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Micro to macro equation-free bifurcation analysis of neuronal random graphs: Symmetry breaking of majority rule dynamics

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dc.contributor.author Spiliotis, K en
dc.contributor.author Russo, L en
dc.contributor.author Siettos, CI en
dc.date.accessioned 2014-03-01T02:02:56Z
dc.date.available 2014-03-01T02:02:56Z
dc.date.issued 2011 en
dc.identifier.issn 19749791 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29329
dc.subject.other Bifurcation analysis en
dc.subject.other Bifurcation diagram en
dc.subject.other Closed form en
dc.subject.other Coarse-grained en
dc.subject.other Connectivity distribution en
dc.subject.other Equation-Free en
dc.subject.other Macro scale en
dc.subject.other Macroscopic dynamics en
dc.subject.other Macroscopic model en
dc.subject.other Majority rule en
dc.subject.other Majority rule models en
dc.subject.other Neuronal model en
dc.subject.other Random graphs en
dc.subject.other Small worlds en
dc.subject.other Switching probability en
dc.subject.other Symmetry-breaking en
dc.subject.other Graph theory en
dc.subject.other Probability distributions en
dc.subject.other Stochastic models en
dc.subject.other Bifurcation (mathematics) en
dc.title Micro to macro equation-free bifurcation analysis of neuronal random graphs: Symmetry breaking of majority rule dynamics en
heal.type journalArticle en
heal.identifier.primary 10.3303/CET1124059 en
heal.identifier.secondary http://dx.doi.org/10.3303/CET1124059 en
heal.publicationDate 2011 en
heal.abstract We address how the Equation-Free approach can be exploited to bridge in a computational rigorous way the micro to macro scales of the dynamics of stochastic individualistic neuronal models evolving on complex random graphs. In particular, we show how bifurcation analysis can be performed bypassing the need to extract macroscopic models in a closed form. The analysis targets on the majority rule model developing on Regular Random (RRN), Erdos-Renyi, and Watts-Strogatz (small-world) networks. We construct the coarse-grained bifurcation diagrams with respect to the switching probability and we show how the connectivity distribution may result to symmetry breaking of the underlying macroscopic dynamics. © 2011, AIDIC Servizi S.r.l. en
heal.journalName Chemical Engineering Transactions en
dc.identifier.doi 10.3303/CET1124059 en
dc.identifier.volume 24 en
dc.identifier.spage 349 en
dc.identifier.epage 354 en


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