Chaos is devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
Numerical study of periodic windows for the logistic map is carried out. Accurate rigorous bounds for periodic windows’ end points are computed using interval arithmetic based tools. An efficient ...
We study a pair of independent searchers competing for a target under restarts and find that introduction of restarts tends to enhance the search efficiency of an already efficient searcher. As a ...
Detecting directional couplings from time series is crucial in understanding complex dynamical systems. Various approaches based on reconstructed state-spaces have been developed for this purpose, ...
We demonstrate that fundamental nonlinear localized modes can exist in the Chen–Lee–Liu equation modified by several parity-time ( P T ) symmetric complex potentials. The explicit formula ...
We investigate the aging transition in networks of excitable and self-oscillatory units as the fraction of inherently excitable units increases. Two network topologies are considered: a scale-free ...
This work deals with a parametric linear interpolation between an autonomous FitzHugh–Nagumo model and a nonautonomous skewed problem with the same fundamental structure. This paradigmatic example ...
The actors are placed at nodes of the complete weighted graph. They are endowed with densities of contact with the other actors and with positions in a social hierarchy. These characteristics evolve ...
Numerical study of periodic windows for the logistic map is carried out. Accurate rigorous bounds for periodic windows’ end points are computed using interval arithmetic based tools. An efficient ...
The precise amplitude and period of neuronal oscillations are crucial for the functioning of neuronal networks. We propose a chain model featuring a repulsive coupling at the first node, followed by ...
