Perpetual step-like restructuring of hippocampal circuit dynamics.

CP: Neuroscience change point detection place fields plasticity pre-existing assemblies quantal change remapping representational drift

Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
31 Aug 2024
Historique:
received: 07 02 2024
revised: 17 06 2024
accepted: 15 08 2024
medline: 1 9 2024
pubmed: 1 9 2024
entrez: 1 9 2024
Statut: aheadofprint

Résumé

Representation of the environment by hippocampal populations is known to drift even within a familiar environment, which could reflect gradual changes in single-cell activity or result from averaging across discrete switches of single neurons. Disambiguating these possibilities is crucial, as they each imply distinct mechanisms. Leveraging change point detection and model comparison, we find that CA1 population vectors decorrelate gradually within a session. In contrast, individual neurons exhibit predominantly step-like emergence and disappearance of place fields or sustained changes in within-field firing. The changes are not restricted to particular parts of the maze or trials and do not require apparent behavioral changes. The same place fields emerge, disappear, and reappear across days, suggesting that the hippocampus reuses pre-existing assemblies, rather than forming new fields de novo. Our results suggest an internally driven perpetual step-like reorganization of the neuronal assemblies.

Identifiants

pubmed: 39217613
pii: S2211-1247(24)01053-2
doi: 10.1016/j.celrep.2024.114702
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114702

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests G.B. is a member of the advisory board of Neuron.

Auteurs

Zheyang Sam Zheng (ZS)

Center for Neural Science, New York University, New York, NY, USA; Neuroscience Institute, NYU Grossman School of Medicine, New York University, New York, NY, USA.

Roman Huszár (R)

Center for Neural Science, New York University, New York, NY, USA; Neuroscience Institute, NYU Grossman School of Medicine, New York University, New York, NY, USA.

Thomas Hainmueller (T)

Department of Psychiatry, NYU Grossman School of Medicine, New York University, New York, NY, USA.

Marlene Bartos (M)

Institute for Physiology I, University of Freiburg Medical Faculty, 79104 Freiburg, Germany.

Alex H Williams (AH)

Center for Neural Science, New York University, New York, NY, USA; Neuroscience Institute, NYU Grossman School of Medicine, New York University, New York, NY, USA; Center for Computational Neuroscience, Flatiron Institute, New York, NY, USA. Electronic address: alex.h.williams@nyu.edu.

György Buzsáki (G)

Neuroscience Institute, NYU Grossman School of Medicine, New York University, New York, NY, USA; Department of Neurology, NYU Grossman School of Medicine, New York University, New York, NY, USA. Electronic address: gyorgy.buzsaki@nyulangone.org.

Classifications MeSH