* Connections between dynamic neural patterns and representation of information
+* Dynamics in hippocampus
+* Synthesis and modeling of current results in hippocampus research
+
+## Sleep & Memory
+* Led by Charmaine Demanuelle and Bengi Baran
+* Brain oscillations during sleep that are critical for learning and memory and how they may go awry in neurological/psychiatric disorders
+* Human and animal work
+* Computational models
+* Aimed to provide a platform for local research groups to present their new hypotheses, experiments and data
+
+For more information, please contact *cogweb at math.bu.edu*.
From e91e3dd30fad648bfa625bd2d1970365f499e5a5 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 21:30:39 -0400
Subject: [PATCH 25/59] missed a couple things on working group page cleanup
---
groups/index.md | 55 ++++++++++++++++++++++++-------------------------
1 file changed, 27 insertions(+), 28 deletions(-)
diff --git a/groups/index.md b/groups/index.md
index f467f80..dc924d9 100644
--- a/groups/index.md
+++ b/groups/index.md
@@ -3,48 +3,47 @@ layout: subpage
title: "Working Groups"
---
-## Working Groups
Group names, typical meeting times, and points of contact.
## Alpha rhythms
-* Led by Nancy Kopell and Sujith Vijayan
-* Mechanisms underlying alpha
-* Role of alpha in attention and cognitive tasks
+#### Led by Nancy Kopell and Sujith Vijayan
+* Mechanisms underlying alpha
+* Role of alpha in attention and cognitive tasks
## Auditory attention
-* Led by Dan Polley
-* Interaction of thalamus and cortex
-* Dynamics of layers in auditory cortex
-* Interaction with prefrontal cortex
+#### Led by Dan Polley
+* Interaction of thalamus and cortex
+* Dynamics of layers in auditory cortex
+* Interaction with prefrontal cortex
## Beta rhythms
-* Led by Lara Rangel
-* Role of beta in learning, movement, and attention
-* Identification of other common beta themes
+#### Led by Lara Rangel
+* Role of beta in learning, movement, and attention
+* Identification of other common beta themes
## Methods of data analysis (Fri 10:30-12:00)
-* Led by Mark Kramer and Uri Eden
-* Novel methodology
-* Network inference
-* Time-Frequency analysis: contours of constant phase
-* Estimating phases
+#### Led by Mark Kramer and Uri Eden
+* Novel methodology
+* Network inference
+* Time-Frequency analysis: contours of constant phase
+* Estimating phases
## Physiology data analysis (Tues 4:00-5:00)
-* Led by Lara Rangel and Morteza Moazami
-* Current lab research
-* Data analysis
+#### Led by Lara Rangel and Morteza Moazami
+* Current lab research
+* Data analysis
## Temporal Aspects of Neuronal Coding (TANK)
-* Led by Nancy Kopell and Jonathan Cannon
-* Connections between dynamic neural patterns and representation of information
-* Dynamics in hippocampus
-* Synthesis and modeling of current results in hippocampus research
+#### Led by Nancy Kopell and Jonathan Cannon
+* Connections between dynamic neural patterns and representation of information
+* Dynamics in hippocampus
+* Synthesis and modeling of current results in hippocampus research
## Sleep & Memory
-* Led by Charmaine Demanuelle and Bengi Baran
-* Brain oscillations during sleep that are critical for learning and memory and how they may go awry in neurological/psychiatric disorders
-* Human and animal work
-* Computational models
-* Aimed to provide a platform for local research groups to present their new hypotheses, experiments and data
+#### Led by Charmaine Demanuelle and Bengi Baran
+* Brain oscillations during sleep that are critical for learning and memory and how they may go awry in neurological/psychiatric disorders
+* Human and animal work
+* Computational models
+* Aimed to provide a platform for local research groups to present their new hypotheses, experiments and data
For more information, please contact *cogweb at math.bu.edu*.
From 0d613e0a2e15f12aa0e84c0f2680698ee08cb369 Mon Sep 17 00:00:00 2001
From: Kelly Buchanan
Date: Sat, 3 May 2014 21:50:39 -0400
Subject: [PATCH 26/59] removing htm files
---
calendar.htm | 154 -----------
conference.htm | 215 ----------------
contact.htm | 113 --------
courses.htm | 136 ----------
groups.htm | 163 ------------
people_faculty.htm | 609 --------------------------------------------
people_postdoc.htm | 395 ----------------------------
positions.htm | 135 ----------
research_papers.htm | 566 ----------------------------------------
research_topics.htm | 209 ---------------
10 files changed, 2695 deletions(-)
delete mode 100644 calendar.htm
delete mode 100644 conference.htm
delete mode 100644 contact.htm
delete mode 100644 courses.htm
delete mode 100644 groups.htm
delete mode 100644 people_faculty.htm
delete mode 100644 people_postdoc.htm
delete mode 100644 positions.htm
delete mode 100644 research_papers.htm
delete mode 100644 research_topics.htm
diff --git a/calendar.htm b/calendar.htm
deleted file mode 100644
index 2b8ae6b..0000000
--- a/calendar.htm
+++ /dev/null
@@ -1,154 +0,0 @@
-
-
-
-
-
- Cognitive Rhythms Collaborative
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[4-5 Jun 2013] CRC Conference: Rhythmic Dynamics and Cognition
-
-
[27 Sep 2012] CRC Dinner with speaker Kevin Spencer
-
-
[10 Sep 2012] CRC Lecture by Robert Kass
-
-
[25 Jun 2012] CRC Dinner with
-speaker Ed Boyden
-
-
[4 Apr 2012] CRC Retreat
-
-
[23 Feb 2012] CRC Dinner with speaker Matt Wilson
-
-
[1 Feb 2012] Mini-symposium Beta Rhythms and Cognition. Speakers: Earl Miller, Nancy Kopell, Stephanie Jones, Nicholas Schiff, Keith Purpura (Afternoon event with reception at the end)
-
-
[26 Jan 2012] Special Talk: Natalie Adams, "Development of patterned activity in de novo neuronal networks," 4pm at BU
-
-
[16 Dec 2011] CRC Happy Hour 4-6
-
-
[12 Dec 2011] CRC Dinner with speaker Emery Brown
-
-
[7 Nov 2011] Grant Writing Seminar by Cyndi Bradham (Slides)
-
-
[17 Oct 2011] CRC Dinner with speaker Earl Miller
-
-
[12 July 2011] Talk by Yale Cohen on auditory processing
-
-
[2 May 2011] CRC Dinner with speakers Barry Connors and Erika Fanslow
-
-
[14 Apr 2011] CBD Spring
-Mini-Symposium Brain
-Rhythms and Audition hosted by the Center for Biodynamics and Bahaa
-Hariri Institute for Computational Science and Engineering
-
-
-
[15 Feb 2011] CRC Dinner with speaker Ed Boyden
-
-
[10 Dec 2010] CRC Dinner with speaker Mingzhou Ding
-
-
[26 Oct 2010] CRC Dinner with speaker Syd Cash
-
-
[11 Aug 2010] CRC Dinner with speaker Miles Whittington
-
-
[28 Jun 2010] CRC Dinner with speakers Barb Shinn-Cunningham and Matti Hämäläinen
The Rhythmic Dynamics and Cognition Conference was a two-day event sponsored by the Cognitive Rhythms Collaborative (CRC), held at the Brain Building (Building 46) on the MIT campus in 2013. Proceedings included lectures, a reception, and a poster session. Videos of the lectures and an archive of the program are provided here.
Beth Buffalo: Rhythmic neural activity and memory formation
-
Pascal Fries: Attentional selection and top-down signaling through
-inter-areal beta- and gamma-band synchronization.
-
-
Coffee Break: 10:30 - 11:00
-
Morning Session 2: 11:00 - 12:30
-
-
Earl Miller: Brain Rhythms and Executive Control
-
Markus Siegel: Spectral fingerprints of large-scale neuronal
-interactions.
-
-
Lunch: 12:30 - 2:15
-
Afternoon: 2:15 - 4:30
-
-
Bob Knight: Oscillations and Human Prefrontal Cortex.
-
Fiona leBeau: Region specific differences in the generation and
-modulation of fast network oscillations in the rodent prefrontal cortex in
-vitro and in vivo.
-
Peter Uhlhaas: Neural Oscillations in Schizophrenia: Perspectives from
-MEG.
-
-
Reception, poster session: 4:30 - 7
-
-
June 5
-
Morning 9:00 - 12:15
-
-
Charlie Schroeder: Neuronal Dynamics Underlying Temporal
-Prediction
-
Peter Brown: Basal ganglia beta: idling, blocking or maintaining the
-status quo?
-
15 min break
-
Charles Wilson: Frequency Tuning of Striatal Interneurons.
-
Christa van Dort: Optogenetic Activation of Cholinergic Neurons in the
-PPT Induces REM Sleep.
-
-
Lunch: 12:15 - 2:00
-
Afternoon: 2:00 - 5:15 (emphasis on data analysis)
-
-
Rosalyn Moran: Dynamic Causal Models to unpack the physiological
-connectivity of oscillatory brain networks.
-
Bijan Peseran: Neuronal dynamics during coordination and
-decision.
-
15 min break
-
Liam Paninski TBA
-
Astrid Prinz: Recovery of rhythmic in a pattern-generating circuit
-after injury
-BU MA665: Introduction to Modeling and Data Analysis in Neuroscience. (Kramer). 2-credit course for intro neurosci students. Topics include: basic spike train analysis, basic computational models of spiking, the Hodgkin-Huxley model of spiking, an introduction to Fourier series, and an introduction to networks. Meets twice a week, with one lecture and one computer lab.
-
-BU MA666: Advanced Modeling and Data Analysis in Neuroscience. (Kramer). 2-credit course for more mathematically advanced neurosci students. Topics include introductions to: correlation and coherence analysis, cross frequency coupling, and bifurcations in model neurons. Meets twice a week, with one lecture and one computer lab.
