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- June 28, 2022.
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- Version 1 (June 13, 2022 - 14:43).
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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 4.0 International license.
Author Information
- Julia C. Costacurta1,2,†,
- Lea Duncker1,3,
- Blue Sheffer1,4,
- Winthrop Gillis5,
- Caleb Weinreb6,
- Jeffrey E. Markowitz7,
- Sandeep R. Datta6,
- Alex H. Williams8,9 and
- Scott W. Linderman1,10,†
- 1Wu Tsai Neurosciences Institute, Stanford, CA, USA
- 2Department of Electrical Engineering, Stanford, CA, USA
- 3Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
- 4Department of Computer Science, Stanford University, Stanford, CA, USA
- 5Program in Neuroscience, Harvard University, Boston, MA
- 6Department of Neurobiology, Harvard University, Boston, MA
- 7Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- 8Center for Neural Science, New York University, New York City, NY, USA
- 9Center for Computational Neuroscience, Flatiron Institute, New York City, NY, USA
- 10Department of Statistics, Stanford, CA, USA
- ↵†Correspondence should be addressed to: J.C.C. (jcostac{at}stanford.edu) or S.W.L. (scott.linderman{at}stanford.edu)
Posted June 28, 2022.
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs
