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dc.creatorBurić, Nikola
dc.creatorRanković, Dragana
dc.creatorTodorović, Kristina
dc.creatorVasović, Nebojša
dc.date.accessioned2019-09-02T11:20:25Z
dc.date.available2019-09-02T11:20:25Z
dc.date.issued2010
dc.identifier.issn0378-4371
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/1344
dc.description.abstractMean field approximation of a large collection of FitzHugh-Nagumo excitable neurons with noise and all-to-all coupling with explicit time-delays, modelled by N >> 1 stochastic delay-differential equations is derived. The resulting approximation contains only two deterministic delay-differential equations but provides excellent predictions concerning the stability and bifurcations of the averaged global variables of the exact large system.en
dc.publisherElsevier Science BV, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/141003/RS//
dc.rightsrestrictedAccess
dc.sourcePhysica A-Statistical Mechanics and Its Applications
dc.subjectTime-delayen
dc.subjectStochastic excitable systemsen
dc.subjectMean-fielden
dc.titleMean field approximation for noisy delay coupled excitable neuronsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractВасовић, Небојша; Тодоровић, Кристина; Бурић, Никола; Ранковић, Драгана;
dc.citation.volume389
dc.citation.issue19
dc.citation.spage3956
dc.citation.epage3964
dc.citation.other389(19): 3956-3964
dc.citation.rankM22
dc.identifier.wos000280975700003
dc.identifier.doi10.1016/j.physa.2010.05.048
dc.identifier.scopus2-s2.0-77955554263
dc.identifier.rcubconv_2337
dc.type.versionpublishedVersion


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