-
-BU MA 568 Statistical Analysis of Point Process Data. (Eden). Introduces the theory of point processes and develops practical problem-solving skills to construct models, assess goodness-of-fit, and perform estimation from point process data.
-
-HST.576 Topics in Neural Signal Processing (Brown). Focuses on signal processing methods for the analysis of stochastic dynamical systems in neuroscience. Includes state-space methods and dynamic Baysian methods applied to continuous and point process observations.
-
-HST.460 Statistics for Neuroscience Research, (Brown) A survey of statistical methods for neuroscience research. Core topics include introductions to the theory of point processes, the generalized linear model, Monte Carlo methods, Bayesian methods, multivariate methods, time-series analysis, spectral analysis and state-space modeling. This course was developed jointly with Eden and a version is being planned for BU. (Eden)
-
-HST.563 Imaging Biophysics and Applications (S. Stufflebeam, D. Boas). Introduction to the connections and distinctions among various imaging modalities (ultrasound, MRI, EEG, optical), common goals of biomedical imaging, broadly defined target of biomedical imaging, and the current practical and economic landscape of biomedical imaging research.
-
-MIT- MAS.881/20.452/9.422, (Boyden), Principles of Neuroengineering. Tools and methods for analyzing brain dynamics, which was attended by undergraduate and graduate students throughout the CRC network.
-
-MIT- MAS.883/9.455/20.454/15.128/HST.588 (Boyden) Neurotechnology
-Ventures. Special seminar on how to get neuroengineering innovations
-out into the world.
-
-Tufts Math 150 (Borgers) Mathematical Neuroscience. Introduction to modeling neurons and
-neuronal networks using differential equations. Hodgkin-Huxley equations; phase
-plane analysis and bifurcation theory applied to neuronal models; reduced
-models (integrate-and-fire neurons, theta neurons); modeling chemical and
-electrical synapses; synchronization, rhythms, and waves in neuronal networks.
-
My major interest is dynamics of the nervous system, especially brain
-rhythms associated with cognition. The central questions are: what are the
-networks and physiology that produce these rhythms; how do the
-physiological properties of those networks affect the use of the dynamics
-in cognition; can changes in the rhythms in disease give insights into the
-nature and treatments of diseases? I'm currently working on projects
-relating to physiology and interaction of rhythms, attention, Parkinson's
-disease, schizophrenia and anesthesia; with collaborators, the work
-involves in vivo and in vitro experiments, dynamical systems modeling and
-simulation, and geometric singular perturbations.
We are inventing new tools for analyzing and engineering brain
-circuits. For example, we have devised 'optogenetic' tools, which
-enable the activation and silencing of neural circuit elements with
-light, to understand their causal contribution to normal and
-pathological neural computations, as well as to support the discovery
-and repair of neural circuit targets in a therapeutic context. We are
-using our inventions to enable systematic approaches to neuroscience,
-revealing how neural circuits operate to generate behavior, and
-empowering new therapeutic strategies for neurological and psychiatric
-disorders.
My research focuses on developing mathematical and statistical methods to analyze neural spiking activity. I have worked to integrate methodologies related to model identification, statistical inference, signal processing, and stochastic estimation and control, and expand these methodologies to incorporate point process observation models, making them more appropriate for modeling the dynamics of neural systems observed through spike train data. This research can be divided into two categories; first, a methodological component, focused on developing a statistical framework for relating neural activity to biological and behavioral signals and developing estimation algorithms, goodness-of-fit analyses, and mathematical theory that can be applied to any neural spiking system; second, an application component, wherein these methods are applied to spiking observations in real neural systems to dynamically model the spiking properties of individual neurons, to characterize how ensembles maintain representations of associated biological and behavioral signals, and to reconstruct these signals in real time.
-
-
-
-
Matti Hämäläinen
-
MGH/Harvard Medical School/Martinos Imaging Center
The Athinoula A. Martinos Center at the Massachusetts General Hospital has a twofold mission to advance the development of imaging technologies and
-their integration with complementary technologies, and to apply these technologies to support basic
-science and translational research that is driven by an overarching interest in the continuous long-term
-improvement of clinical care. Martinos Center investigators are innovating in the areas of anatomical
-and functional magnetic resonance imaging (MRI) and spectroscopy (MRS), magnetoencephalography
-(MEG) and electroencephalography (EEG), near infrared spectroscopy (NIRS) and diffuse optical
-tomography (DOT), and positron emission tomography (PET) as well as cutting-edge tools for
-computational image analysis. The Center supports over 200 PHS-funded research projects at the
-MGH and other Boston-areas institutions, as well as other institutions in the United States and abroad.
-Research activities at the Martinos Center are supported institutionally as well as by Federal and
-foundation grants. Martinos Center investigators and their broad network of colleagues are at the
-forefront of developing advanced imaging technologies, integrating those technologies for multimodality
-acquisition, and deriving novel acquisition and analysis methods for the rich body of imaging
-data now acquired with these technologies. Funded by a P41 Regional Resource grant, from National
-Center for Research Resources, the Martinos Center and its Center for Functional Neuroimaging
-Technologies is a region-wide resource, broadly used by basic and clinical scientists who employ the
-full range of imaging technologies available at the Center to address questions of fundamental
-importance in fields ranging from neurovascular, neurological, and psychiatric disorders to cognitive
-neuroscience to cancer and cardiovascular function.
-
-
-
-
Stephanie Jones
-
Brown University
-
-
Dr. Jones uses her background in dynamical systems theory mathematics and computational neural modeling to study neural dynamics in health and disease. She is trained in MEG/EEG imaging and currently uses computational modeling techniques to bridge the critical gap between the non-invasive imaging observables and the underlying microscopic cellular and network level mechanisms. Her current projects and interest include:
-
-
Investigating the neural dynamics underlying normal development in children ages 0-6 as well as neural abnormalities in children with encephalopathy of
-prematurity (EP). In collaboration with Drs. Ellen Grant and Yoshio Okada at CHB, we are studying development with a powerful combination of techniques including mathematical modeling, MR diffusion tensor imaging, and MEG imaging.
-
-
Studying the mechanisms and functions of neural rhythms including their role in sensory perception, attentional processes, and healthy aging. We are also investigating the source of disruption in brain rhythms in diseases such as Parkinson's Disease, Obsessive Compulsive Disorder, and Attention Deficit Disorder.
-
-
Investigating plasticity induced by training in perceptual attention. In collaboration with Dr. Cathy Kerr at HMS we are studying neurodynamics underlying Mindfulness Medidation Practice.
-
-
Combing computational modeling and optogenetic techniques, in collaboration with Dr. Chris Moore at Brown University, to study neural dynamics. We are currently delineating the role of specific cell types in controlling neocortical rhythmicity and investigating the impact of these rhythms on sensory perception.
The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. The focus is on the frontal lobe, the region of the brain most elaborated in humans and linked to neuropsychiatric disorders. They have provided insights into how categories, concepts, and rules are learned, how attention is focused, and how the brain coordinates thought and action. To this end, the Miller Lab has innovated techniques for studying the activity of many neurons in multiple brain areas simultaneously, which has provided insight into how interactions within local and global networks of neurons interact and collaborate. This work has established a foundation upon which to construct more detailed, mechanistic accounts of how executive control is implemented in the brain and its dysfunction in diseases such as autism, schizophrenia and attention deficit disorder.
-
-
-
Affiliated Faculty
-
-
-
Seppo P. Ahlfors
-
MGH/Harvard Medical School/Martinos Imaging Center
My research concerns spatiotemporal imaging of human brain function. I have applied integrated magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) to studies of cortical processing of visual information. My research involves development of techniques for the analysis of multimodal biomedical imaging data, including the use of fMRI data to inform the source estimation (inverse problem) of MEG and EEG. Currently I am studying computationally the characteristics of the sensitivity of MEG and EEG sensor arrays as well as the relationship of MEG and EEG signals to the cortical anatomy and physiology. Collaborative work focuses on the application of MEG, EEG, and fMRI techniques to reveal neural activation patterns related to cognitive processing in normal and clinical populations.
Most of my work is on designing and analyzing computational models in neuroscience. Current projects concern the role of different populations of inhibitory cells in gamma oscillations, modeling of the impact of astrocytes on neuronal activity, and synchronization via gap junctions. I also have one current research project unrelated to neuroscience, on numerical methods for linear Boltzmann equations.
Current research in the lab is, broadly speaking, dedicated to trying to understand normal and abnormal brain activity, particularly oscillations, using multi-modal and multi-scalar approaches. Specifically, we are combining novel microelectrode approaches with non-invasive techniques such as electroencephalography and magnetoencephalography to record directly from both human and animal cortex and subcortical structures. One part of the lab studies the neurophysiology of epilepsy; trying to understand how seizures start and stop and how they might be predicted and terminated. These questions overlap with investigations into the mechanisms of sleep, normal language, auditory, and other cognitive processing.
-All of these projects are built on a foundation of combined microelectrode, macroelectrode and non-invasive recording techniques that span information from the level of single action potentials to aggregate activity of millions of neurons. Intensive signal processing and computational techniques are employed to analyze these data sets. Collaborative activities involving neural modeling are aimed at relating these multi-scalar data. Ultimately, all of these projects aim toward the creation of both invasive and non-invasive mechanisms for restoring damaged neuronal function.
-
Dr. Cheng is a neurosurgeon whose laboratory studies the neural basis of different cognitive processes that underlie diseases such as Parkinson's and other movement disorders, pain, epilepsy, depression, and other more rare neurological conditions. The goal of his laboratory is neurorestoration, the idea that therapies can be devised to restore the original function of the brain and spinal cord.
