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 …
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 …
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 …
Localization of hidden attractors is one of the most challenging tasks in the nonlinear dynamics due to deficiency of properly justified analytical and numerical procedures. But …
S Majhi, D Ghosh - Chaos: An Interdisciplinary Journal of Nonlinear …, 2018 - pubs.aip.org
The distinctive phenomenon of the chimera state has been explored in neuronal systems under a variety of different network topologies during the last decade. Nevertheless, in all …
Chimeras are special states that are composed of coexisting spatial domains of coherent and incoherent dynamics, which typically emerge in identically coupled oscillators. In this …
X Li, D Ghosh, Y Lei - Chaos, Solitons & Fractals, 2023 - Elsevier
The study of chimera states in non-pairwise interaction networks is one of the challenging issues in current research. In recent work [S. Kundu and D. Ghosh (2022)], it was discovered …
A complex spatiotemporal pattern with coexisting coherent and incoherent domains in a network of identically coupled oscillators is known as a chimera state. Here, we report the …