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A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields

Authors :
Eliott Robert Joseph Levy
Simón Carrillo-Segura
Eun Hye Park
William Thomas Redman
José Rafael Hurtado
SueYeon Chung
André Antonio Fenton
Source :
Cell Reports, Vol 42, Iss 10, Pp 113142- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: 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.

Details

Language :
English
ISSN :
22111247
Volume :
42
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Cell Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.43eb060bbeae4a7f9060f1161bf86ad5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.celrep.2023.113142