-
Our primary techniques include the use of psychopharmacology, electrical stimulation and reversible lesioning to enhance or alter brain, spine and peripheral nerve function. We measure the results in our subjects with behavioral tasks coupled with intraoperative and extraoperative electrophysiology in human subjects: EEG, electrocorticography (ECoG), extracellular field potential recordings, and single unit microelectrode recordings from multiple brain and spine structures (subthalamic nucleus, caudate, globus pallidus, thalamus, nucleus accumbens, substantia nigra, neocortical areas, dorsal columns, the dorsal horn, etc.). We also use these electrophysiological tools to complement molecular techniques in the study of animal models of hydrocephalus and neurodegenerative disease. We are ultimately interested in applying our findings to the creation of open and closed loop stimulatory devices that can help human patients with neurological and psychiatric diseases. Ultimately, the information we learn will help us create brain and spine machine interfaces to fight disease and change human interaction with the external world.
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A complex visual scene will typically contain many different objects, few of which are currently relevant to behavior. Thus, attentional mechanisms are needed to select the relevant objects from the scene and to reject the irrelevant ones. Neurophysiological studies in our own and other labs have identified some of the neural mechanisms of attentional selection within the ventral, "object recognition", stream of the cortex. At each stage along this stream, attended, or behaviorally relevant, stimuli are processed preferentially compared to irrelevant distracters. In recent years, we have found that the top-down attentional bias is expressed, at least in part, in visual cortex through an increase in high-frequency (gamma) synchronization of neurons carrying critical information about the location or features of the behaviorally relevant stimulus. Increases in gamma synchrony are found during both spatial attention and featural attention engaged during visual search, and the presence of synchrony predicts faster responses in visual tasks. Recent evidence shows that inputs from the frontal eye fields (FEF) in prefrontal cortex initiates coupled gamma-frequency oscillations between FEF and area V4 during attention, and these oscillations are shifted in time across the two areas to allow for maximally effective communication. Cross-area synchrony may be a general mechanism for regulating information flow through the brain and for regulating spike-timing dependent plasticity.
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The research program of this laboratory is focused on four closely related projects that seek to understand the brain circuity that supports memory. This research is guided by the hypothesis that our ability to remember specific experiences relies on an organization of memories about objects and the events in the context in which they occurred. We believe that associations between objects and context is accomplished through the circuitry of the medial temporal lobe, in which parallel pathways represent information about objects and about context, and these streams of information converge within the hippocampus. A project central to this goal seeks to characterize how neurons in key components of the medial temporal lobe encode these different types of information and how components of this brain system interact with one another. Another project explores how the hippocampus is initially critical to the associations between objects and context but eventually these associations consolidate in cortical areas with which the hippocampus is connected. Another project explores how the prefrontal cortex controls the retrieval of memories as they bear on ongoing cognitive processes. And yet another project explores how hippocampal networks represent objects in the spacial and temporal context in which they occur. Together these projects will provide new insights into how memories are organized within the medial temporal lobe memory system and how memories are retrieved when we recall our daily experiences.
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We conduct a tightly integrated computational and experimental research program across three sites (BU, NYU, Columbia) to study spoken language recognition from the psychophysical, neurophysiological, and engineering perspectives. The program proceeds in four fronts:
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Psychophysics (Ghitza, BU). We measure and model the results of human performance in tasks designed to gain a better understanding on the interplay between neuronal oscillators in different frequency bands, and between the oscillations and the speech syllabic structure;
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Human Neuroimaging. We formulate the intra-relationship among theta, beta and gamma oscillations, using MEG (David Poeppel, NYU) and ECoG (Charles Schroeder, Columbia) data recorded while subjects perform intelligibility tasks;
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Monkey Electrophysiology (Charles Schroeder, Columbia). If the emerging cortical computation principles are fundamental, they must generalize across mammalian species. We are using high-resolution physiological methods to measure the intra-relationship among oscillations using multi-electrode recordings in monkeys listening to stimuli specifically designed to capture the rhythmic aspects of natural speech and music;
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Automatic Speech Recognition (Ghitza, BU). We explore a new perspective to the development of ASR systems that incorporates the insights from the behavioral and brain sciences, specifically rhythmic brain activity. We ascertain whether the proposed cortical computation principle could be used as an adjunct to conventional features used in ASR systems, e.g. in lattice re-scoring of n-best lists – and ultimately result in a decrease in word error rate.
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Stan Goldin
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Harvard Medical School
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Dr. Stan Goldin has been developing some new ideas on a carrier wave function for brain oscillations in discrete frequency bands. His early stage collaboration with BSF Fellow Prof. Ed Boyden of MIT is exploring new ways to design multichannel arrays for automated, rapid, delivery of pharmacological agents to key distributed locations in nerve networks, to help elucidate network function. His collaboration with Dr. Newton Howard of MIT on neural coding mechanisms has revealed novel photonic signaling pathways in the brain, powered by light-generating neuronal redox reactions and employing novel photon absorbing rhodopsin-like proteins discovered within the mammalian brain.
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Dr. Goldin’s laboratory originated research techniques and devices that have been employed to elucidate molecular mechanisms underlying brain waves and brain oscillation circuitry--processes now known to play an important role in long term brain changes (neuroplasticity) and memory formation. He is now finishing a book, Ascent of the Human Brain—An Expanded view of Human Evolution, on modern neuroscience research’s impact on our understanding of human consciousness, selfhood & spirituality.
Ann Graybiel studies the basal ganglia, forebrain structures that are profoundly important for normal brain function but are also implicated in Parkinson's disease, Huntington's disease, obsessive-compulsive disorder, and addiction. Graybiel's work is uncovering neural deficits related to these disorders, as well as the role the basal ganglia play in guiding normal behavior.
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Brain disorders represent the biggest unmet medical need, with many disorders being untreatable, and most treatments presenting serious side effects. Accordingly, we are discovering design principles for novel neuromodulation therapies. We invent and apply a variety of genetic, molecular, pharmacological, optical, and electrical tools to correct neural circuits that go awry within the brain. As an example, we have pioneered several technologies for silencing specific cells in the brain using pulses of light. We have also recently participated the first pre-clinical testing of a novel neurotechnology, optical neural modulation. Using these novel neurotechnologies and classical ones such as deep brain stimulation (DBS), we modulate the function of neural circuits to establish causal links between neural dynamics and behavioral phenomena (e.g., movement, attention, memory, and decision making). One of our current interests is the investigation of how neural synchrony arises within and across brain regions, and how synchronous activity contributes to normal cognition and pathology.
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Subcortical regulation of forebrain activity in the sleep-wake cycle.
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The central focus of my research is the subcortical regulation of hippocampal function and is guided by the general hypothesis that the role of this regulation is to build dynamic associations between several limbic structures that are synchronized by oscillatory population activity. Phasic and rhythmic synchronization of neuronal activity is critical to control the concerted action of spatially separated structures in the brain. The general state and background activity of various brain structures determine how these structures will respond to different specific inputs and how they establish dynamical connections to perform complex functions. An important constituent of these states is the pattern of population activity including coherent oscillations in anatomically scattered structures which can establish functional networks during specific behaviors. Theta synchrony provides an excellent model to study these cooperations and the way in which they differ in specific behavioral states, such as waking exploration and REM sleep.
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Oscillatory processes in cardiovascular control.
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Another model we use to study rhythmic synchronization among neural networks is the autonomic nervous system which is capable of generating different patterns of activity that control the response of the cardiovascular system to changes in the environment (e.g. chemoregulation, thermoregulation, etc.) and different behavioral states (e.g. defense reaction, eating, sleep, etc.). Our guiding hypothesis in this research is that sympathetic rhythm is generated by multiple oscillators and we study the changes in the relationship between these oscillators under different conditions of health and disease.
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We study mathematical neuroscience, with particular emphasis on neural rhythms, brain diseases, dynamical systems, and data analysis. All of the research involves interdisciplinary collaborations with experimentalists and clinicians. We are currently focused on analysis and modeling of multiscale data recorded in vivo from human subjects, and the construction of computational models of multiscale neuronal activity. We are also interested in techniques to infer and analyze functional connectivity networks from multivariate time series data, and how neuroscience can motivate new research questions in mathematics.
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Christopher Moore studies brain dynamics and how they change can change perception from moment to moment.
-The brain's ability to shift the way it processes information—to shift its 'state'—is crucial to surviving in an ever-changing world. Dysregulation of these dynamics are a hallmark of neurologic and psychiatric disease. The laboratory is studying the mechanisms responsible for generating brain states, how they impact the representation of a sensory input, and how, ultimately, they change conscious perception.
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Our work focuses on the role of sensory experience in the development and
-maintenance of functional circuits in the auditory cortex. The auditory
-cortex is powerfully influenced by experience during finite windows of
-development known as critical periods, after which time significant changes
-can only be brought about through learned associations between sounds and
-behaviorally relevant consequences. We study the mechanisms and perceptual
-correlates of cortical plasticity across the lifespan using a variety of
-neurophysiological, genetic, behavioral and computational approaches. We
-also record from subcortical auditory nuclei such as the inferior colliculus
-and auditory thalamus to understand more about features that are relayed to
-the cortex versus constructed there de novo. We believe this class of study
-will contribute towards a richer understanding of normal function, but might
-also hold the key for remediating abnormal auditory signal following a
-history of degraded hearing or deafness in early life. A major goal for our
-group is to apply what we've learned about the dynamic interplay between
-plasticity and stability in animal models towards improving auditory
-processing in humans that have been reconnected to the auditory world
-following a period of prolonged hearing loss.
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Jason Ritt
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Boston University
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The Ritt lab concentrates on how organisms gather and use information from their environment, through processes of active sensing and sensory decision making. Current projects employ electrophysiological, behavioral, optogenetic and theoretical methods applied to the rodent whisker system, a highly refined tactile sensory system. Experiments combine multi-electrode recording of brain activity; high speed videography of behavior and development of automated image analysis algorithms; and optical stimulation of specific cell types (e.g., excitatory vs. inhibitory neurons) using genetically targeted expression of light sensitive ion channels. Parallel modeling uses tools from dynamical systems, control theory and decision theory. Augmenting experiments with model-driven, real-time feedback forms a basis for development of brain machine interfaces, with an emphasis on sensory neural prosthetics, in addition to providing state of the art tools to address basic questions of neural function.
