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Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity

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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmentcac88170-d2e9-4c18-9311-3d01006b0c32
cris.virtualsource.orcidcac88170-d2e9-4c18-9311-3d01006b0c32
dc.contributor.authorLoxley, Peteren
dc.contributor.authorRobinson, P Aen
dc.date.accessioned2017-06-01T10:24:00Z
dc.date.issued2007
dc.description.abstractSpike-rate adaptation is investigated within a mean-field model of brain activity. Two different mechanisms of negative feedback are considered; one involving modulation of the mean firing threshold, and the other, modulation of the mean synaptic strength. Adaptation to a constant stimulus is shown to take place for both mechanisms, and limit-cycle oscillations in the firing rate corresponding to bursts of neuronal activity are investigated. These oscillations are found to result from a Hopf bifurcation when the equilibrium lies between the local maximum and local minimum of a given nullcline. Oscillations with amplitudes significantly below the maximum firing rate are found over a narrow range of possible equilibriums.en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevel#PLACEHOLDER_PARENT_METADATA_VALUE#en
dc.identifier.citationBiological Cybernetics, 97(2), p. 113-122en
dc.identifier.doi10.1007/s00422-007-0157-1en
dc.identifier.issn1432-0770en
dc.identifier.issn0340-1200en
dc.identifier.staffune-id:ploxleyen
dc.identifier.staff#PLACEHOLDER_PARENT_METADATA_VALUE#en
dc.identifier.urihttps://hdl.handle.net/1959.11/21192
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofBiological Cyberneticsen
dc.subject.keywordsBiological Mathematicsen
dc.subject.keywordsDynamical Systems in Applicationsen
dc.titleSpike-rate adaptation and neuronal bursting in a mean-field model of brain activityen
dc.typeJournal Articleen
dspace.entity.typePublication
local.contributor.firstnamePeteren
local.contributor.firstnameP Aen
local.contributor.lastnameLoxleyen
local.contributor.lastnameRobinsonen
local.description.statisticsepubsVisitors: 8<br />Views: 8<br />Downloads: 0en
local.format.endpage122en
local.format.startpage113en
local.identifier.epublicationsrecordune-chute-20170531-111301en
local.identifier.handlehttps://hdl.handle.net/1959.11/21192en
local.identifier.issue2en
local.identifier.scopusid34547600001en
local.identifier.unepublicationidune:21384en
local.identifier.volume97en
local.output.categoryC1en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.peerreviewedYesen
local.profile.emailploxley@une.edu.auen
local.profile.email#PLACEHOLDER_PARENT_METADATA_VALUE#en
local.profile.orcid0000-0003-3659-734Xen
local.profile.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.schoolSchool of Science and Technologyen
local.profile.school#PLACEHOLDER_PARENT_METADATA_VALUE#en
local.publisher.placeGermanyen
local.record.institutionUniversity of New Englanden
local.record.placeauen
local.search.authorLoxley, Peteren
local.search.authorRobinson, P Aen
local.subject.for2008010202 Biological Mathematicsen
local.subject.for2008010204 Dynamical Systems in Applicationsen
local.subject.seo2008970106 Expanding Knowledge in the Biological Sciencesen
local.subject.seo2008970101 Expanding Knowledge in the Mathematical Sciencesen
local.title.maintitleSpike-rate adaptation and neuronal bursting in a mean-field model of brain activityen
local.uneassociationUnknownen
local.year.published2007en
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