Literature DB >> 22243002

Chaos in symmetric phase oscillator networks.

Christian Bick1, Marc Timme, Danilo Paulikat, Dirk Rathlev, Peter Ashwin.   

Abstract

Phase-coupled oscillators serve as paradigmatic models of networks of weakly interacting oscillatory units in physics and biology. The order parameter which quantifies synchronization so far has been found to be chaotic only in systems with inhomogeneities. Here we show that even symmetric systems of identical oscillators may not only exhibit chaotic dynamics, but also chaotically fluctuating order parameters. Our findings imply that neither inhomogeneities nor amplitude variations are necessary to obtain chaos; i.e., nonlinear interactions of phases give rise to the necessary instabilities.

Mesh:

Year:  2011        PMID: 22243002     DOI: 10.1103/PhysRevLett.107.244101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  8 in total

1.  Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

Authors:  Peter Ashwin; Stephen Coombes; Rachel Nicks
Journal:  J Math Neurosci       Date:  2016-01-06       Impact factor: 1.300

2.  Isotropy of Angular Frequencies and Weak Chimeras with Broken Symmetry.

Authors:  Christian Bick
Journal:  J Nonlinear Sci       Date:  2016-11-10       Impact factor: 3.621

3.  Optimal synchronization of directed complex networks.

Authors:  Per Sebastian Skardal; Dane Taylor; Jie Sun
Journal:  Chaos       Date:  2016-09       Impact factor: 3.642

4.  Structure-function discrepancy: inhomogeneity and delays in synchronized neural networks.

Authors:  Robert Ton; Gustavo Deco; Andreas Daffertshofer
Journal:  PLoS Comput Biol       Date:  2014-07-31       Impact factor: 4.475

5.  Multistable states in a system of coupled phase oscillators with inertia.

Authors:  Di Yuan; Fang Lin; Limei Wang; Danyang Liu; Junzhong Yang; Yi Xiao
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

6.  Predicting the effects of deep brain stimulation using a reduced coupled oscillator model.

Authors:  Gihan Weerasinghe; Benoit Duchet; Hayriye Cagnan; Peter Brown; Christian Bick; Rafal Bogacz
Journal:  PLoS Comput Biol       Date:  2019-08-08       Impact factor: 4.475

7.  State-dependent effective interactions in oscillator networks through coupling functions with dead zones.

Authors:  Peter Ashwin; Christian Bick; Camille Poignard
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

8.  Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning.

Authors:  Jürgen Eser; Pengsheng Zheng; Jochen Triesch
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

  8 in total

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