Literature DB >> 23214668

Kuramoto model with time-varying parameters.

Spase Petkoski1, Aneta Stefanovska.   

Abstract

We analyze the Kuramoto model generalized by explicit consideration of deterministically time-varying parameters. The oscillators' natural frequencies and/or couplings are influenced by external forces with constant or distributed strengths. A dynamics of the collective rhythms is observed, consisting of the external system superimposed on the autonomous one, a characteristic feature of many thermodynamically open systems. This deterministic, stable, continuously time-dependent, collective behavior is fully described, and the external impact to the original system is defined in both the adiabatic and the nonadiabatic limits.

Mesh:

Year:  2012        PMID: 23214668     DOI: 10.1103/PhysRevE.86.046212

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


  9 in total

1.  Dynamics in hybrid complex systems of switches and oscillators.

Authors:  Dane Taylor; Elana J Fertig; Juan G Restrepo
Journal:  Chaos       Date:  2013-09       Impact factor: 3.642

2.  Rhythmic synchronization and hybrid collective states of globally coupled oscillators.

Authors:  Tian Qiu; Ivan Bonamassa; Stefano Boccaletti; Zonghua Liu; Shuguang Guan
Journal:  Sci Rep       Date:  2018-08-28       Impact factor: 4.379

3.  Low-dimensional behavior of Kuramoto model with inertia in complex networks.

Authors:  Peng Ji; Thomas K D M Peron; Francisco A Rodrigues; Jürgen Kurths
Journal:  Sci Rep       Date:  2014-05-02       Impact factor: 4.379

4.  Modeling Cell Energy Metabolism as Weighted Networks of Non-autonomous Oscillators.

Authors:  Joe Rowland Adams; Aneta Stefanovska
Journal:  Front Physiol       Date:  2021-01-28       Impact factor: 4.566

5.  Glassy states and super-relaxation in populations of coupled phase oscillators.

Authors:  D Iatsenko; P V E McClintock; A Stefanovska
Journal:  Nat Commun       Date:  2014-06-20       Impact factor: 14.919

6.  Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength.

Authors:  Xianfa Jiao; Wanyu Zhao; Jinde Cao
Journal:  Comput Math Methods Med       Date:  2015-11-10       Impact factor: 2.238

7.  Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience.

Authors:  Anna Letizia Allegra Mascaro; Egidio Falotico; Spase Petkoski; Maria Pasquini; Lorenzo Vannucci; Núria Tort-Colet; Emilia Conti; Francesco Resta; Cristina Spalletti; Shravan Tata Ramalingasetty; Axel von Arnim; Emanuele Formento; Emmanouil Angelidis; Camilla H Blixhavn; Trygve B Leergaard; Matteo Caleo; Alain Destexhe; Auke Ijspeert; Silvestro Micera; Cecilia Laschi; Viktor Jirsa; Marc-Oliver Gewaltig; Francesco S Pavone
Journal:  Front Syst Neurosci       Date:  2020-07-07

8.  Phase-lags in large scale brain synchronization: Methodological considerations and in-silico analysis.

Authors:  Spase Petkoski; J Matias Palva; Viktor K Jirsa
Journal:  PLoS Comput Biol       Date:  2018-07-10       Impact factor: 4.475

9.  Synchronization transitions caused by time-varying coupling functions.

Authors:  Zeray Hagos; Tomislav Stankovski; Julian Newman; Tiago Pereira; Peter V E McClintock; Aneta Stefanovska
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

  9 in total

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