Literature DB >> 12675444

Unstable attractors induce perpetual synchronization and desynchronization.

Marc Timme1, Fred Wolf, Theo Geisel.   

Abstract

Common experience suggests that attracting invariant sets in nonlinear dynamical systems are generally stable. Contrary to this intuition, we present a dynamical system, a network of pulse-coupled oscillators, in which unstable attractors arise naturally. From random initial conditions, groups of synchronized oscillators (clusters) are formed that send pulses alternately, resulting in a periodic dynamics of the network. Under the influence of arbitrarily weak noise, this synchronization is followed by a desynchronization of clusters, a phenomenon induced by attractors that are unstable. Perpetual synchronization and desynchronization lead to a switching among attractors. This is explained by the geometrical fact, that these unstable attractors are surrounded by basins of attraction of other attractors, whereas the full measure of their own basin is located remote from the attractor. Unstable attractors do not only exist in these systems, but moreover dominate the dynamics for large networks and a wide range of parameters.

Mesh:

Year:  2003        PMID: 12675444     DOI: 10.1063/1.1501274

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


  3 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.  Inferring synaptic connectivity from spatio-temporal spike patterns.

Authors:  Frank Van Bussel; Birgit Kriener; Marc Timme
Journal:  Front Comput Neurosci       Date:  2011-02-01       Impact factor: 2.380

3.  Stimulus-dependent synchronization in delayed-coupled neuronal networks.

Authors:  Zahra G Esfahani; Leonardo L Gollo; Alireza Valizadeh
Journal:  Sci Rep       Date:  2016-03-22       Impact factor: 4.379

  3 in total

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