Chimera states in two-dimensional networks of locally coupled oscillators

TL;DR

This paper demonstrates the emergence of chimera states in two-dimensional networks of locally coupled oscillators with nonlinear interactions, including neuronal models, verified through analytical and numerical methods.

Contribution

It introduces the first analysis of chimera states in 2D locally coupled oscillators with nonlinear coupling, especially in neuronal systems, supported by analytical and numerical evidence.

Findings

Chimera states occur in 2D locally coupled oscillators with nonlinear coupling.

Nonlinearity in coupling is crucial for chimera formation in these networks.

Chimera states are confirmed in neuronal models like Hindmarsh-Rose and Rulkov map.

Abstract

Chimera state is defined as a mixed type of collective state in which synchronized and desynchronized subpopulations of a network of coupled oscillators coexist and the appearance of such anomalous behavior has strong connection to diverse neuronal developments. Most of the previous studies on chimera states are not extensively done in two-dimensional ensembles of coupled oscillators by taking neuronal systems with nonlinear coupling function into account while such ensembles of oscillators are more realistic from a neurobiological point of view. In this paper, we report the emergence and existence of chimera states by considering locally coupled two-dimensional networks of identical oscillators where each node is interacting through nonlinear coupling function. This is in contrast with the existence of chimera states in two-dimensional nonlocally coupled oscillators with rectangular kernel in the coupling function. We find that the presence of nonlinearity in the coupling function plays a key role to produce chimera states in two-dimensional locally coupled oscillators. We analytically verify explicitly in the case of a network of coupled Stuart - Landau oscillators in two dimensions that the obtained results using Ott-Antonsen approach and our analytical finding very well matches with the numerical results. Next, we consider another type of important nonlinear coupling function which exists in neuronal systems, namely chemical synaptic function, through which the nearest-neighbor (locally coupled) neurons interact with each other. In numerical simulations, we consider two paradigmatic neuronal oscillators, namely Hindmarsh-Rose neuron model and Rulkov map for each node which exhibit bursting dynamics. The existence of chimera states is confirmed by instantaneous angular frequency, order parameter and strength of incoherence.