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A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields.
Levy, Eliott Robert Joseph; Carrillo-Segura, Simón; Park, Eun Hye; Redman, William Thomas; Hurtado, José Rafael; Chung, SueYeon; Fenton, André Antonio.
Afiliación
  • Levy ERJ; Center for Neural Science, New York University, New York, NY 10003, USA.
  • Carrillo-Segura S; Center for Neural Science, New York University, New York, NY 10003, USA; Graduate Program in Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
  • Park EH; Center for Neural Science, New York University, New York, NY 10003, USA.
  • Redman WT; Interdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA 93106, USA.
  • Hurtado JR; Center for Neural Science, New York University, New York, NY 10003, USA.
  • Chung S; Center for Neural Science, New York University, New York, NY 10003, USA; Flatiron Institute Center for Computational Neuroscience, New York, NY 10010, USA.
  • Fenton AA; Center for Neural Science, New York University, New York, NY 10003, USA; Neuroscience Institute at the NYU Langone Medical Center, New York, NY 10016, USA. Electronic address: afenton@nyu.edu.
Cell Rep ; 42(10): 113142, 2023 10 31.
Article en En | MEDLINE | ID: mdl-37742193
ABSTRACT
Hippocampus place cell discharge is temporally unreliable across seconds and days, and place fields are multimodal, suggesting an "ensemble cofiring" spatial coding hypothesis with manifold dynamics that does not require reliable spatial tuning, in contrast to hypotheses based on place field (spatial tuning) stability. We imaged mouse CA1 (cornu ammonis 1) ensembles in two environments across three weeks to evaluate these coding hypotheses. While place fields "remap," being more distinct between than within environments, coactivity relationships generally change less. Decoding location and environment from 1-s ensemble location-specific activity is effective and improves with experience. Decoding environment from cell-pair coactivity relationships is also effective and improves with experience, even after removing place tuning. Discriminating environments from 1-s ensemble coactivity relies crucially on the cells with the most anti-coactive cell-pair relationships because activity is internally organized on a low-dimensional manifold of non-linear coactivity relationships that intermittently reregisters to environments according to the anti-cofiring subpopulation activity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Células de Lugar / Hipocampo Límite: Animals Idioma: En Revista: Cell Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Células de Lugar / Hipocampo Límite: Animals Idioma: En Revista: Cell Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos