Evolving dynamical networks with transient cluster activity

We study transient sequential dynamics of evolving dynamical networks, i.e., those having active nodes and links and activity-dependent topology. We show that such networks can generate sequences of metastable cluster states where each state is a cyclic sequence of clusters following each other in a...

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Bibliographic Details
Published inCommunications in nonlinear science & numerical simulation Vol. 23; no. 1-3; pp. 10 - 16
Main Authors Maslennikov, Oleg V., Nekorkin, Vladimir I.
Format Journal Article
LanguageEnglish
Published 01.06.2015
Subjects
Clusters
Dynamic tests
Evolution
Initial conditions
Mathematical models
Networks
Perturbation methods
Sequences
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Summary:We study transient sequential dynamics of evolving dynamical networks, i.e., those having active nodes and links and activity-dependent topology. We show that such networks can generate sequences of metastable cluster states where each state is a cyclic sequence of clusters following each other in a certain order. We found the way how the sequences generated by such networks can be robust against background noise, small perturbations of initial conditions, and parameter detuning, and at the same time, can be sensitive to input information.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1007-5704
DOI:10.1016/j.cnsns.2014.11.019