Pattern estimation and selection in media can give important clues to understand the
collective response to external stimulus by detecting the observable variables. Both reaction …

Turing patterns and spiral waves, which are spatiotemporal ordered structures, are a
common occurrence in complex systems, manifesting in a variety of forms. Investigations on …

Spiral waves are a type of typical pattern in open reaction-diffusion systems far from
thermodynamic equilibrium. The study of spiral waves has attracted great interest because …

Most complex social, biological and technological systems can be described by dynamic
networks. Reconstructing network structures from measurable data is a fundamental …

Understanding the interplay of topology and dynamics of excitable neural networks is one of
the major challenges in computational neuroscience. Here we employ a simple deterministic …

Emergence is one of the most essential features of complex systems. This property implies
new collective behaviors due to the interaction and self-organization among elements in the …

The collective behaviors of networks are often dependent on the network connections and
bifurcation parameters, also the local kinetics plays an important role in contributing the …

The study of specific physiological processes from the perspective of network physiology
has gained recent attention. Modeling the global information integration among the …

The problem of self-sustained oscillations in excitable complex networks is the central issue
under investigation, among which the prediction and the realization of self-sustained …

The problem of oscillation mode recognition is one of the most important issues under
investigation in the field of biological systems. In this paper, we have systematically …