View in EDS

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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36993589
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Weinreb+C%22">Weinreb C</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Pearl+J%22">Pearl J</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Lin+S%22">Lin S</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Osman+MAM%22">Osman MAM</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Annapragada+S%22">Annapragada S</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Conlin+E%22">Conlin E</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Hoffman+R%22">Hoffman R</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Makowska+S%22">Makowska S</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Gillis+WF%22">Gillis WF</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Jay+M%22">Jay M</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Ye+S%22">Ye S</searchLink>; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Mathis+A%22">Mathis A</searchLink>; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Mathis+MW%22">Mathis MW</searchLink>; Brain Mind and Neuro-X Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Pereira+T%22">Pereira T</searchLink>; Salk Institute for Biological Studies, La Jolla, USA.<br /><searchLink fieldCode="AU" term="%22Linderman+SW%22">Linderman SW</searchLink>; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Datta+SR%22">Datta SR</searchLink>; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2023 Dec 23. <i>Date of Electronic Publication: </i>2023 Dec 23.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Preprint; Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36993589
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1101/2023.03.16.532307
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Weinreb C
      – PersonEntity:
          Name:
            NameFull: Pearl J
      – PersonEntity:
          Name:
            NameFull: Lin S
      – PersonEntity:
          Name:
            NameFull: Osman MAM
      – PersonEntity:
          Name:
            NameFull: Zhang L
      – PersonEntity:
          Name:
            NameFull: Annapragada S
      – PersonEntity:
          Name:
            NameFull: Conlin E
      – PersonEntity:
          Name:
            NameFull: Hoffman R
      – PersonEntity:
          Name:
            NameFull: Makowska S
      – PersonEntity:
          Name:
            NameFull: Gillis WF
      – PersonEntity:
          Name:
            NameFull: Jay M
      – PersonEntity:
          Name:
            NameFull: Ye S
      – PersonEntity:
          Name:
            NameFull: Mathis A
      – PersonEntity:
          Name:
            NameFull: Mathis MW
      – PersonEntity:
          Name:
            NameFull: Pereira T
      – PersonEntity:
          Name:
            NameFull: Linderman SW
      – PersonEntity:
          Name:
            NameFull: Datta SR
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 12
              Text: 2023 Dec 23
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 2692-8205
          Titles:
            – TitleFull: BioRxiv : the preprint server for biology
              Type: main
ResultId 1