Literature DB >> 31675820

Hierarchical frequency clusters in adaptive networks of phase oscillators.

Rico Berner1, Jan Fialkowski1, Dmitry Kasatkin2, Vladimir Nekorkin2, Serhiy Yanchuk3, Eckehard Schöll1.   

Abstract

Adaptive dynamical networks appear in various real-word systems. One of the simplest phenomenological models for investigating basic properties of adaptive networks is the system of coupled phase oscillators with adaptive couplings. In this paper, we investigate the dynamics of this system. We extend recent results on the appearance of hierarchical frequency multiclusters by investigating the effect of the time scale separation. We show that the slow adaptation in comparison with the fast phase dynamics is necessary for the emergence of the multiclusters and their stability. Additionally, we study the role of double antipodal clusters, which appear to be unstable for all considered parameter values. We show that such states can be observed for a relatively long time, i.e., they are metastable. A geometrical explanation for such an effect is based on the emergence of a heteroclinic orbit.

Year:  2019        PMID: 31675820     DOI: 10.1063/1.5097835

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


  2 in total

1.  Blinking Networks of Memristor Oscillatory Circuits in the Flux-Charge Domain.

Authors:  Valentina Lanza; Jacopo Secco; Fernando Corinto
Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 4.677

2.  Frequency cluster formation and slow oscillations in neural populations with plasticity.

Authors:  Vera Röhr; Rico Berner; Ewandson L Lameu; Oleksandr V Popovych; Serhiy Yanchuk
Journal:  PLoS One       Date:  2019-11-14       Impact factor: 3.240

  2 in total

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