Collective Activity Bursting in a Population of Excitable Units Adaptively Coupled to a Pool of Resources

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dc.citation.rankM21
dc.citation.volume2
dc.contributor.authorFranović, Igor
dc.contributor.authorEydam, Sebastian
dc.contributor.authorYanchuk, Serhiy
dc.contributor.authorBerner, Rico
dc.date.accessioned2023-05-08T13:08:19Z
dc.date.available2023-05-08T13:08:19Z
dc.date.issued2022-03-28
dc.description.abstractWe 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.
dc.identifier.doi10.3389/fnetp.2022.841829
dc.identifier.issn2674-0109
dc.identifier.urihttps://pub.ipb.ac.rs/handle/123456789/13
dc.language.isoen
dc.publisherFrontiers in Network Physiology
dc.relation.ispartofFrontiers in Network Physiology
dc.relation.ispartofabbrFront. Netw. Physiol.
dc.rightsopenAccess
dc.titleCollective Activity Bursting in a Population of Excitable Units Adaptively Coupled to a Pool of Resources
dc.typejournal-article
dc.type.versionpublishedVersion
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