Chimera resonance in networks of chaotic maps
Copyright policy )Chimera resonance in networks of chaotic maps
We explore numerically the impact of additive Gaussian noise on the spatiotemporal dynamics of ring networks of nonlocally coupled chaotic maps. The local dynamics of network nodes is described by the logistic map, the Ricker map, and the Henon map. 2D distributions of the probability of observing chimera states are constructed in terms of the coupling strength and the noise intensity and for several choices of the local dynamics parameters. It is shown that the coupling strength range can be the widest at a certain optimum noise level at which chimera states are observed with a high probability for a large number of different realizations of randomly distributed initial conditions and noise sources. This phenomenon demonstrates a constructive role of noise in analogy with the effects of stochastic and coherence resonance and may be referred to as chimera resonance.
- Saratov State University Russian Federation
- Institute of Physics Russian Federation
- Bernstein Center for Computational Neuroscience Berlin Germany
- Technical University of Berlin Germany
- Leibniz Association Germany
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik, Numerical chaos, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Nonlinear Sciences - Chaotic Dynamics, 530, Nonlinear Sciences - Adaptation and Self-Organizing Systems, 510, chaotic maps, logistic map, ring networks, chimeras, Chaotic Dynamics (nlin.CD), Henon map, Adaptation and Self-Organizing Systems (nlin.AO)
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik, Numerical chaos, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Nonlinear Sciences - Chaotic Dynamics, 530, Nonlinear Sciences - Adaptation and Self-Organizing Systems, 510, chaotic maps, logistic map, ring networks, chimeras, Chaotic Dynamics (nlin.CD), Henon map, Adaptation and Self-Organizing Systems (nlin.AO)
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