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dc.contributor.authorCampbell, Sue Ann
dc.contributor.authorWang, Zhen
dc.date.accessioned2017-11-16 17:24:51 (GMT)
dc.date.available2017-11-16 17:24:51 (GMT)
dc.date.issued2017-09-19
dc.identifier.urihttp://dx.doi.org/10.1016/j.physd.2017.09.004
dc.identifier.urihttp://hdl.handle.net/10012/12630
dc.descriptionThe final publication is available at Elsevier via http://dx.doi.org/10.1016/j.physd.2017.09.004 © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractWe consider a general model for a network of oscillators with time delayed coupling where the coupling matrix is circulant. We use the theory of weakly coupled oscillators to reduce the system of delay differential equations to a phase model where the time delay enters as a phase shift. We use the phase model to determine model independent existence and stability results for symmetric cluster solutions. Our results extend previous work to systems with time delay and a more general coupling matrix. We show that the presence of the time delay can lead to the coexistence of multiple stable clustering solutions. We apply our analytical results to a network of Morris Lecar neurons and compare these results with numerical continuation and simulation studies.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada [171089-2012]en
dc.language.isoenen
dc.publisherElsevieren
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectClustering Solutionsen
dc.subjectNeural Networken
dc.subjectOscillatorsen
dc.subjectStabilityen
dc.subjectTime Delayen
dc.titlePhase models and clustering in networks of oscillators with delayed couplingen
dc.typeArticleen
dcterms.bibliographicCitationCampbell, S. A., & Wang, Z. (2017). Phase models and clustering in networks of oscillators with delayed coupling. Physica D: Nonlinear Phenomena. https://doi.org/10.1016/j.physd.2017.09.004en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen
uws.typeOfResourceTexten
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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