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2021-04-22Zeitschriftenartikel DOI: 10.3389/fncom.2021.663408
Emergence of Neuronal Synchronisation in Coupled Areas
dc.contributor.authorProtachevicz, Paulo R.
dc.contributor.authorHansen, Matheus
dc.contributor.authorIarosz, Kelly C.
dc.contributor.authorCaldas, Iberê L.
dc.contributor.authorBatista, Antonio M.
dc.contributor.authorKurths, Jürgen
dc.date.accessioned2021-07-08T12:27:48Z
dc.date.available2021-07-08T12:27:48Z
dc.date.issued2021-04-22none
dc.date.updated2021-05-06T06:52:51Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/23718
dc.description.abstractOne of the most fundamental questions in the field of neuroscience is the emergence of synchronous behaviour in the brain, such as phase, anti-phase, and shift-phase synchronisation. In this work, we investigate how the connectivity between brain areas can influence the phase angle and the neuronal synchronisation. To do this, we consider brain areas connected by means of excitatory and inhibitory synapses, in which the neuron dynamics is given by the adaptive exponential integrate-and-fire model. Our simulations suggest that excitatory and inhibitory connections from one area to another play a crucial role in the emergence of these types of synchronisation. Thus, in the case of unidirectional interaction, we observe that the phase angles of the neurons in the receiver area depend on the excitatory and inhibitory synapses which arrive from the sender area. Moreover, when the neurons in the sender area are synchronised, the phase angle variability of the receiver area can be reduced for some conductance values between the areas. For bidirectional interactions, we find that phase and anti-phase synchronisation can emerge due to excitatory and inhibitory connections. We also verify, for a strong inhibitory-to-excitatory interaction, the existence of silent neuronal activities, namely a large number of excitatory neurons that remain in silence for a long time.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectsynchronisationeng
dc.subjectexcitatory and inhibitory connectionseng
dc.subjectexponential adaptive integrate-and-fire modeleng
dc.subjectneuronal activitieseng
dc.subjectcoupled areaseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleEmergence of Neuronal Synchronisation in Coupled Areasnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/23718-9
dc.identifier.doi10.3389/fncom.2021.663408none
dc.identifier.doihttp://dx.doi.org/10.18452/23055
dc.type.versionpublishedVersionnone
local.edoc.container-titleFrontiers in computational neurosciencenone
local.edoc.pages12none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameFrontiers Research Foundationnone
local.edoc.container-publisher-placeLausannenone
local.edoc.container-volume15none
dc.description.versionPeer Reviewednone
local.edoc.container-articlenumber663408none
dc.identifier.eissn1662-5188
local.edoc.affiliationProtachevicz, Paulo R.; Applied Physics Department, Institute of Physics, University of São Paulo, São Paulo, Brazilnone
local.edoc.affiliationHansen, Matheus; Computer Science Department, Institute of Science and Technology, Federal University of São Paulo - UNIFESP, São José dos Campos, Brazilnone
local.edoc.affiliationIarosz, Kelly C.; Applied Physics Department, Institute of Physics, University of São Paulo, São Paulo, Brazil; Faculdade de Telêmaco Borba, Telêmaco Borba, Brazil; Graduate Program in Chemical Engineering, Federal University of Technology Paraná, Ponta Grossa, Brazilnone
local.edoc.affiliationCaldas, Iberê L.; Applied Physics Department, Institute of Physics, University of São Paulo, São Paulo, Brazilnone
local.edoc.affiliationBatista, Antonio M.; Applied Physics Department, Institute of Physics, University of São Paulo, São Paulo, Brazil; Department of Mathematics and Statistics, State University of Ponta Grossa, Ponta Grossa, Brazilnone
local.edoc.affiliationKurths, Jürgen; Department Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, Germany; Department of Physics, Humboldt University, Berlin, Germany; Centre for Analysis of Complex Systems, Sechenov First Moscow State Medical University, Moscow, Russianone

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