Literature DB >> 19045496

Clustering behaviors in networks of integrate-and-fire oscillators.

Alexandre Mauroy1, Rodolphe Sepulchre.   

Abstract

Clustering behavior is studied in a model of integrate-and-fire oscillators with excitatory pulse coupling. When considering a population of identical oscillators, the main result is a proof of global convergence to a phase-locked clustered behavior. The robustness of this clustering behavior is then investigated in a population of nonidentical oscillators by studying the transition from total clustering to the absence of clustering as the group coherence decreases. A robust intermediate situation of partial clustering, characterized by few oscillators traveling among nearly phase-locked clusters, is of particular interest. The analysis complements earlier studies of synchronization in a closely related model. (c) 2008 American Institute of Physics.

Mesh:

Year:  2008        PMID: 19045496     DOI: 10.1063/1.2967806

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  4 in total

1.  Clustering in cell cycle dynamics with general response/signaling feedback.

Authors:  Todd R Young; Bastien Fernandez; Richard Buckalew; Gregory Moses; Erik M Boczko
Journal:  J Theor Biol       Date:  2011-10-08       Impact factor: 2.691

2.  Cell cycle dynamics: clustering is universal in negative feedback systems.

Authors:  Nathan Breitsch; Gregory Moses; Erik Boczko; Todd Young
Journal:  J Math Biol       Date:  2014-05-10       Impact factor: 2.259

3.  Stability of the splay state in networks of pulse-coupled neurons.

Authors:  Simona Olmi; Antonio Politi; Alessandro Torcini
Journal:  J Math Neurosci       Date:  2012-11-22       Impact factor: 1.300

4.  Cell cycle dynamics in a response/signalling feedback system with a gap.

Authors:  Xue Gong; Richard Buckalew; Todd Young; Erik Boczko
Journal:  J Biol Dyn       Date:  2014       Impact factor: 2.179

  4 in total

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