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How do neurons in the brain encode complex natural sounds? What are the neural substrates of selectivity for and discrimination of different categories of natural sounds? Are these substrates innate or shaped by learning?
-Our laboratory investigates these questions in the model system of the songbird. Electrophysiological techniques are used to record neural responses from hierarchical stages of auditory processing. Theoretical methods from areas such as statistical signal processing, systems theory, probability theory, information theory and pattern recognition are applied to characterize how neurons in the brain encode natural sounds. Computational models are constructed to understand the processing of natural sounds both at the single neuron and the network level, to model neural selectivity and discrimination, and to explore the role of learning in shaping the neural code.
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Research in the Auditory Neuroscience Laboratory addresses how listeners communicate and make sense of sounds in everyday settings. We study everything from basic perceptual sensitivity to the ways in which different brain regions coordinate their activity during complex tasks. We use a range of approaches to explore these issues, including human behavioral experiments, human neuroelectric imaging, computational modeling, and, in collaboration with other laboratories, fMRI, animal behavioral experiments, and animal neurophysiology.
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Kevin Spencer
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Harvard Medical School
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Steven Stufflebeam
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MGH/Harvard Medical School/Martinos Imaging Center
Dr. Stufflebeam's goal is to develop and translate advanced technology at the Martinos Center into clinical practice. Currently, he is using MEG/EEG, fMRI, and optical imaging to understand how the brain processes neural information. He applies multiple imaging technologies to understand epilepsy, schizophrenia, and brain neoplasms. He is also setting up a clinical MEG service for New England.
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Dr. Whittington's group has a major interest in mechanisms that generate oscillatory activity with neural networks, how this activity is sustained and how is modulated in various normal and pathological conditions.
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Research in the Wilson laboratory focuses on the study of information representation across large populations of neurons in the mammalian nervous system, as well as on the mechanisms that underlie formation and maintenance of distributed memories in freely behaving animals. To study the basis of these processes, the lab employs a combination of molecular genetic, electrophysiological, pharmacological, behavioral, and computational approaches. Using techniques that allow the simultaneous activity of ensembles of hundreds of single neurons to be examined in freely behaving animals, the lab examines how memories of places and events are encoded across networks of cells within the hippocampus ¬ a region of the brain long implicated in the processes underlying learning and memory.
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-These studies of learning and memory in awake, behaving animals have led to the exploration of the nature of sleep and its role in memory. Previous theories have suggested that sleep states may be involved in the process of memory consolidation, in which memories are transferred from short to longer-term stores and possibly reorganized into more efficient forms. Recent evidence has shown that ensembles of neurons within the hippocampus, which had been activated during behavior are reactivated during periods of dreaming. By reconstructing the content of these states, specific memories can be tracked during the course of the consolidation process.
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-Combining the measurement of ongoing neuronal activity with manipulation of molecular genetic targets has allowed the study of how specific cellular mechanisms regulate neural function to produce learning and memory at the behavioral level. Pharmacological blockage of these receptors has allowed the study of their involvement in the rapid changes that occur during both waking and sleeping states. Simultaneous monitoring of areas in the hippocampus and neocortex have allowed study of the downstream effects of activation.
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-Taken together, these approaches contribute to the overall research objective: to understand the link from cellular/subcellular mechanisms of plasticity, to neural ensemble representations and interactions, to learning, memory, behavior, and cognition.
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- My interests lie broadly in understanding how the brain represents perceptual information and why
- this may differ in pathological states related to autism and schizophrenia. I am tackling this using
- in vitro electrophysiological techniques in collaboration with mathematical modellers to look at
- mechanisms of network rhythm generation, modulation and interaction in the anterior cingulate
- region of prefrontal cortex.
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- Currently, my research is focussed on exploring aspects of frontal cortical function that facilitate
- learning of sequences of sensory events (e.g. Siegel, M., et al 2009). I am interested in how precise
- spike timing in individual neurons or small sub-populations relates to the local field oscillation as a
- marker of the overall average of event timing relevant to a given stimulus.
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- So far my work has revealed that many neurons in the anterior cingulate cortex possess the ability
- to intrinsically oscillate at sub-threshold levels. With varying degrees of tonic excitation these sub-
- threshold oscillations (STOs) exist at a variety of frequencies up to c.30Hz. The anterior cingulate
- cortex is known to have multiple mechanisms for the generation of gamma rhythms associated with
- cognitive function and I will look at how these rhythms interact with cellular STOs to affect spike/
- phase relationships and perhaps code for sequences: The working hypothesis is that assemblies
- of cells receiving higher levels of excitation increase the drive to the kinetics responsible for STOs,
- ultimately leading to a spike phase-advance on each period of field gamma.
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- This work could uncover a substrate for the stable, computationally useful, temporal separation of
- concurrently active sensory representations.
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- Mikio Aoi
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- My work has been focused on two aspects of the analysis of neural rhythms. The first project, which I have been working on with Uri Eden, Mark Kramer, and Kyle Lepage, has focused on the spectral analysis of spike trains including coherence between signals when at least one of those signals is a spike train. I use point process theory to derive properties of point process spectra and the estimators, and try to understand how those properties may help or hinder our understanding of the underlying neural system. The second project is in collaboration with Timothy Gardner and Uri Eden in which we are investigating methods of multi-scale time-frequency analysis based on an object-based signal representation. This method will allow us to extract signal information using multiple times scales simultaneously. This method may help to construct sharper spectral representations than are currently possible and we believe this operation may help to understand the phenomenology of human auditory perception.
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- Justin Kinney
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- Recording of neuronal spiking activity in distributed brain circuits
- requires a scalable design for massively parallel recording of
- extracellular field potentials. We are inventing such a system and
- implementing a proof-of-concept instantiation. In this system,
- multi-electrode arrays are used, which minimize tissue damage and help
- with spike sorting, and time domain multiplexing of analog field
- potential acquisition reduces interconnect. Channel data is then
- relayed to a custom-designed terabyte capacity storage network via
- custom digital circuitry. The storage network is designed to enable
- neural data to be analyzed in flexible ways, including the evaluation
- of spike sorting methods.
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- On the technical side, I am solely responsible for the design and implementation of the ethernet network and high-speed data storage software. In addition, I provide leadership to the project by staying well-versed in all aspects of the system design and maintaining open lines of communication between all technology developers, as well as organizing and documenting the design of the system.
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- Jung Lee
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- Jung has been working with Kopell and Whittington on several modeling projects. The main one concerns the effects of top-down beta rhythms on attention; Jung showed that such signals resonate with cells in the deep cortical layers, producing gain control and more gamma rhythms in the superficial layers; a paper is almost complete. This work is highly relevant to work done by Miller on top-down attention, and further collaborations are planned. The work also has relevance to aspects of schizophrenia, and conversations are beginning with the group of Kevin Spencer. A second project concerns multiple inhibitory cell types in the rat auditory cortex. See Schizophrenia.
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- Kyle Lepage
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- Kyle has been one of the most active members of the data analyis group. In the past year, he has been involved in CRC related activity involving three main subjects and two more tertiary ones. One primary project was a collaboration with the Kramer, Eden and Desimone groups on spike-field association (statistical procedures used to infer relations between a rhythm in a time series, such as a local field potential recording, and the firing activity of single neuron. Mikio Aoi is also involved. There is now a preprint. A second major project is a collaboration with the Eichenbaum and Eden groups on cells that measure time. More technically, the project deals with the development of statistical procedures to separate the relative influence of covariates of interest such as time and rodent position upon neural activity. There are two papers and several popular press articles about this work. The third major project is a collaboration with the Kramer lab, also involving postdoc ShiNung Ching; it is motivated by techniques used in MEG and EEG experiments to find functionally connected networks, as in the Human Connectome. This work deals with principled estimation of the statistical connectivity between nodes in an evoked network. In this paradigm a stimulus is repeatedly applied to network nodes, one at a time, and evoked activity at nodes is used to infer a statistical relation between node activity. There is a preprint. A smaller project with the group of Shinn-Cunningham concerns MEG eigensource. In this work local bias in MEG source estimates is traded for decreased non-spatially local bias due to unavoidable inverse-problem source localization limitation. A final project, with Kramer, deals with removing bias in EEG measurements due to activity present on either an EEG reference electrode or present in a "re-referencing method"
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- Martin Luessi
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- Morteza Moazami
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- Morteza is a postdoc in the lab of Miller. He is interested in the functional circuitry for memory and context formation between and within the prefrontal cortex (PFC) and the medial temporal lobe (MTL). PFC neurons reflect the associative relations between stimuli, task instructions, behavioral responses, rewards, etc. Interestingly, MTL neurons show similar properties. Neurophysiological studies have been focused on either the MTL or PFC and the interaction between the MTL and PFC is still unclear. He will simultaneously record - with many electrodes- from the PFC and MTL areas while monkey perform a task that temporally separates neuronal information related to context, sample, and recall of the correct choice. He will investigate the modulation of oscillatory neuronal dynamics between and within the PFC and MTL, during different stage of the task. The second project of Morteza concerns the oscillatory neuronal dynamics of categorization in the PFC. Modulations of neuronal oscillations in the PFC with cognitive demands may regulate whether PFC neurons function as multitaskers. The data from these projects are essential to understanding central questions about the roles of rhythms in cognition, and will provide the basis for modeling efforts. In addition, Morteza helps to run the physiology working group.
