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Chimera states in hybrid coupled neuron populations

dc.contributor.authorCalim, Ali
dc.contributor.authorTorres, Joaquín J.
dc.contributor.authorOzer, Mahmut
dc.contributor.authorUzuntarla, Muhammet
dc.date.accessioned2026-01-25T03:59:06Z
dc.date.issued2020-06-01
dc.description.abstractHere we study the emergence of chimera states, a recently reported phenomenon referring to the coexistence of synchronized and unsynchronized dynamical units, in a population of Morris-Lecar neurons which are coupled by both electrical and chemical synapses, constituting a hybrid synaptic architecture, as in actual brain connectivity. This scheme consists of a nonlocal network where the nearest neighbor neurons are coupled by electrical synapses, while the synapses from more distant neurons are of the chemical type. We demonstrate that peculiar dynamical behaviors, including chimera state and traveling wave, exist in such a hybrid coupled neural system, and analyze how the relative abundance of chemical and electrical synapses affects the features of chimera and different synchrony states (i.e. incoherent, traveling wave and coherent) and the regions in the space of relevant parameters for their emergence. Additionally, we show that, when the relative population of chemical synapses increases further, a new intriguing chaotic dynamical behavior appears above the region for chimera states. This is characterized by the coexistence of two distinct synchronized states with different amplitude, and an unsynchronized state, that we denote as a chaotic amplitude chimera. We also discuss about the computational implications of such state.
dc.description.abstract23 pages, 7 figures
dc.description.urihttps://doi.org/10.1016/j.neunet.2020.03.002
dc.description.urihttp://arxiv.org/pdf/2003.01854
dc.description.urihttps://dx.doi.org/10.48550/arxiv.2003.01854
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/32208304
dc.description.urihttp://arxiv.org/abs/2003.01854
dc.description.urihttp://hdl.handle.net/10481/70619
dc.description.urihttps://dx.doi.org/10.1016/j.neunet.2020.03.002
dc.description.urihttps://hdl.handle.net/20.500.12628/25515
dc.description.urihttps://aperta.ulakbim.gov.tr/record/3381
dc.identifier.doi10.1016/j.neunet.2020.03.002
dc.identifier.endpage117
dc.identifier.issn0893-6080
dc.identifier.openairedoi_dedup___::5c48db8dbea915d2e1755a11a3acc45d
dc.identifier.orcid0000-0002-3681-6787
dc.identifier.orcid0000-0001-6175-9676
dc.identifier.startpage108
dc.identifier.urihttps://hdl.handle.net/11527/44738
dc.identifier.volume126
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofNeural Networks
dc.rightsOPEN
dc.subjectclinical medicine
dc.subjectNeurons
dc.subjectmedical and health sciences
dc.subjectModels, Neurological
dc.subjectBrain
dc.subjectFOS: Physical sciences
dc.subjectDisordered Systems and Neural Networks (cond-mat.dis-nn)
dc.subjectCondensed Matter - Disordered Systems and Neural Networks
dc.subjectNonlinear Sciences - Chaotic Dynamics
dc.subjectNonlinear Sciences - Adaptation and Self-Organizing Systems
dc.subjectElectrical Synapses
dc.subjectConnectome
dc.subjectAnimals
dc.subjectHumans
dc.subjectChaotic Dynamics (nlin.CD)
dc.subjectAdaptation and Self-Organizing Systems (nlin.AO)
dc.subjectbasic medicine
dc.titleChimera states in hybrid coupled neuron populations
dc.typeArticle
dspace.entity.typePublication

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