template.bib

% prim-9:
%Jerome H. Friedman and Werner Stuetzle  "John W. Tukey's work on interactive % graphics", The Annals of Statistics, Vol. 30, No. 6, 1629–1639  (2002)
@Article{prim9,
  author = {Jerome H. Friedman and Werner Stuetzle},
	title = {{John W. Tukey}'s work on interactive graphics},
	journal = {The Annals of Statistics},
	year = {2002},
	volume = {30},
	OPTnumber = {6},
	OPTmonth = {},
	pages = {1626--1639},
	doi = {https://doi.org/10.1214/aos/1043351250},
    OPTgooglescholarid = {},
	note = {},
}

%Byrd79:
%J. S. Byrd "Microcomputers for nuclear instrumentation", Conference and Exhibits on Small Computers
%Session on Applications in Engineering and Science held May 23-24 1979, Clemson, US
% available at https://www.osti.gov/servlets/purl/6060192
@article{Byrd79,
    title = {Microcomputers for nuclear instrumentation},
    author = { J. S. Byrd},
    doi = {},
    note = {Available at https://www.osti.gov/biblio/6060192}, 
    journal = {presented at Conference and Exhibits on Small Computers, May 23-24 1979, Clemson, USA},
    number = {},
    volume = {},
    place = {Clemson, United States},
    year = {1979},
    month = {1},
}

%A. V. Reed "On choosing an inexpensive microcomputer for the experimental psychology laboratory", Behavior Research Methods \& Instrumentation 1980, Vol. 12 (6),607-613 DOI: 10.3758/BF03201852
@Article{Reed80,
    author = {A. V. Reed},
    title = {On choosing an inexpensive microcomputer for the experimental psychology laboratory},
	journal = {Behavior Research Methods \& Instrumentation},
	year = {1980},
	volume = {12},
	pages = {607--613},
	OPTnumber = {6},
	OPTmonth = {},
	OPTpages = {},
	doi = {10.3758/BF03201852},
    OPTgooglescholarid = {},
	note = {},
}

%matlab:
%Cleve Moler and Jack Little "A History of MATLAB", Proc. ACM Program. Lang. 4, HOPL, Article 81 (2020)
%DOI: 10.1145/3386331
@inproceedings{matlab,
  author = {Cleve Moler and Jack Little},
  title = {A History of {MATLAB}},
  year={2020},
  booktitle = {Proceedings of the ACM on Programming Languages},
  pages = {81.1--81.67},
  doi = {10.1145/3386331},
  volume={HOPL 4},
  publisher={ACM New York, NY, USA},
}

%labview:
% S. Josifovska "The father of LabView", IEE Review 49(9):30 - 33 (2003)
% DOI: 10.1049/ir:20030905
@Article{labview,
    author = {S. Josifovska},
    title = {The father of {LabView}},
	journal = {IEE Review},
	year = {2003},
	volume = {49},
	OPTnumber = {9},
	pages = {30--33},
	OPTmonth = {},
	OPTpages = {},
	doi = {10.1049/ir:20030905},
    OPTgooglescholarid = {},
	note = {},
}

%numpy:
%C. R. Harris, K. J. Millman, S. J. van der Walt, S.J. et al., "Array programming with NumPy".
%Nature 585, 357–362 (2020). 
%https://doi.org/10.1038/s41586-020-2649-2
@article{numpy2020,
	title = {Array programming with {NumPy}},
	volume = {585},
	doi = {10.1038/s41586-020-2649-2},
	number = {7825},
	journal = {Nature},
	author = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, Stéfan J. and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and van Kerkwijk, Marten H. and Brett, Matthew and Haldane, Allan and del Río, Jaime Fernández and Wiebe, Mark and Peterson, Pearu and Gérard-Marchant, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
	year = {2020},
	OPTmonth = sep,
	pages = {357--362},
}

@inproceedings{lam2015numba,
  title={Numba: A {LLVM}-based {Python} jit compiler},
  author={Lam, Siu Kwan and Pitrou, Antoine and Seibert, Stanley},
  booktitle={Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC},
  pages={1--6},
  year={2015}
}


%Koerner2019:
%L. J. Koerner, T. A. Caswell, D. B. Allan, S. I. Campbell, "A Python Instrument Control and Data Acquisition Suite for Reproducible Research" in IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 4, pp. 1698-1707 (2020) DOI: 10.1109/TIM.2019.2914711.
@Article{Koerner2019,
    author = {L. J. Koerner and T. A. Caswell and D. B. Allan and S. I. Campbell},
    title = {A {Python} Instrument Control and Data Acquisition Suite for Reproducible Research},
	journal = {IEEE Transactions on Instrumentation and Measurement},
	year = {2020},
	volume = {69},
	OPTnumber = {4},
	pages = {1698--1707},
	OPTmonth = {},
	doi = {10.1109/TIM.2019.2914711},
    OPTgooglescholarid = {},
	note = {},
}

%J. L. Johnson, H. tom Wörden and K. van Wijk, "PLACE: An Open-Source Python Package for Laboratory Automation, Control, and Experimentation", Journal of Laboratory Automation, Vol. 20(1) 10–16 (2015) DOI: 10.1177/2211068214553022
@Article{Johnson2015,
    author = {J. L. Johnson and H. tom Wörden and K. van Wijk},
    title = {{PLACE}: An Open-Source {Python} Package for Laboratory Automation, Control, and Experimentation},
    journal = {Journal of Laboratory Automation},
    volume = {20},
    OPTnumber = {1},
    pages = {10--16},
    year = {2015},
    doi = { 10.1177/2211068214553022 },
}

%M. Friendly, "A Brief History of Data Visualization" In: Handbook of Data Visualization. Springer Handbooks Comp.Statistics. Springer, Berlin, Heidelberg. (2008) DOI: 10.1007/978-3-540-33037-0\_2
@inProceeedings{Friendly2008,
    author = {M. Friendly},
    title = {A Brief History of Data Visualization},
    booktitle = {Handbook of Data Visualization},
    inseries = {Springer Handbooks Comp.Statistics},
    publisher = {Springer, Berlin, Heidelberg},
    year = {2008},
    doi = { DOI: 10.1007/978-3-540-33037-0\_2 },
}

%C Bozzi1 and S Roiser1, on behalf of the LHCb Collaboration, "The LHCb software and computing upgrade for Run 3: opportunities and challenges", IOP Conf. Series: Journal of Physics: Conf. Series 898 112002 (2017) DOI: 10.1088/1742-6596/898/10/112002
@inProceedings{LHC,
    author = {C Bozzi and S Roiser and {the LHCb Collaboration}},
    title = {The {LHCb} software and computing upgrade for Run 3: opportunities and challenges},
    booktitle = {IOP Conf. Series: Journal of Physics: Conf. Series},
    doi = {10.1088/1742-6596/898/10/112002},
    year = {2017},
}


@manual{Qt,
    key = {Qt},
    title = {Qt widget toolkit},
    note = {https://www.qt.io},
}

@manual{unsplash_license,
    key = {unsplash},
    organization = {Unsplash},
    title = {License information},
    note = {Available at https://unsplash.com/license},
}

@manual{QtGraphicsView,
    title = {QGraphicsView Class},
    organization = {Qt documentation},
    year = {2021},
    month = {March},
    url = {https://doc.qt.io/qt-5/qgraphicsview.html},
    note = {https://doc.qt.io/qt-5/qgraphicsview.html},
}

@manual{pg_examples,
    title = {Example Application},
    organization = {PyQtGraph},
    note = {Can be run after installation by \texttt{python -m pyqtgraph.examples}},
}

@manual{NEP-29,
    title   = {NEP 29 — Recommend {Python} and {NumPy} version support as a community policy standard},
    note = {Available at https://numpy.org/neps/nep-0029-deprecation\_policy.html},
    key = {NEP-29},
}

@article{JMLR:demsar13a,
  author  = {Janez Dem\v{s}ar and Toma\v{z} Curk and Ale\v{s} Erjavec and \v{C}rt Gorup and
  Toma\v{z} Ho\v{c}evar and Mitar Milutinovi\v{c} and Martin Mo\v{z}ina and Matija Polajnar and
  Marko Toplak and An\v{z}e Stari\v{c} and Miha \v{S}tajdohar and Lan Umek and
  Lan \v{Z}agar and Jure \v{Z}bontar and Marinka \v{Z}itnik and Bla\v{z} Zupan},
  title   = {Orange: Data Mining Toolbox in {Python}},
  journal = {Journal of Machine Learning Research},
  year    = {2013},
  volume  = {14},
  pages   = {2349-2353},
  url     = {http://jmlr.org/papers/v14/demsar13a.html}
}

@inproceedings{cupy_learningsys2017,
  author       = "Okuta, Ryosuke and Unno, Yuya and Nishino, Daisuke and Hido, Shohei and Loomis, Crissman",
  title        = "{CuPy}: A {NumPy}-Compatible Library for {NVIDIA} {GPU} Calculations",
  booktitle    = "Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)",
  year         = "2017",
  url          = "http://learningsys.org/nips17/assets/papers/paper_16.pdf"
}

@ARTICLE{10.3389/fninf.2014.00003,
  AUTHOR={Campagnola, Luke and Kratz, Megan and Manis, Paul},
  TITLE={ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research},
  JOURNAL={Frontiers in Neuroinformatics},
  VOLUME={8},
  PAGES={3},
  YEAR={2014},
  URL={https://www.frontiersin.org/article/10.3389/fninf.2014.00003},
  DOI={10.3389/fninf.2014.00003},
  ISSN={1662-5196},
  ABSTRACT={The complexity of modern neurophysiology experiments requires specialized software to coordinate multiple acquisition devices and analyze the collected data. We have developed ACQ4, an open-source software platform for performing data acquisition and analysis in experimental neurophysiology. This software integrates the tasks of acquiring, managing, and analyzing experimental data. ACQ4 has been used primarily for standard patch-clamp electrophysiology, laser scanning photostimulation, multiphoton microscopy, intrinsic imaging, and calcium imaging. The system is highly modular, which facilitates the addition of new devices and functionality. The modules included with ACQ4 provide for rapid construction of acquisition protocols, live video display, and customizable analysis tools. Position-aware data collection allows automated construction of image mosaics and registration of images with 3-dimensional anatomical atlases. ACQ4 uses free and open-source tools including Python, NumPy/SciPy for numerical computation, PyQt for the user interface, and PyQtGraph for scientific graphics. Supported hardware includes cameras, patch clamp amplifiers, scanning mirrors, lasers, shutters, Pockels cells, motorized stages, and more. ACQ4 is available for download at <ext-link ext-link-type="uri" xlink:href="http://www.acq4.org" xmlns:xlink="http://www.w3.org/1999/xlink">http://www.acq4.org</ext-link>.}
}