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- Lara Rangel
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- Lara is a new postdoc in the lab of Eichebaum (BU). Her work was described above. She interacts frequently with members of the statistics and modeling groups (Eden, Kramer, Kopell). She also talks frequently with members of other CRC labs (Boyden lab, MIT : Annabelle Singer; Wilson lab, MIT : Greg Hale, Sage Chen, and Stuart Layton) to compare data, methodology, and analysis techniques. She is planning further interactions with Omar Ahmed of the Cash lab (MGH) on hippocampal oscillatory activity in humans, the Miller lab (MIT) on beta frequency oscillations, and the Jiamin Zhuo and Nick James of the Han lab (BU), on dentate gyrus function and beta rhythms, respectively. She has also interacted with Whittington at CRC events. She speaks frequently with postdocs Annabelle Singer, Justin Kinney, Omar Ahmed, and Kyle Lepage as well as graduate students Caroline Moore-Kochlacs, Greg Hale, and all the members of the Eichenbaum lab. Lara has already written a grant proposal based on this work: NIH F-32 Individual Postdoctoral Research Grant
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- Wei Tang
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- Wei studies large-scale networks in the resting human brain with data
- from non-invasive imaging techniques. Under the hypothesis that
- particular sets of brain regions interact with each other to maintain
- an active yet stable intrinsic state, the goal of her work is to
- uncover both the structure and dynamics of such intrinsic networks, in
- the hope that knowledge of the resting state will lead to further
- understanding of how neural electrophysiology gives rise to cognitive
- phenomena.
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- Her current project involves collaborations between several
- laboratories. With MEG data acquired by Stufflebeam’s group, Wei and
- Steve are looking at seed-based Granger-causality maps, assessing
- their spatiotemporal and spectral properties, to explore their
- relationship with the proposed default-mode hypothesis. They will
- later extend the analysis to task data from the same subjects and see
- how the networks change undergoing different cognitive processes.
- Meanwhile, supervised by Matti Hamalainen and Uri Eden, Wei interacts
- with Patrick Purdon’s group at the Martinos Center, developing a
- state-space model based approach to identify the full
- source-connectivity matrix of the MEG signal and monitor its change
- over time. Efforts are being made to advance the methodology dealing
- with high-dimensionality of the data and make the full-network
- tractable. The third collaboration is with Mark Kramer, aiming at
- finding plausible biophysical models that can explain the observed
- network properties. This is an open area of exploration and may serve
- further modeling studies on brain disease such as epilepsy. Results
- from these collaborations together may provide a comprehensive picture
- of how the brain works at different levels.
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- Sujith Vijayan
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- Sujith was a former student of Wilson, now working mostly with Cash and Kopell on aspects of the alpha rhythm and sleep. Details are above. He is the organizer of the Alpha Working Group.
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Postdoctoral Fellowship at the Martinos Center for Biomedical Imaging and the Psychiatric Neuroimaging Division of the Psychiatry Department at Massachusetts General Hospital, Charlestown, MA
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Project: Development of accelerated diffusion and functional MRI scans with real-time motion tracking for children with autism
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PI: Dara S. Manoach, Ph.D.
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Our team is developing several technical innovations that will significantly reduce the impact of head motion on fMRI and diffusion data. We are seeking a candidate to work with us to improve data analysis by making fMRI and diffusion analysis motion-aware using both the in-image data and the motion tracking data.
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The Research Fellow will be expected to:
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1) Assist with setting up the data acquisition to ensure that the protocols are well-designed for the analysis questions;
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2) Build motion-aware processing tools that work in concert with existing software packages to improve the analysis of fMRI and DWI data;
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3) Assist in the processing, interpretation and analysis of the results of both phantom and human studies; and
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4) Apply these methods to address clinical research questions in autism.
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Our ideal candidate has a PhD in Computer Science, Electrical Engineering, or related fields, and has experience in signal processing and numerical methods. Candidates with experience in image processing and time series analysis, or specifically in fMRI and diffusion data analysis will be preferred. This position requires strong programming skills, and the candidate is expected to have experience working in C++, scripting languages (e.g., Python), and rapid-prototyping languages for numerical algorithms (e.g., Matlab, Mathematica). Strong communication skills are essential, as the position involves working with an interdisciplinary team of scientists in both MRI physics/engineering and psychology/neuroscience in addition to research coordinators and MRI technologists. Background in cognitive neuroscience and an interest in clinical applications are advantageous. Training in clinical research will be provided.
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Position available immediately. Please send
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(a) CV,
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(b) statement of post-doctoral and career goals,
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(c) writing sample (e.g., a published manuscript), and
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(d) letters and/or contact information for three references to Dara Manoach at dara@nmr.mgh.harvard.edu.
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-Burke J, Desroches M, Barry AM, Kaper TJ, Kramer MA. A showcase of torus canards in neuronal bursters. J Math Neurosci. 2012 Feb 21;2(1):3
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-Carlén M, Meletis K, Siegle JH, Cardin JA, Futai K, Vierling-Claassen D, Rühlmann C, Jones SR, Deisseroth K, Sheng M, Moore CI, Tsai LH. A critical role for NMDA receptors in parvalbumin interneurons for gamma rhythm induction and behavior Mol Psychiatry. 2012 May;17(5):537-48. doi: 10.1038/mp.2011.31. Epub 2011 Apr 5
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-Chen Z, Purdon PL, Brown EN, Barbieri R. A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control. Front Physiol. 2012;3:4. Epub 2012 Feb 1
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-Chow BY, Han X, Boyden ES. Genetically encoded molecular tools for light-driven silencing of targeted neurons. Prog Brain Res. 2012;196:49-61
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-Chu CJ, Kramer MA, Pathmanathan J, Bianchi MT, Westover MB, Wizon L, Cash SS. Emergence of stable functional networks in long-term human electroencephalography. J Neurosci. 2012 Feb 22;32(8):2703-13
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-Desroches M, Burke J, Kaper TJ, Kramer MA. Canards of mixed type in a neural burster, Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Feb;85(2 Pt 1):021920. Epub 2012 Feb 23
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-Han X. Optogenetics in the nonhuman primate. Prog Brain Res. 2012;196:215-33
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-Kim KM, Baratta MV, Yang A, Lee D, Boyden ES, Fiorillo CD. Optogenetic mimicry of the transient activation of dopamine neurons by natural reward is sufficient for operant reinforcement. PLoS One. 2012;7(4):e33612. Epub 2012 Apr 10
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-Kittelberger K, Hur EE, Sazegar S, Keshavan V, Kocsis B. Comparison of the effects of acute and chronic administration of ketamine on hippocampal oscillations: relevance for the NMDA receptor hypofunction model of schizophrenia. Brain Struct Funct. 2012 Apr;217(2):395-409. Epub 2011 Oct 7
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-Kocsis B. Differential Role of NR2A and NR2B Subunits in N-Methyl-D-Aspartate Receptor Antagonist-Induced Aberrant Cortical Gamma Oscillations. Biol Psychiatry. 2012 Jun 1;71(11):987-95. Epub 2011 Nov 4
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-Kocsis B. State dependent increase of cortical gamma activity during REM sleep after selective blockade of NR2B subunit containing NMDA receptors. Sleep
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-Kramer MA, Cash SS. Epilepsy as a Disorder of Cortical Network Organization, Neuroscientist. 2012 Jan 10. [Epub ahead of print]
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-Larson E, Maddox RK, Perrone BP, Sen K, Billimoria CP. Neuron-specific stimulus masking reveals interference in spike timing at the cortical level. J Assoc Res Otolaryngol. 2012 Feb;13(1):119-29. Epub 2011 Nov 29
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-Lepage KQ, Macdonald CJ, Eichenbaum H, Eden UT. The statistical analysis of partially confounded covariates important to neural spiking. J Neurosci Methods. 2012 Apr 15;205(2):295-304. Epub 2012 Jan 17
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-Maddox RK, Billimoria CP, Perrone BP, Shinn-Cunningham BG, Sen K. Competing sound sources reveal spatial effects in cortical processing. PLoS Biol. 2012 May;10(5):e1001319. Epub 2012 May 1
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-Madisen L, Mao T, Koch H, Zhuo JM, Berenyi A, Fujisawa S, Hsu YW, Garcia AJ 3rd, Gu X, Zanella S, Kidney J, Gu H, Mao Y, Hooks BM, Boyden ES, Buzs�¡ki G, Ramirez JM, Jones AR, Svoboda K, Han X, Turner EE, Zeng H. A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nat Neurosci. 2012 Mar 25;15(5):793-802. doi: 10.1038/nn.3078
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-Malerba P, Kopell N. Phase resetting reduces theta-gamma rhythmic interaction to a one-dimensional map. J Math Biol. 2012 Apr 21. [Epub ahead of print]
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-McCarthy MM, Ching S, Whittington MA, Kopell N, Dynamical changes in neurological diseases and anesthesia, Curr Opin Neurobiol. 2012 Mar 23. [Epub ahead of print]
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-
-Melzer S, Michael M, Caputi A, Eliava M, Fuchs EC, Whittington MA, Monyer H, Long-range-projecting GABAergic neurons modulate inhibition in hippocampus and entorhinal cortex, Science. 2012 Mar 23;335(6075):1506-10
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-Munro E, Kopell N, Subthreshold somatic voltage in neocortical pyramidal cells can control whether spikes propagate from the axonal plexus to axon terminals: a model study, J Neurophysiol. 2012 May;107(10):2833-52. Epub 2012 Feb 29
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-Peyrache A, Dehghani N, Eskandar EN, Madsen JR, Anderson WS, Donoghue JA, Hochberg LR, Halgren E, Cash SS, Destexhe A. Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep. Proc Natl Acad Sci U S A. 2012 Jan 31;109(5):1731-6. Epub 2012 Jan 17
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-Puig MV, Miller EK. The role of prefrontal dopamine d1 receptors in the neural mechanisms of associative learning. Neuron. 2012 Jun 7;74(5):874-86
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-Siok CJ, Cogan SM, Shifflett LB, Doran AC, Kocsis B, Hajós M. Comparative analysis of the neurophysiological profile of group II metabotropic glutamate receptor activators and diazepam: effects on hippocampal and cortical EEG patterns in rats. Neuropharmacology. 2012 Jan;62(1):226-36. Epub 2011 Jul 26
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-Temereanca S, Hämäläinen MS, Kuperberg GR, Stufflebeam SM, Halgren E, Brown EN, Eye movements modulate the spatiotemporal dynamics of word processing J Neurosci. 2012 Mar 28;32(13):4482-94
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2011
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-Ahveninen J, Hämäläinen M, Jääskeläinen IP, Ahlfors SP, Huang S, Lin FH, Raij T, Sams M, Vasios CE, Belliveau JW. Attention-driven auditory cortex short-term plasticity helps segregate relevant sounds from noise. Proc Natl Acad Sci U S A. 2011 Mar 8;108(10):4182-7. Epub 2011 Feb 22.
