Scott W Linderman, Ph.D.

Statistics Stanford University, Palo Alto, CA 
"Scott Linderman"
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Weinreb C, Pearl JE, Lin S, et al. (2024) Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Nature Methods. 21: 1329-1339
Vinograd A, Nair A, Linderman SW, et al. (2024) Intrinsic Dynamics and Neural Implementation of a Hypothalamic Line Attractor Encoding an Internal Behavioral State. Biorxiv : the Preprint Server For Biology
Weinreb C, Osman MAM, Zhang L, et al. (2023) Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Biorxiv : the Preprint Server For Biology
Markowitz JE, Gillis WF, Jay M, et al. (2023) Spontaneous behaviour is structured by reinforcement without explicit reward. Nature
Nair A, Karigo T, Yang B, et al. (2023) An approximate line attractor in the hypothalamus encodes an aggressive state. Cell. 186: 178-193.e15
Lin A, Witvliet D, Hernandez-Nunez L, et al. (2022) Imaging whole-brain activity to understand behavior. Nature Reviews. Physics. 4: 292-305
Beron CC, Neufeld SQ, Linderman SW, et al. (2022) Mice exhibit stochastic and efficient action switching during probabilistic decision making. Proceedings of the National Academy of Sciences of the United States of America. 119: e2113961119
Williams AH, Linderman SW. (2021) Statistical neuroscience in the single trial limit. Current Opinion in Neurobiology. 70: 193-205
Low IIC, Williams AH, Campbell MG, et al. (2021) Dynamic and reversible remapping of network representations in an unchanging environment. Neuron
Yu X, Creamer MS, Randi F, et al. (2021) Fast deep neural correspondence for tracking and identifying neurons in using semi-synthetic training. Elife. 10
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