Numerical analysis of the chimera states in the multilayered network model

Mikhail V. Goremyko, Vladimir A. Maksimenko, Vladimir V. Makarov, Dibakar Ghosh, Bidesh K. Bera, Syamal K. Dana, Alexander E. Hramov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


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.

Original languageEnglish
Title of host publicationDynamics and Fluctuations in Biomedical Photonics XIV
EditorsKirill V. Larin, Martin J. Leahy, Valery V. Tuchin, Valery V. Tuchin, Ruikang K. Wang
ISBN (Electronic)9781510605671
StatePublished - 1 Jan 2017
Externally publishedYes
EventDynamics and Fluctuations in Biomedical Photonics XIV - San Francisco, United States
Duration: 29 Jan 201730 Jan 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceDynamics and Fluctuations in Biomedical Photonics XIV
Country/TerritoryUnited States
CitySan Francisco


  • Chimera state
  • Hindmarsh-Rose neuron system
  • multilayered network


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