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-Ainsworth M, Lee S, Cunningham MO, Roopun AK, Traub RD, Kopell NJ, Whittington MA, Dual γ rhythm generators control interlaminar synchrony in auditory cortex. J Neurosci. 2011 Nov 23;31(47):17040-51. Erratum in: J Neurosci. 2012 Feb 22;32(8):2911
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-Antzoulatos EG, Miller EK. Differences between neural activity in prefrontal cortex and striatum during learning of novel abstract categories. Neuron. 2011 Jul 28;71(2):243-9
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-Barkat TR, Polley DB, Hensch TK. A critical period for auditory thalamocortical connectivity, Nat Neurosci. 2011 Jul 31;14(9):1189-94. doi: 10.1038/nn.2882
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-Barnes TD, Mao JB, Hu D, Kubota Y, Dreyer AA, Stamoulis C, Brown EN, Graybiel AM, Advance cueing produces enhanced action-boundary patterns of spike activity in the sensorimotor striatum . J Neurophysiol. 2011 Apr;105(4):1861-78. Epub 2011 Feb 9
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-Brown EN, Purdon PL, and Van Dort CJ (2011) "General Anesthesia and Altered States of Arousal: A Systems Neuroscience Analysis", Annu Rev Neurosci. 2011 Apr 20. [Epub ahead of print]
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-Buffalo EA, Fries P, Landman R, Buschman TJ, Desimone R. Laminar differences in gamma and alpha coherence in the ventral stream. Proc Natl Acad Sci U S A. 2011 Jul 5;108(27):11262-7. Epub 2011 Jun 20
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-Buschman TJ, Siegel M, Roy JE, Miller EK. Neural substrates of cognitive capacity limitations
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-Chu-Shore CJ., Kramer MA, Bianchi MT, Caviness VS, Cash SS (2011) "Network Analysis: Applications for the Developing Brain" J. Child Neurology, Apr; 26(2): 488-500
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-Cimenser A, Purdon PL, Pierce ET, Walsh JL, Salazar-Gomez AF, Harrell PG, Tavares-Stoeckel C, Habeeb K, and Brown (2011) "Tracking brain states under general anesthesia by using global coherence analysis", EN. Proc Natl Acad Sci U S A. 2011 May 24;108(21):8832-7. Epub 2011 May 9.
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-Cromer JA, Roy JE, Buschman TJ, Miller EK. Rapid association learning in the primate prefrontal cortex in the absence of behavioral reversals. J Cogn Neurosci. 2011 Jul;23(7):1823-8. Epub 2010 Jul 28
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-Eden UT, Amirnovin R, Eskandar EN. Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:757-60
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-Haas JS, Zavala B, Landisman CE. Activity-dependent long-term depression of electrical synapses. Science. 2011 Oct 21;334(6054):389-93
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-Han X, Chow BY, Zhou H, Klapoetke NC, Chuong A, Rajimehr R, Yang A, Baratta MV, Winkle J, Desimone R, Boyden ES. A high-light sensitivity optical neural silencer: development and application to optogenetic control of non-human primate cortex. Front Syst Neurosci. 2011;5:18. Epub 2011 Apr 13
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-Halassa MM, Siegle JH, Ritt JT, Ting JT, Feng G, Moore CI. Selective optical drive of thalamic reticular nucleus generates thalamic bursts and cortical spindles. Nat Neurosci. 2011 Jul 24;14(9):1118-20. doi: 10.1038/nn.2880
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-Howe MW, Atallah HE, McCool A, Gibson DJ, Graybiel AM. Habit learning is associated with major shifts in frequencies of oscillatory activity and synchronized spike firing in striatum. Proc Natl Acad Sci U S A. 2011 Oct 4;108(40):16801-6. Epub 2011 Sep 26
-Kahn I, Desai M, Knoblich U, Bernstein J, Henninger M, Graybiel AM, Boyden ES, Buckner RL, Moore CI. Characterization of the functional MRI response temporal linearity via optical control of neocortical pyramidal neurons. J Neurosci. 2011 Oct 19;31(42):15086-91
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-Kajikawa Y, Schroeder CE. How local is the local field potential. Neuron. 2011 Dec 8;72(5):847-58
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-primary somatosensory cortex", Brain research bulletin, doi:10.1016/j.brainresbull, 03.026
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-Kim T, McKenna JT, Brown RE, Winston S, Chen L, Bolortuya Y, Strecker RE, Kocsis B, Deisseroth K, McCarley RW, and Basheer R (2011) "Expression of channelrhodopsins in parvalbumin-positive basal forebrain neurons", Sleep 2011; 34:A14
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-Kramer MA, Eden UT, Lepage KQ, Kolaczyk ED, Bianchi MT, Cash SS. Emergence of persistent networks in long-term intracranial EEG recordings. J Neurosci. 2011 Nov 2;31(44):15757-67
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-Kveraga K., Ghuman AS, Kassam KS, Aminoff EA, Hämäläinen MS, Chaumon M, and Bar M (2011) "Early onset of neural synchronization in the contextual associations network", Proceedings of the National Academy of Sciences of the United States of America, 108(8), 3389-3394. doi:10.1073/pnas.1013760108
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-Lamus C, Hämäläinen MS, Temereanca S, Brown EN, Purdon PL. A spatiotemporal dynamic distributed solution to the MEG inverse problem Neuroimage. 2011 Nov 30. [Epub ahead of print]
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-Lepage KQ, Kramer MA, Eden UT. The dependence of spike field coherence on expected intensity. Neural Comput. 2011 Sep;23(9):2209-41. Epub 2011 Jun 14
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-Modeling the spatial reach of the LFP. Neuron. 2011 Dec 8;72(5):859-72
-
-
-Long CJ, Purdon PL, Temereanca S, Desai NU, Hämäläinen MS, Brown EN
-State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing. Ann Appl Stat. 2011 Jun 1;5(2B):1207-1228
-
-
-MacDonald CJ, Lepage KQ, Eden UT, Eichenbaum H. Hippocampal "time cells" bridge the gap in memory for discontiguous events. Neuron. 2011 Aug 25;71(4):737-49
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-
-McCarthy MM, Moore-Kochlacs C, Gu X, Boyden ES, Han X, Kopell N
-Striatal origin of the pathologic beta oscillations in Parkinson's disease
-Proc Natl Acad Sci U S A. 2011 Jul 12;108(28):11620-5. Epub 2011 Jun 22.
-
-
-Palva S, Kulashekhar S, Hämäläinen M, and Palva JM (2011) "Localization of Cortical Phase and Amplitude Dynamics during Visual Working Memory Encoding and Retention", The Journal of neuroscience: the official journal of the Society for Neuroscience, 31(13), 5013-5025. doi:10.1523/JNEUROSCI.5592-10.2011
-
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-Siegle JH, Carlen M, Meletis K, Tsai LH, Moore CI, Ritt J. Chronically implanted hyperdrive for cortical recording and optogenetic control in behaving mice. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7529-32
-
-
-Siegle JH, Moore CI. Cortical circuits: finding balance in the brain. Curr Biol. 2011 Dec 6;21(23):R956-7. Epub 2011 Dec 5
-
-
-Sorman E, Wang D, Hajos M, and Kocsis B (2011) "Control of hippocampal theta rhythm by serotonin: Role of 5-HT2c receptors", Neuropharmacology, 61:489-494, 2011.
-
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-Sternshein H, Agam Y, Sekuler R. EEG correlates of attentional load during multiple object tracking. PLoS One. 2011;6(7):e22660. Epub 2011 Jul 26
-
-
-Tort AB, Komorowski R, Kopell N, Eichenbaum H. A mechanism for the formation of hippocampal neuronal firing patterns that represent what happens where. Learn Mem. 2011 Oct 21;18(11):718-27. doi: 10.1101/lm.2307711. Print 2011
-
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-Truccolo W, Donoghue J, Hochberg LR, Eskandar E, Madsen JR, Anderson WS, Brown EN, Halgren E, Cash SS (2011) "Dynamics of Single Neurons in Human Focal Epilepsy" Nature Neuroscience. May; 14(5):635-41
-
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-Wan Q, Kerr C, Pritchett D, Hämäläinen M, Moore C, Jones S. Dynamics of dynamics within a single data acquisition session: variation in neocortical alpha oscillations in human MEG
-PLoS One. 2011;6(9):e24941. Epub 2011 Sep 22.
-
-
-Whittaker RG, Turnbull DM, Whittington MA, Cunningham MO. Impaired mitochondrial function abolishes gamma oscillations in the hippocampus through an effect on fast-spiking interneurons. Brain. 2011 Jul;134(Pt 7):e180; author reply e181. Epub 2011 Mar 4.
