From cell types to population dynamics: Making hippocampal manifolds physiologically interpretable.
Journal
Current opinion in neurobiology
ISSN: 1873-6882
Titre abrégé: Curr Opin Neurobiol
Pays: England
ID NLM: 9111376
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
25
05
2023
revised:
27
09
2023
accepted:
28
09
2023
medline:
5
12
2023
pubmed:
29
10
2023
entrez:
28
10
2023
Statut:
ppublish
Résumé
The study of the hippocampal code is gaining momentum. While the physiological approach targets the contribution of individual cells as determined by genetic, biophysical and circuit factors, the field pushes for a population dynamic approach that considers the representation of behavioural variables by a large number of neurons. In this alternative framework, neuronal activity is projected into low-dimensional manifolds. These manifolds can reveal the structure of population representations, but their physiological interpretation is challenging. Here, we review the recent literature and propose that integrating information regarding behavioral traits, local field potential oscillations and cell-type-specificity into neural manifolds offers strategies to make them interpretable at the physiological level.
Identifiants
pubmed: 37898015
pii: S0959-4388(23)00125-3
doi: 10.1016/j.conb.2023.102800
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102800Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.