Literature DB >> 11089114

Synchronization, diversity, and topology of networks of integrate and fire oscillators

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Abstract

We study synchronization dynamics of a population of pulse-coupled oscillators. In particular, we focus our attention on the interplay between topological disorder and synchronization features of networks. First, we analyze synchronization time T in random networks, and find a scaling law which relates T to network connectivity. Then, we compare synchronization time for several other topological configurations, characterized by a different degree of randomness. The analysis shows that regular lattices perform better than a disordered network. This fact can be understood by considering the variability in the number of links between two adjacent neighbors. This phenomenon is equivalent to having a nonrandom topology with a distribution of interactions and it can be removed by an adequate local normalization of the couplings.

Entities:  

Year:  2000        PMID: 11089114     DOI: 10.1103/physreve.62.5565

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN: 1063-651X


  5 in total

1.  Cascades on a stochastic pulse-coupled network.

Authors:  C M Wray; S R Bishop
Journal:  Sci Rep       Date:  2014-09-12       Impact factor: 4.379

2.  Synchronous slowing down in coupled logistic maps via random network topology.

Authors:  Sheng-Jun Wang; Ru-Hai Du; Tao Jin; Xing-Sen Wu; Shi-Xian Qu
Journal:  Sci Rep       Date:  2016-03-29       Impact factor: 4.379

3.  Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity.

Authors:  Kyra L Kadhim; Ann M Hermundstad; Kevin S Brown
Journal:  PLoS One       Date:  2021-08-11       Impact factor: 3.240

4.  Marginally subcritical dynamics explain enhanced stimulus discriminability under attention.

Authors:  Nergis Tomen; David Rotermund; Udo Ernst
Journal:  Front Syst Neurosci       Date:  2014-08-25

5.  Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators.

Authors:  Lia Papadopoulos; Jason Z Kim; Jürgen Kurths; Danielle S Bassett
Journal:  Chaos       Date:  2017-07       Impact factor: 3.642

  5 in total

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