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-
-Whittington MA, Roopun AK, Traub RD, Davies CH. Circuits and brain rhythms in schizophrenia: a wealth of convergent targets. Curr Opin Pharmacol. 2011 Oct;11(5):508-14. Review
-
-
-Yoshida T and Katz DB, (2011) "Control of Prestimulus Activity Related to Improved Sensory Coding within a Discrimination Task", J Neuroscience, 31:4101-4112
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2010
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-Brown EN, Lydic R, and Schiff ND (2010) "General anesthesia, sleep, and coma", N Engl J Med. 2010 Dec 30;363(27):2638-50.
-
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-Cardin J, Carlen M, Meletis K, Knoblich U, Zhang F, Desseroth K, Tsai L-H, Moore CI (2010) "Targeted Optogenetic Stimulation and Recording of Neurons in vivo Using Cell Type-Specific Expression of Channelrhodopsin-2", Nature Protocols. 5:247-254.
-
-
-Ching S, Cimenser A, Purdon PL, Brown EN, and Kopell NJ (2010) "Thalamocortical model for a propofol-induced alpha-rhythm associated with loss of consciousness", Proc Natl Acad Sci U S A. 2010 Dec 28;107(52):22665-70. Epub 2010 Dec 13.
-
-
-Ciesielski KT, Ahlfors SP, Bedrick EJ, Kerwin AA, Hämäläinen MS (2010) "Top-down control of MEG alpha-band activity in children performing Categorical N-Back Task", 2010 Oct;48(12):3573-9. Epub 2010 Aug 14
-
-
-Csercsa R, Dombovári B, Fabó D, Wittner L, Eross L, Entz L, Sólyom A, Rásonyi G, Szucs A, Kelemen A, Jakus R, Juhos V, Grand L, Magony A, Halász P, Freund TF, Maglóczky Z, Cash SS, Papp L, Karmos G, Halgren E, Ulbert I., "Laminar analysis of slow wave activity in humans." Brain. 133(9):2814-2829 (2010).
-
-
-Dehghani N, Cash SS, Rossetti A, Chen CC, Halgren E (2010) "Magnetoencephalography Demonstrates Multiple Asynchronous Generators of Human Sleep Spindles", J Neurophysiol., 104(1):179-88
-
-
-Dehghani N, Cash SS, Chen CC, Hagler DJ Jr, Huang M, Dale AM, Halgren E., "Divergent cortical generators of MEG and EEG during human sleep spindles suggested by distributed source modeling," PLoS One. 2010 Jul 7;5(7):
-
-
-Dehghani N, Bédard C, Cash SS, Halgren E, Destexhe A., (2010) "Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media: EEG and MEG power spectra. J Comput Neurosci, epub Jun 17 (2010), ahead of print
-
-
-Dehghani N, Cash SS, Halgren E, "Topographical frequency dynamics within EEG and MEG sleep spindles" Clinical Neurophys. 122:229-235
-
-
-Huang J and Sekuler R (2010) "Attention protects the fidelity of visual
-memory: Behavioral and electrophysiological evidence",.Journal of
-Neuroscience", 30 13461-13471
-
-
-Jones S, Kerr C, Wan Q, Pritchett D, Hamalainen M, Moore CI (2010) "Cued Spatial Attention Drives Functionally-Relevant Modulation of the Mu Rhythm in Primary Somatosensory Cortex", Journal of Neuroscience, Oct 13;30(41):13760-5
-
-
-Jones SR, Kerr CE, Wan Q Pritchett DL, Hämäläinen MS, and Moore CI (2010) "Cued Spatial Attention Drives Representation-Specific Modulation of The Alpha Rhythm in Primary Somatosensory Cortex", J. Neurosci. 2010 30(41):13760-5.
-
-
-Keller K., Truccolo W., Gale J., Eskandar E., Thesen T., Carlson C., Devinsky O., Kuzniecky R., Doyle W., Madsen J., Schomer D., Mehta A., Brown E.N., Halgren E., Cash S.S., "Distinct Neuronal Firing Types During Interictal Epileptiform Discharges in the Human Cortex," Brain. Jun;133(Pt 6):1668-81. (2010).
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-
-Kocsis B, and Kittelberger K (2010) "The effect of NMDA antagonism on hippocampal oscillations in freely moving rats", Relevance to schizophrenia, FENS 2010-01-31
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-Kopell N, Kramer MA, Malerba P, and Whittington MA (2010) "Are different rhythms good for different functions?", Front Hum Neurosci, 4:187
-
-
-Kramer MA, Eden UT, Kolaczyk ED, Zepeda R, Eskandar EN, and Cash SS, (2010) "Coalescence and Fragmentation of Cortical Networks During Focal Seizures," J. Neurosci. Jul 28; 30(30):10076-85
-
-
-Lanre-Amos T and Kocsis B (2010) "Hippocampal oscillations in the rodent model of schizophrenia induced by amygdala GABA receptor blockade", Frontiers in Psychiatry, 1:132, 2010
-
-
-Moore CI, Carlen M, Knoblich U, and Cardin J (2010) "Neocortical Interneurons: from Diversity, Strength", Cell, Jul 23;142(2):189 -93
-
-Tort ABL, Fontanini A, Kramer MA, Jones LM, Kopell N, Katz DB (2010) "Cortical networks produce three distinct 7-12 Hz rhythms during single sensory responses in the awake rat", The Journal of Neuroscience, 24 March 2010, 30:12
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-
-Tort ABL, Komorowsi R. Eichenbaum H, and, Kopell N (2010) "Measuring phase-amplitude coupling between neural oscillations", Journal of Neurophysiology 104:1195-210.
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-
-Vaina LM, Calabro F, Lin,FH, Hamalainen M (2010) "Long-range coupling of prefrontal cortex and visual (MT) or polysensory (STP) cortical areas in motion perception", Biomag 2010, pp. 197-201, Springer Verlag
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-Vierling-Claassen D, Cardin JA, Moore CI, Jones SR (2010) "Computational modeling of distinct neocortical oscillations driven by cell-type selective optogenetic drive: Separable resonant circuits controlled by low-threshold spiking and fast-spiking interneurons", Frontiers in Human Neuroscience, 2010 Nov 22, 4:198.
-
-
-Welbert P, Nguy L, Kocsis B (2010) "The effect of median raphe stimulation on the frequency and amplitude of hippocampal theta rhythm", FENS 2010-01-31
-
-
-Ziegler DA. Pritchett,DL, Hosseini-Varnamkhasti P, Corkin S, Hämäläinen M, Moore CI, and Jones SR (2010) "Transformations in oscillatory activity and evoked responses in primary somatosensory cortex in middle age: a combined computational neural modeling and MEG study", NeuroImage, 52(3), 897-912. doi:10.1016/j.neuroimage.2010.02.004
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2009
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-
-Feingold J, DePasquale BD, and Graybiel AM (2009) "Modulation of beta power in the prefrontal cortex and caudate nucleus of monkeys during self-timed sequential arm movements. Program No. 863.4. 2009, Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2009. Online.
-
-
-Ghitza, O. and Greenberg, S. (2009). "On the possible role of brain rhythms in speech
-perception: Intelligibility of time compressed speech with periodic and aperiodic
-insertions of silence." Phonetica 66:113–126. doi:10.1159/000208934
-
-
-Thorn CA and Graybiel AM (2009) "Projection neurons are entrained to different local field frequencies in dorsomedial and dorsolateral striatum", Program No. 567.9. 2009 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2009. Online.
-
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-
Book Chapters
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-
-Jones SR. "Biophysically Principled Computational Neural Network Modeling of Magneto-/Electro- Encephalography Measured Human Brain Oscillations". In: Springer Neuromethods textbook series (#67) Neuronal Network Analysis; Editors: T. Fellin and M. Hallasa. 2011
-
-
-
-Miller, E.K. and Buschman, T.J. (in press) Neural mechanisms for the executive control of attention. In: Oxford's Handbook of Attention, Kastner S. and Nobre, K. (eds). Oxford University Press.
-
-
-
-Miller, E.K. and Wallis, J.D. (in press) The prefrontal cortex and executive brain functions. In : Fundamental Neuroscience, 4th edition.
-
-
-
-Duncan, J. and Miller, E.K. (in press) Adaptive neural coding in frontal and parietal cortex. In: Stuss, D.T. and Knight, R.T. (Eds).
-Principles of Frontal Lobe Function: Second Edition.
-
-
-
-Miller,E.K. and Buschman, T.J. (2012) Top-Down Control of Attention by Rhythmic Neural Computations. In: Posner, M.I. (ed) Cognitive Neuroscience of Attention New York: Guilford Press.
-
+### Xiaoshi Shi
+Xiaoshi Shi
+Boston University
+CompNET and CRC
+Phone: 617.353.4587
+Fax: 617.353.4889
+Email: xiaoshi at bu.edu
+
+### Webmaster
+cogweb at math.bu.edu
diff --git a/courses/index.md b/courses/index.md
index e99b59d..d5374c6 100644
--- a/courses/index.md
+++ b/courses/index.md
@@ -1,32 +1,37 @@
---
-layout: default
+layout: subpage
title: "Courses"
---
-
Courses
-
Last update: 9 December 2011
-
-BU MA665: Introduction to Modeling and Data Analysis in Neuroscience. (Kramer). 2-credit course for intro neurosci students. Topics include: basic spike train analysis, basic computational models of spiking, the Hodgkin-Huxley model of spiking, an introduction to Fourier series, and an introduction to networks. Meets twice a week, with one lecture and one computer lab.
-
-BU MA666: Advanced Modeling and Data Analysis in Neuroscience. (Kramer). 2-credit course for more mathematically advanced neurosci students. Topics include introductions to: correlation and coherence analysis, cross frequency coupling, and bifurcations in model neurons. Meets twice a week, with one lecture and one computer lab.
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-BU MA 568 Statistical Analysis of Point Process Data. (Eden). Introduces the theory of point processes and develops practical problem-solving skills to construct models, assess goodness-of-fit, and perform estimation from point process data.
