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Related Experiment Video

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Creating Avian Forebrain Chimeras to Assess Facial Development
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Blinking chimeras in globally coupled rotators.

Richard Janis Goldschmidt1, Arkady Pikovsky1, Antonio Politi2

  • 1Department of Physics and Astronomy, University of Potsdam, Potsdam 10623, Germany.

Chaos (Woodbury, N.Y.)
|August 3, 2019
PubMed
Summary
This summary is machine-generated.

Researchers observed a novel blinking chimera state in coupled oscillators. This state features a synchronized cluster that dissolves and rapidly reforms with a new configuration, revealing complex dynamics in oscillator networks.

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Area of Science:

  • Complex Systems
  • Nonlinear Dynamics
  • Network Science

Background:

  • Chimera states are symmetry-broken dynamics in coupled oscillator systems.
  • These states involve coexisting synchronized and desynchronized oscillator populations.
  • Previous research focused on stable chimera states in various oscillator networks.

Purpose of the Study:

  • To describe a novel 'blinking chimera' regime in globally coupled rotators.
  • To analyze the dissolution and reformation dynamics of synchronized clusters.
  • To characterize the different types of blinking events and their underlying mechanisms.

Main Methods:

  • Simulations of an ensemble of seven globally coupled Kuramoto oscillators with inertia.
  • Identification and classification of rare blinking events.
  • Application of stability analysis to chaotic and regular dynamical regimes.

Main Results:

  • Observed a blinking chimera regime characterized by a death-birth process of the synchronized cluster.
  • Identified three distinct types of rare blinking events.
  • Provided quantitative characterization of the long-lived chaotic state and short-lived regular regimes during cluster dissolution.

Conclusions:

  • The blinking chimera state represents a dynamic and transient form of symmetry breaking.
  • The observed death-birth process highlights the complex interplay between stability and instability in oscillator networks.
  • Stability analysis provides insights into the mechanisms driving cluster dissolution and reformation.