Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.
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| Title: | Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. |
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| Authors: | Weinreb C; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Pearl JE; 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., Hoffmann 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, CA, USA., Linderman SW; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. scott.linderman@stanford.edu.; Department of Statistics, Stanford University, Stanford, CA, USA. scott.linderman@stanford.edu., Datta SR; Department of Neurobiology, Harvard Medical School, Boston, MA, USA. srdatta@hms.harvard.edu. |
| Source: | Nature methods [Nat Methods] 2024 Jul; Vol. 21 (7), pp. 1329-1339. Date of Electronic Publication: 2024 Jul 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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