Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.

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Bibliographic Details
Title: Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.
Authors: Weinreb C; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Pearl J; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Lin S; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Osman MAM; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Zhang L; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Annapragada S; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Conlin E; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Hoffman R; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Makowska S; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Gillis WF; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Jay M; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Ye S; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Mathis A; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Mathis MW; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Pereira T; Salk Institute for Biological Studies, La Jolla, USA., Linderman SW; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Datta SR; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Dec 23. Date of Electronic Publication: 2023 Dec 23.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2023.03.16.532307