-
-HST.576 Topics in Neural Signal Processing (Brown). Focuses on signal processing methods for the analysis of stochastic dynamical systems in neuroscience. Includes state-space methods and dynamic Baysian methods applied to continuous and point process observations.
-
-HST.460 Statistics for Neuroscience Research, (Brown) A survey of statistical methods for neuroscience research. Core topics include introductions to the theory of point processes, the generalized linear model, Monte Carlo methods, Bayesian methods, multivariate methods, time-series analysis, spectral analysis and state-space modeling. This course was developed jointly with Eden and a version is being planned for BU. (Eden)
-
-HST.563 Imaging Biophysics and Applications (S. Stufflebeam, D. Boas). Introduction to the connections and distinctions among various imaging modalities (ultrasound, MRI, EEG, optical), common goals of biomedical imaging, broadly defined target of biomedical imaging, and the current practical and economic landscape of biomedical imaging research.
-
-MIT- MAS.881/20.452/9.422, (Boyden), Principles of Neuroengineering. Tools and methods for analyzing brain dynamics, which was attended by undergraduate and graduate students throughout the CRC network.
-
-MIT- MAS.883/9.455/20.454/15.128/HST.588 (Boyden) Neurotechnology
-Ventures. Special seminar on how to get neuroengineering innovations
-out into the world.
-
-Tufts Math 150 (Borgers) Mathematical Neuroscience. Introduction to modeling neurons and
-neuronal networks using differential equations. Hodgkin-Huxley equations; phase
-plane analysis and bifurcation theory applied to neuronal models; reduced
-models (integrate-and-fire neurons, theta neurons); modeling chemical and
-electrical synapses; synchronization, rhythms, and waves in neuronal networks.
-
+Last update: 9 December 2011
+
+## Boston University
+### MA665: Introduction to Modeling and Data Analysis in Neuroscience. (Kramer).
+2-credit course for intro neurosci students. Topics include: basic spike train analysis, basic computational models of spiking, the Hodgkin-Huxley model of spiking, an introduction to Fourier series, and an introduction to networks. Meets twice a week, with one lecture and one computer lab.
+
+### MA666: Advanced Modeling and Data Analysis in Neuroscience. (Kramer).
+2-credit course for more mathematically advanced neurosci students. Topics include introductions to: correlation and coherence analysis, cross frequency coupling, and bifurcations in model neurons. Meets twice a week, with one lecture and one computer lab.
+
+### MA 568 Statistical Analysis of Point Process Data. (Eden).
+Introduces the theory of point processes and develops practical problem-solving skills to construct models, assess goodness-of-fit, and perform estimation from point process data.
+
+## Brown
+### HST.576 Topics in Neural Signal Processing.
+Focuses on signal processing methods for the analysis of stochastic dynamical systems in neuroscience. Includes state-space methods and dynamic Baysian methods applied to continuous and point process observations.
+
+### HST.460 Statistics for Neuroscience Research.
+A survey of statistical methods for neuroscience research. Core topics include introductions to the theory of point processes, the generalized linear model, Monte Carlo methods, Bayesian methods, multivariate methods, time-series analysis, spectral analysis and state-space modeling. This course was developed jointly with Eden and a version is being planned for BU. (Eden)
+
+### HST.563 Imaging Biophysics and Applications (S. Stufflebeam, D. Boas).
+Introduction to the connections and distinctions among various imaging modalities (ultrasound, MRI, EEG, optical), common goals of biomedical imaging, broadly defined target of biomedical imaging, and the current practical and economic landscape of biomedical imaging research.
+
+## MIT
+### MAS.881/20.452/9.422, (Boyden), Principles of Neuroengineering.
+Tools and methods for analyzing brain dynamics, which was attended by undergraduate and graduate students throughout the CRC network.
+
+### MAS.883/9.455/20.454/15.128/HST.588 (Boyden) Neurotechnology Ventures.
+Special seminar on how to get neuroengineering innovations out into the world.
+
+## Tufts
+### Math 150 (Borgers) Mathematical Neuroscience.
+Introduction to modeling neurons and neuronal networks using differential equations. Hodgkin-Huxley equations; phase plane analysis and bifurcation theory applied to neuronal models; reduced models (integrate-and-fire neurons, theta neurons); modeling chemical and electrical synapses; synchronization, rhythms, and waves in neuronal networks.
diff --git a/people/faculty/index.md b/people/faculty/index.md
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title: "People - Faculty"
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+
####Click on a name to view or hide details. Last update: 10 December 2012
##Director
@@ -401,98 +402,3 @@ title: "People - Faculty"
Taken together, these approaches contribute to the overall research objective: to understand the link from cellular/subcellular mechanisms of plasticity, to neural ensemble representations and interactions, to learning, memory, behavior, and cognition.
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diff --git a/people/postdoc/index.md b/people/postdoc/index.md
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layout: subpage
title: "People - Postdocs"
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+
####Click on a name to view or hide details. Last update: 1 October 2012
Postdoctoral Fellowship at the Martinos Center for Biomedical Imaging and the Psychiatric Neuroimaging Division of the Psychiatry Department at Massachusetts General Hospital, Charlestown, MA
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Project: Development of accelerated diffusion and functional MRI scans with real-time motion tracking for children with autism
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PI: Dara S. Manoach, Ph.D.
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Our team is developing several technical innovations that will significantly reduce the impact of head motion on fMRI and diffusion data. We are seeking a candidate to work with us to improve data analysis by making fMRI and diffusion analysis motion-aware using both the in-image data and the motion tracking data.
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The Research Fellow will be expected to:
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1) Assist with setting up the data acquisition to ensure that the protocols are well-designed for the analysis questions;
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2) Build motion-aware processing tools that work in concert with existing software packages to improve the analysis of fMRI and DWI data;
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3) Assist in the processing, interpretation and analysis of the results of both phantom and human studies; and
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4) Apply these methods to address clinical research questions in autism.
-
-
-
Our ideal candidate has a PhD in Computer Science, Electrical Engineering, or related fields, and has experience in signal processing and numerical methods. Candidates with experience in image processing and time series analysis, or specifically in fMRI and diffusion data analysis will be preferred. This position requires strong programming skills, and the candidate is expected to have experience working in C++, scripting languages (e.g., Python), and rapid-prototyping languages for numerical algorithms (e.g., Matlab, Mathematica). Strong communication skills are essential, as the position involves working with an interdisciplinary team of scientists in both MRI physics/engineering and psychology/neuroscience in addition to research coordinators and MRI technologists. Background in cognitive neuroscience and an interest in clinical applications are advantageous. Training in clinical research will be provided.
-
-
Position available immediately. Please send
-
-
(a) CV,
-
(b) statement of post-doctoral and career goals,
-
(c) writing sample (e.g., a published manuscript), and
-
(d) letters and/or contact information for three references to Dara Manoach at dara@nmr.mgh.harvard.edu.
+
+### Postdoctoral Fellowship at the Martinos Center for Biomedical Imaging and the Psychiatric Neuroimaging Division of the Psychiatry Department at Massachusetts General Hospital, Charlestown, MA
+
+Project: Development of accelerated diffusion and functional MRI scans with real-time motion tracking for children with autism
+PI: Dara S. Manoach, Ph.D.
+[Manoach Lab](http://nmr.mgh.harvard.edu/manoachlab)
+
+Our team is developing several technical innovations that will significantly reduce the impact of head motion on fMRI and diffusion data. We are seeking a candidate to work with us to improve data analysis by making fMRI and diffusion analysis motion-aware using both the in-image data and the motion tracking data.
+
+The Research Fellow will be expected to:
+
+1. Assist with setting up the data acquisition to ensure that the protocols are well-designed for the analysis questions;
+2. Build motion-aware processing tools that work in concert with existing software packages to improve the analysis of fMRI and DWI data;
+3. Assist in the processing, interpretation and analysis of the results of both phantom and human studies; and
+4. Apply these methods to address clinical research questions in autism.
+
+Our ideal candidate has a PhD in Computer Science, Electrical Engineering, or related fields, and has experience in signal processing and numerical methods. Candidates with experience in image processing and time series analysis, or specifically in fMRI and diffusion data analysis will be preferred. This position requires strong programming skills, and the candidate is expected to have experience working in C++, scripting languages (e.g., Python), and rapid-prototyping languages for numerical algorithms (e.g., Matlab, Mathematica). Strong communication skills are essential, as the position involves working with an interdisciplinary team of scientists in both MRI physics/engineering and psychology/neuroscience in addition to research coordinators and MRI technologists. Background in cognitive neuroscience and an interest in clinical applications are advantageous. Training in clinical research will be provided.
+
+Position available immediately. Please send:
+
+* CV
+* statement of post-doctoral and career goals
+* writing sample (e.g., a published manuscript)
+* letters and/or contact information for three references
+
+to Dara Manoach at *dara at nmr.mgh.harvard.edu*.
diff --git a/research/papers/index.md b/research/papers/index.md
index 3da0e0f..f7671d4 100644
--- a/research/papers/index.md
+++ b/research/papers/index.md
@@ -1,8 +1,8 @@
---
-layout: default
+layout: subpage
title: "Research - Papers"
---
-
Research: Papers
+
Last updated: 1 October 2012
Published
2012
@@ -461,7 +461,4 @@ Talei Franzesi, G., Borgers, C., Qian, X., Li, M., Han, X., Kopell, N. J., Le Be
Vaina LM, Rana K, and Hämäläinen M (2011) "Cortical dynamics of perception and decision in sensory tasks: an MEG study", HBM 2011 abstract, to be published in NeuroImage:"
-
--->
-
diff --git a/research/topics/index.md b/research/topics/index.md
index 0dc424f..79f8d5b 100644
--- a/research/topics/index.md
+++ b/research/topics/index.md
@@ -1,8 +1,8 @@
---
-layout: default
+layout: subpage
title: "Research - Topics"
---
-
Research: Topics
+
Researchers are listed below each major research area