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 …

Understanding the human brain and its functions has always been an interesting and
challenging problem. Recently, a significant progress on this problem has been achieved on …

A chimera state is a spatio-temporal pattern in a network of identical coupled oscillators in
which synchronous and asynchronous oscillation coexist. This state of broken symmetry …

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 …

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 …

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

Collective behavior among coupled dynamical units can emerge in various forms as a result
of different coupling topologies as well as different types of coupling functions. Chimera …

Conceptually and structurally simple mathematical models of coupled oscillator networks
can show a rich variety of complex dynamics, providing fundamental insights into many real …

Chimera states are complex spatio-temporal patterns that consist of coexisting domains of
spatially coherent and incoherent dynamics. This counterintuitive phenomenon was first …

Chimera states are complex spatio-temporal patterns that consist of coexisting domains of
coherent and incoherent dynamics. We analyse chimera states in ring networks of Van der …