Chimeras are this year coming of age since they were first observed by Kuramoto and
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …

Neuronal networks, similar to many other complex systems, self-organize into fascinating
emergent states that are not only visually compelling, but also vital for the proper functioning …

A chimera state represents a distinct configuration within interconnected oscillatory networks
comprising both coherent and incoherent oscillators. In specific scenarios, multiple sets of …

Abstract The FitzHugh–Nagumo equation, originally conceived in neuroscience during the
1960s, became a key model providing a simplified view of excitable neuron cell behavior. Its …

We review chimera patterns, which consist of coexisting spatial domains of coherent
(synchronized) and incoherent (desynchronized) dynamics in networks of identical …

Chimera states are self-organized spatiotemporal patterns of coexisting coherence and
incoherence. We give an overview of the main mathematical methods used in studies of …

We study the emergence of chimera states in a multilayer neuronal network, where one
layer is composed of coupled and the other layer of uncoupled neurons. Through the …

Synchronization phenomena represent one of the central issues in the modern research, in
particular, on nonlinear dynamics, network science, and statistical physics with applications …

INTRODUCTION A paramount contemporary scientific challenge is to understand and
control networks. General studies of networks are essential to a variety of disciplines …

We demonstrate that chimera behavior can be observed in nonlocally coupled networks of
excitable systems in the presence of noise. This phenomenon is distinct from classical …