Literature DB >> 21721782

Reconstructing phase dynamics of oscillator networks.

Björn Kralemann1, Arkady Pikovsky, Michael Rosenblum.   

Abstract

We generalize our recent approach to the reconstruction of phase dynamics of coupled oscillators from data [B. Kralemann et al., Phys. Rev. E 77, 066205 (2008)] to cover the case of small networks of coupled periodic units. Starting from a multivariate time series, we first reconstruct genuine phases and then obtain the coupling functions in terms of these phases. Partial norms of these coupling functions quantify directed coupling between oscillators. We illustrate the method by different network motifs for three coupled oscillators and for random networks of five and nine units. We also discuss nonlinear effects in coupling.

Year:  2011        PMID: 21721782     DOI: 10.1063/1.3597647

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


  13 in total

Review 1.  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

2.  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

3.  Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia.

Authors:  M Rosenblum; M Frühwirth; M Moser; A Pikovsky
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

4.  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

5.  Establishing Communication between Neuronal Populations through Competitive Entrainment.

Authors:  Mark Wildie; Murray Shanahan
Journal:  Front Comput Neurosci       Date:  2012-01-12       Impact factor: 2.380

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

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

7.  Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension.

Authors:  Valentina Ticcinelli; Tomislav Stankovski; Dmytro Iatsenko; Alan Bernjak; Adam E Bradbury; Andrew R Gallagher; Peter B M Clarkson; Peter V E McClintock; Aneta Stefanovska
Journal:  Front Physiol       Date:  2017-10-13       Impact factor: 4.566

8.  Neural Cross-Frequency Coupling Functions.

Authors:  Tomislav Stankovski; Valentina Ticcinelli; Peter V E McClintock; Aneta Stefanovska
Journal:  Front Syst Neurosci       Date:  2017-06-15

9.  Neural Synchronization from the Perspective of Non-linear Dynamics.

Authors:  Ramon Guevara Erra; Jose L Perez Velazquez; Michael Rosenblum
Journal:  Front Comput Neurosci       Date:  2017-10-26       Impact factor: 2.380

10.  A dynamical systems approach for estimating phase interactions between rhythms of different frequencies from experimental data.

Authors:  Takayuki Onojima; Takahiro Goto; Hiroaki Mizuhara; Toshio Aoyagi
Journal:  PLoS Comput Biol       Date:  2018-01-16       Impact factor: 4.475

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