Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs
J. C. Costacurta, L. Duncker, B. Sheffer, W. Gillis, C. Weinreb, J. E. Markowitz, S. R. Datta, A. H. Williams, S. W. Linderman
This paper introduces warped autoregressive HMMs (WARHMM) to better capture continuous behavioral variability in mice, improving segmentation accuracy and identifying response vigor.
bioRxiv · Jun 10, 2022 · PreprintAnimal Behavior & Cognition