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Review Article
Neuroscience
Open-source tools for behavioral video analysis: Setup, methods, and best practices
Kevin Luxem
Jennifer J Sun
Sean P Bradley
Keerthi Krishnan
Eric Yttri
Jan Zimmermann
Talmo D Pereira
Mark Laubach
Cellular Neuroscience, Leibniz Institute for Neurobiology, Germany
;
Department of Computing and Mathematical Sciences, California Institute of Technology, United States
;
Rodent Behavioral Core, National Institute of Mental Health, National Institutes of Health, United States
;
Department of Biochemistry and Cellular & Molecular Biology, University of Tennessee, United States
;
Department of Biological Sciences, Carnegie Mellon University, United States
;
Department of Neuroscience, University of Minnesota, United States
;
The Salk Institute of Biological Studies, United States
;
Department of Neuroscience, American University, United States
;
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Kevin Luxem
Jennifer J Sun
Sean P Bradley
Keerthi Krishnan
Eric Yttri
Jan Zimmermann
Talmo D Pereira
Mark Laubach
(2023)
Open-source tools for behavioral video analysis: Setup, methods, and best practices
eLife
12
:e79305.
https://doi.org/10.7554/eLife.79305
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This article was accepted for publication as part of eLife's original publishing model.
History
Version of Record published
March 23, 2023
Accepted
March 3, 2023
Received
April 7, 2022
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https://doi.org/10.7554/eLife.79305
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