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 …

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 …

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 …

Since the discovery of chimera states, the presence of a nonzero phase lag parameter turns
out to be an essential attribute for the emergence of chimeras in a nonlocally coupled …

Complex spatiotemporal patterns, called chimera states, consist of coexisting coherent and
incoherent domains and can be observed in networks of coupled oscillators. The interplay of …

Higher-order networks are gaining significant scientific attention due to their ability to
encode the many-body interactions present in complex systems. However, higher-order …

Chimera states, namely complex spatiotemporal patterns that consist of coexisting domains
of spatially coherent and incoherent dynamics, are investigated in a network of coupled …

We study remote (or relay) synchronization in multilayer networks between parts of one layer
and their counterparts in a second layer, where these two layers are not directly connected …