Phase relations of interneuronal activity relative to theta rhythm.
CA1 field
conductance-based refractory density approach
gradient descent
leaky integrate-and-fire (LIF) model
short-term plasticity
Journal
Frontiers in neural circuits
ISSN: 1662-5110
Titre abrégé: Front Neural Circuits
Pays: Switzerland
ID NLM: 101477940
Informations de publication
Date de publication:
2023
2023
Historique:
received:
01
04
2023
accepted:
20
06
2023
medline:
25
7
2023
pubmed:
24
7
2023
entrez:
24
7
2023
Statut:
epublish
Résumé
The theta rhythm plays a crucial role in synchronizing neural activity during attention and memory processes. However, the mechanisms behind the formation of neural activity during theta rhythm generation remain unknown. To address this, we propose a mathematical model that explains the distribution of interneurons in the CA1 field during the theta rhythm phase. Our model consists of a network of seven types of interneurons in the CA1 field that receive inputs from the CA3 field, entorhinal cortex, and local pyramidal neurons in the CA1 field. By adjusting the parameters of the connections in the model. We demonstrate that it is possible to replicate the experimentally observed phase relations between interneurons and the theta rhythm. Our model predicts that populations of interneurons receive unimodal excitation and inhibition with coinciding peaks, and that excitation dominates to determine the firing dynamics of interneurons.
Identifiants
pubmed: 37484208
doi: 10.3389/fncir.2023.1198573
pmc: PMC10358363
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1198573Informations de copyright
Copyright © 2023 Mysin.
Déclaration de conflit d'intérêts
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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