Literature DB >> 22181239

Reconstruction of two-dimensional phase dynamics from experiments on coupled oscillators.

Karen A Blaha1, Arkady Pikovsky, Michael Rosenblum, Matthew T Clark, Craig G Rusin, John L Hudson.   

Abstract

Phase models are a powerful method to quantify the coupled dynamics of nonlinear oscillators from measured data. We use two phase modeling methods to quantify the dynamics of pairs of coupled electrochemical oscillators, based on the phases of the two oscillators independently and the phase difference, respectively. We discuss the benefits of the two-dimensional approach relative to the one-dimensional approach using phase difference. We quantify the dependence of the coupling functions on the coupling magnitude and coupling time delay. We show differences in synchronization predictions of the two models using a toy model. We show that the two-dimensional approach reveals behavior not detected by the one-dimensional model in a driven experimental oscillator. This approach is broadly applicable to quantify interactions between nonlinear oscillators, especially where intrinsic oscillator sensitivity and coupling evolve with time.

Year:  2011        PMID: 22181239     DOI: 10.1103/PhysRevE.84.046201

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


  6 in total

1.  A practical method for estimating coupling functions in complex dynamical systems.

Authors:  Isao T Tokuda; Zoran Levnajic; Kazuyoshi Ishimura
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

2.  Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators.

Authors:  Michael Sebek; Yoji Kawamura; Ashley M Nott; István Z Kiss
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

3.  Untangling complex dynamical systems via derivative-variable correlations.

Authors:  Zoran Levnajić; Arkady Pikovsky
Journal:  Sci Rep       Date:  2014-05-22       Impact factor: 4.379

4.  Reconstruction of noise-driven nonlinear networks from node outputs by using high-order correlations.

Authors:  Yang Chen; Zhaoyang Zhang; Tianyu Chen; Shihong Wang; Gang Hu
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

5.  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

6.  Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences.

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

  6 in total

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