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Proceedings Paper

Numerical analysis of the chimera states in the multilayered network model
Author(s): Mikhail V. Goremyko; Vladimir A. Maksimenko; Vladimir V. Makarov; Dibakar Ghosh; Bidesh K. Bera; Syamal K. Dana; Alexander E. Hramov
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Paper 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

Paper Details

Date Published: 3 March 2017
PDF: 6 pages
Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 100631J (3 March 2017); doi: 10.1117/12.2251872
Show Author Affiliations
Mikhail V. Goremyko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Vladimir A. Maksimenko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Vladimir V. Makarov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Dibakar Ghosh, Indian Statistical Institute (India)
Bidesh K. Bera, Indian Statistical Institute (India)
Syamal K. Dana, CSIR-Indian Institute of Chemical Biology (India)
Alexander E. Hramov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10063:
Dynamics and Fluctuations in Biomedical Photonics XIV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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