Function of local circuits in the hippocampal dentate gyrus-CA3 system.

CA3 Dentate gyrus Dentate spike Granule cell Hippocampus Inhibitory interneuron Mossy cell Mossy fiber Non-REM sleep Pattern completion Pattern separation Place field Pyramidal cell Theta oscillation

Journal

Neuroscience research
ISSN: 1872-8111
Titre abrégé: Neurosci Res
Pays: Ireland
ID NLM: 8500749

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 30 06 2018
revised: 27 09 2018
accepted: 15 10 2018
pubmed: 9 11 2018
medline: 29 3 2019
entrez: 9 11 2018
Statut: ppublish

Résumé

Anatomical observations, theoretical work and lesioning experiments have supported the idea that the CA3 in the hippocampus is important for encoding, storage and retrieval of memory while the dentate gyrus (DG) is important for the pattern separation of the incoming inputs from the entorhinal cortex. Study of the presumed function of the dentate gyrus in pattern separation has been hampered by the lack of reliable methods to identify different excitatory cell types in the DG. Recent papers have identified different cell types in the DG, in awake behaving animals, with more reliable methods. These studies have revealed each cell type's spatial representation as well as their involvement in pattern separation. Moreover, chronic electrophysiological recording from sleeping and waking animals also provided more insights into the operation of the DG-CA3 system for memory encoding and retrieval. This article will review the local circuit architectures and physiological properties of the DG-CA3 system and discuss how the local circuit in the DG-CA3 may function, incorporating recent physiological findings in the DG-CA3 system.

Identifiants

pubmed: 30408501
pii: S0168-0102(18)30628-X
doi: 10.1016/j.neures.2018.11.003
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-52

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Yuta Senzai (Y)

Department of Physiology, University of California San Francisco, United States. Electronic address: yuta.senzai@gmail.com.

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Classifications MeSH