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dc.contributor.authorDeVille, Lee
dc.contributor.authorZeng, Yi
dc.date.accessioned2014-12-29T21:51:34Z
dc.date.available2014-12-29T21:51:34Z
dc.date.issued2014-07
dc.date.submitted2013-10
dc.identifier.issn1536-0040
dc.identifier.urihttp://hdl.handle.net/1721.1/92542
dc.description.abstractWe consider a cascading model of excitable neural dynamics and show that over a wide variety of parameter regimes, these systems admit unique attractors. For large coupling strengths, this attractor is a limit cycle, and for small coupling strengths, it is a fixed point. We also show that the cascading model considered here is a mean-field limit of an existing stochastic model.en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowship Program (Grant 1122374)en_US
dc.language.isoen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1137/130943261en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSociety for Industrial and Applied Mathematicsen_US
dc.titleSynchrony and Periodicity in Excitable Neural Networks with Multiple Subpopulationsen_US
dc.typeArticleen_US
dc.identifier.citationDeVille, Lee, and Yi Zeng. “Synchrony and Periodicity in Excitable Neural Networks with Multiple Subpopulations.” SIAM J. Appl. Dyn. Syst. 13, no. 3 (January 2014): 1060–1081. © 2014, Society for Industrial and Applied Mathematicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorZeng, Yien_US
dc.relation.journalSIAM Journal on Applied Dynamical Systemsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDeVille, Lee; Zeng, Yien_US
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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