Collective Activity Bursting in a Population of Excitable Units Adaptively Coupled to a Pool of Resources.
adaptive coupling
collective bursting
heterogeneous neural populations
local and collective excitability
metabolic resources
multiscale dynamics
multistability
switching dynamics
Journal
Frontiers in network physiology
ISSN: 2674-0109
Titre abrégé: Front Netw Physiol
Pays: Switzerland
ID NLM: 9918334487406676
Informations de publication
Date de publication:
2022
2022
Historique:
received:
22
12
2021
accepted:
16
02
2022
entrez:
17
3
2023
pubmed:
18
3
2023
medline:
18
3
2023
Statut:
epublish
Résumé
We study the collective dynamics in a population of excitable units (neurons) adaptively interacting with a pool of resources. The resource pool is influenced by the average activity of the population, whereas the feedback from the resources to the population is comprised of components acting homogeneously or inhomogeneously on individual units of the population. Moreover, the resource pool dynamics is assumed to be slow and has an oscillatory degree of freedom. We show that the feedback loop between the population and the resources can give rise to collective activity bursting in the population. To explain the mechanisms behind this emergent phenomenon, we combine the Ott-Antonsen reduction for the collective dynamics of the population and singular perturbation theory to obtain a reduced system describing the interaction between the population mean field and the resources.
Identifiants
pubmed: 36926089
doi: 10.3389/fnetp.2022.841829
pii: 841829
pmc: PMC10013072
doi:
Types de publication
Journal Article
Langues
eng
Pagination
841829Informations de copyright
Copyright © 2022 Franović, Eydam, Yanchuk and Berner.
Déclaration de conflit d'intérêts
The authors declare 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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