Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations

Spiliotis, K; Siettos, C

dc.contributor.author	Spiliotis, K	en
dc.contributor.author	Siettos, C	en
dc.date.accessioned	2014-03-01T01:59:11Z
dc.date.available	2014-03-01T01:59:11Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28866
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/journals/corr/corr1010.html#abs-1010-5113	en
dc.relation.uri	http://arxiv.org/abs/1010.5113	en
dc.subject	Bifurcation Diagram	en
dc.subject	Coarse Grained	en
dc.subject	Complex Network	en
dc.subject	Large Scale	en
dc.subject	Model Reduction	en
dc.subject	Network Topology	en
dc.subject	Rare Event	en
dc.subject	Stability Analysis	en
dc.subject	Stochastic Model	en
dc.title	Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks: Bifurcation and Rare-events computations	en
heal.type	journalArticle	en
heal.publicationDate	2010	en
heal.abstract	We show how the Equation-Free approach for mutliscale computations can beexploited to extract, in a computational strict and systematic way the emergentdynamical attributes, from detailed large-scale microscopic stochastic models,of neurons that interact on complex networks. In particular we show how theEquation-Free approach can be exploited to perform system-level tasks such asbifurcation, stability analysis and estimation	en
heal.journalName	Computing Research Repository	en