Literature DB >> 20365621

Controlling synchrony by delay coupling in networks: from in-phase to splay and cluster states.

Chol-Ung Choe1, Thomas Dahms, Philipp Hövel, Eckehard Schöll.   

Abstract

We study synchronization in delay-coupled oscillator networks using a master stability function approach. Within a generic model of Stuart-Landau oscillators (normal form of supercritical or subcritical Hopf bifurcation), we derive analytical stability conditions and demonstrate that by tuning the coupling phase one can easily control the stability of synchronous periodic states. We propose the coupling phase as a crucial control parameter to switch between in-phase synchronization or desynchronization for general network topologies or between in-phase, cluster, or splay states in unidirectional rings. Our results are robust even for slightly nonidentical elements of the network.

Year:  2010        PMID: 20365621     DOI: 10.1103/PhysRevE.81.025205

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  Synchronization patterns: from network motifs to hierarchical networks.

Authors:  Sanjukta Krishnagopal; Judith Lehnert; Winnie Poel; Anna Zakharova; Eckehard Schöll
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-03-06       Impact factor: 4.226

2.  The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks.

Authors:  Isam Al-Darabsah; Liang Chen; Wilten Nicola; Sue Ann Campbell
Journal:  Front Syst Neurosci       Date:  2021-07-05

3.  A Local Counter-Regulatory Motif Modulates the Global Phase of Hormonal Oscillations.

Authors:  Dong-Ho Park; Taegeun Song; Danh-Tai Hoang; Jin Xu; Junghyo Jo
Journal:  Sci Rep       Date:  2017-05-09       Impact factor: 4.379

4.  Analyzing synchronized clusters in neuron networks.

Authors:  Matteo Lodi; Fabio Della Rossa; Francesco Sorrentino; Marco Storace
Journal:  Sci Rep       Date:  2020-10-01       Impact factor: 4.379

5.  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

  5 in total

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