Emergence of a predictive model in the hippocampus.
context
hippocampus
inference
integration
latent state
learning
memory
prediction
retrieval
schema
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
21 06 2023
21 06 2023
Historique:
received:
08
09
2022
revised:
23
01
2023
accepted:
08
03
2023
pmc-release:
21
06
2024
medline:
26
6
2023
pubmed:
5
4
2023
entrez:
4
4
2023
Statut:
ppublish
Résumé
The brain organizes experiences into memories that guide future behavior. Hippocampal CA1 population activity is hypothesized to reflect predictive models that contain information about future events, but little is known about how they develop. We trained mice on a series of problems with or without a common statistical structure to observe how memories are formed and updated. Mice that learned structured problems integrated their experiences into a predictive model that contained the solutions to upcoming novel problems. Retrieving the model during learning improved discrimination accuracy and facilitated learning. Using calcium imaging to track CA1 activity during learning, we found that hippocampal ensemble activity became more stable as mice formed a predictive model. The hippocampal ensemble was reactivated during training and incorporated new activity patterns from each training problem. These results show how hippocampal activity supports building predictive models by organizing new information with respect to existing memories.
Identifiants
pubmed: 37015224
pii: S0896-6273(23)00207-6
doi: 10.1016/j.neuron.2023.03.011
pmc: PMC10293047
mid: NIHMS1883977
pii:
doi:
Substances chimiques
Calcium
SY7Q814VUP
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1952-1965.e5Subventions
Organisme : NIMH NIH HHS
ID : F31 MH120920
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH119421
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.
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