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Distinct neural mechanisms for heading retrieval and context recognition in the hippocampus during spatial reorientation.
Gagliardi, Celia M; Normandin, Marc E; Keinath, Alexandra T; Julian, Joshua B; Lopez, Matthew R; Ramos-Alvarez, Manuel-Miguel; Epstein, Russell A; Muzzio, Isabel A.
Afiliação
  • Gagliardi CM; Department of Neuroscience, Development, and Regenerative Biology, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249, USA.
  • Normandin ME; Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA 52245, USA.
  • Keinath AT; Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA 52245, USA.
  • Julian JB; Department of Psychiatry, Douglas Hospital Research Centre, McGill University, 6875 Boulevard LaSalle, Verdun, QC, H4H 1RS, Canada.
  • Lopez MR; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
  • Ramos-Alvarez MM; Department of Neuroscience, Development, and Regenerative Biology, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249, USA.
  • Epstein RA; Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA 52245, USA.
  • Muzzio IA; Psychology Department, University of Jaen, Campus Las Lagunillas, Jaen 23071, Spain.
Res Sq ; 2023 Mar 31.
Article em En | MEDLINE | ID: mdl-37034652
Reorientation, the process of regaining one's bearings after becoming lost, requires identification of a spatial context (context recognition) and recovery of heading direction within that context (heading retrieval). We previously showed that these processes rely on the use of features and geometry, respectively. Here, we examine reorientation behavior in a task that creates contextual ambiguity over a long timescale to demonstrate that mice learn to combine both featural and geometric cues to recover heading with experience. At the neural level, most CA1 neurons persistently align to geometry, and this alignment predicts heading behavior. However, a small subset of cells shows feature-sensitive place field remapping, which serves to predict context. Efficient heading retrieval and context recognition require integration of featural and geometric information in the active network through rate changes. These data illustrate how context recognition and heading retrieval are coded in CA1 and how these processes change with experience.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Res Sq Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Res Sq Ano de publicação: 2023 Tipo de documento: Article