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 …

Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

The inescapable presence of time delay in numerous real-world systems, particularly in
neuronal networks, prompts an exploration of its impact on synchronization dynamics. This …

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 …

Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

Recently, a photosensitive model has been proposed that takes into account nonlinear
encoding and responses of photosensitive neurons that are subject to optical signals. In 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 …

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 …

Continuous pump and transmission of charges such as calcium, potassium, sodium in the
cell can induce time-varying electromagnetic field, and the induced electric field can further …