Observational learning promotes hippocampal remote awake replay toward future reward locations.
Bayesian decoding
Observational learning
hippocampus
place cells
replay
spatial memory
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
02 03 2022
02 03 2022
Historique:
received:
22
06
2021
revised:
20
10
2021
accepted:
06
12
2021
pubmed:
30
12
2021
medline:
6
4
2022
entrez:
29
12
2021
Statut:
ppublish
Résumé
The neural circuit mechanisms underlying observational learning, learning through observing the behavior of others, are poorly understood. Hippocampal place cells are important for spatial learning, and awake replay of place cell patterns is involved in spatial decisions. Here we show that, in observer rats learning to run a maze by watching a demonstrator's spatial trajectories from a separate nearby observation box, place cell patterns during self-running in the maze are replayed remotely in the box. The contents of the remote awake replay preferentially target the maze's reward sites from both forward and reverse replay directions and reflect the observer's future correct trajectories in the maze. In contrast, under control conditions without a demonstrator, the remote replay is significantly reduced, and the preferences for reward sites and future trajectories disappear. Our results suggest that social observation directs the contents of remote awake replay to guide spatial decisions in observational learning.
Identifiants
pubmed: 34965381
pii: S0896-6273(21)01013-8
doi: 10.1016/j.neuron.2021.12.005
pmc: PMC8897267
mid: NIHMS1764670
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
891-902.e7Subventions
Organisme : NIA NIH HHS
ID : R01 AG074226
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH106552
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH112523
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.
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