Chimera patterns in three-dimensional locally coupled systems

Srilena Kundu, Bidesh K. Bera, Dibakar Ghosh, M. Lakshmanan

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The coexistence of coherent and incoherent domains, namely the appearance of chimera states, has been studied extensively in many contexts of science and technology since the past decade, though the previous studies are mostly built on the framework of one-dimensional and two-dimensional interaction topologies. Recently, the emergence of such fascinating phenomena has been studied in a three-dimensional (3D) grid formation while considering only the nonlocal interaction. Here we study the emergence and existence of chimera patterns in a three-dimensional network of coupled Stuart-Landau limit-cycle oscillators and Hindmarsh-Rose neuronal oscillators with local (nearest-neighbor) interaction topology. The emergence of different types of spatiotemporal chimera patterns is investigated by taking two distinct nonlinear interaction functions. We provide appropriate analytical explanations in the 3D grid of the network formation and the corresponding numerical justifications are given. We extend our analysis on the basis of the Ott-Antonsen reduction approach in the case of Stuart-Landau oscillators containing infinite numbers of oscillators. Particularly, in the Hindmarsh-Rose neuronal network the existence of nonstationary chimera states is characterized by an instantaneous strength of incoherence and an instantaneous local order parameter. Besides, the condition for achieving exact neuronal synchrony is obtained analytically through a linear stability analysis. The different types of collective dynamics together with chimera states are mapped over a wide range of various parameter spaces.

Original languageEnglish
Article number022204
JournalPhysical Review E
Volume99
Issue number2
DOIs
StatePublished - 8 Feb 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'Chimera patterns in three-dimensional locally coupled systems'. Together they form a unique fingerprint.

Cite this