Literature DB >> 18643348

Phase dynamics of coupled oscillators reconstructed from data.

Björn Kralemann1, Laura Cimponeriu, Michael Rosenblum, Arkady Pikovsky, Ralf Mrowka.   

Abstract

We systematically develop a technique for reconstructing the phase dynamics equations for coupled oscillators from data. For autonomous oscillators and for two interacting oscillators we demonstrate how phase estimates obtained from general scalar observables can be transformed to genuine phases. This allows us to obtain an invariant description of the phase dynamics in terms of the genuine, observable-independent phases. We discuss the importance of this transformation for characterization of strength and directionality of interaction from bivariate data. Moreover, we demonstrate that natural (autonomous) frequencies of oscillators can be recovered if several observations of coupled systems at different, yet unknown coupling strengths are available. We illustrate our method by several numerical examples and apply it to a human electrocardiogram and to a physical experiment with coupled metronomes.

Entities:  

Year:  2008        PMID: 18643348     DOI: 10.1103/PhysRevE.77.066205

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


  40 in total

1.  GABA-mediated repulsive coupling between circadian clock neurons in the SCN encodes seasonal time.

Authors:  Jihwan Myung; Sungho Hong; Daniel DeWoskin; Erik De Schutter; Daniel B Forger; Toru Takumi
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-30       Impact factor: 11.205

Review 2.  Connectivity measures applied to human brain electrophysiological data.

Authors:  R E Greenblatt; M E Pflieger; A E Ossadtchi
Journal:  J Neurosci Methods       Date:  2012-03-16       Impact factor: 2.390

3.  Detecting couplings between interacting oscillators with time-varying basic frequencies: instantaneous wavelet bispectrum and information theoretic approach.

Authors:  Janez Jamsek; Milan Palus; Aneta Stefanovska
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-03-05

4.  Intra- and intersegmental influences among central pattern generating networks in the walking system of the stick insect.

Authors:  Charalampos Mantziaris; Till Bockemühl; Philip Holmes; Anke Borgmann; Silvia Daun; Ansgar Büschges
Journal:  J Neurophysiol       Date:  2017-07-19       Impact factor: 2.714

5.  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

6.  On the concept of dynamical reduction: the case of coupled oscillators.

Authors:  Yoshiki Kuramoto; Hiroya Nakao
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

7.  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

8.  Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals.

Authors:  Burak Erem; Ramon Martinez Orellana; Damon E Hyde; Jurriaan M Peters; Frank H Duffy; Petr Stovicek; Simon K Warfield; Rob S MacLeod; Gilead Tadmor; Dana H Brooks
Journal:  Phys Rev E       Date:  2016-04-29       Impact factor: 2.529

9.  Quantifying interactions between real oscillators with information theory and phase models: application to cardiorespiratory coupling.

Authors:  Yenan Zhu; Yee-Hsee Hsieh; Rishi R Dhingra; Thomas E Dick; Frank J Jacono; Roberto F Galán
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-13

10.  Characterization of cardiorespiratory phase synchronization and directionality in late premature and full term infants.

Authors:  Maristella Lucchini; Nicolò Pini; William P Fifer; Nina Burtchen; Maria G Signorini
Journal:  Physiol Meas       Date:  2018-06-19       Impact factor: 2.833

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