Numerical analysis of the chimera states in the multilayered network model

Document Type

Conference Article

Publication Title

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Abstract

We numerically study the interaction between the ensembles of the Hindmarsh-Rose (HR) neuron systems, arranged in the multilayer network model. We have shown that the fully identical layers, demonstrated individually different chimera due to the initial mismatch, come to the identical chimera state with the increase of inter-layer coupling. Within the multilayer model we also consider the case, when the one layer demonstrates chimera state, while another layer exhibits coherent or incoherent dynamics. It has been shown that the interactions chimera-coherent state and chimera-incoherent state leads to the both excitation of chimera as from the ensemble of fully coherent or incoherent oscillators, and suppression of initially stable chimera state.

DOI

10.1117/12.2251872

Publication Date

1-1-2017

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