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Christian Pozzorini edited this page Jan 14, 2016 · 23 revisions

The content of this web page is associated with the following publications:

Automated high-throughput characterization of single neurons by means of simplified spiking neuron models

C. Pozzorini*, S. Mensi*, O. Hagens, R. Naud, C. Koch and W. Gerstner

PLOS Computational Biology 2015

In paper introduces an experimental protocol and a set of computational tools to characterize the electrophysiological properties of neurons by fitting a Generalized Integrate-and-Fire (GIF) model to intracellular recordings.

Instructions on how to use the code can be found .


Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics in neocortical pyramidal neurons

S. Mensi, O. Hagens, W. Gerstner and C. Pozzorini

PLOS Computational Biology 2016

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