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 …

Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

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

We propose a concept to generate and stabilize diverse partial synchronization patterns
(phase clusters) in adaptive networks which are widespread in neuroscience and social …

Fully and partially synchronized brain activity plays a key role in normal cognition and in
some neurological disorders, such as epilepsy. However, the mechanism by which …

Networks of coupled nonlinear oscillators allow for the formation of nontrivial partially
synchronized spatiotemporal patterns, such as chimera states, in which there are coexisting …

Despite impressive scientific advances in understanding the structure and function of the
human brain, big challenges remain. A deep understanding of healthy and aberrant brain …

Electrical and chemical synapses shape the dynamics of neural networks, and their
functional roles in information processing have been a longstanding question in …

The heterogeneity among interacting dynamical systems or variations in the pattern of their
interactions occur naturally in many real complex systems. Often they lead to partially …

Multiplex networks are networks composed of multiple layers such that the number of nodes
in all layers is the same and the adjacency matrices between the layers are diagonal. We …