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- February 23, 2021.
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- Version 2 (May 6, 2021 - 20:43).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Matthew R Whiteway1,2,3,4,5,*,
- Dan Biderman1,2,3,4,5,
- Yoni Friedman1,7,
- Mario Dipoppa1,2,
- E. Kelly Buchanan1,2,3,4,5,
- Anqi Wu1,2,3,4,5,
- John Zhou6,
- Jean-Paul Noel8,
- The International Brain Laboratory,
- John Cunningham1,2,3,4,5 and
- Liam Paninski1,2,3,4,5
- 1Center for Theoretical Neuroscience, Columbia University, New York, USA
- 2Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, USA
- 3Grossman Center for the Statistics of Mind, Columbia University, New York, USA
- 4Department of Statistics, Columbia University, New York, USA
- 5Department of Neuroscience, Columbia University, New York, USA
- 6Department of Computer Science, Columbia University, New York, USA
- 7Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Boston, USA
- 8Center for Neural Science, New York University, New York, USA
- ↵*Correspondence: m.whiteway{at}columbia.edu
Posted February 23, 2021.
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
