It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

We study an excitable active rotator with slowly adapting nonlinear feedback and noise.
Depending on the adaptation and the noise level, this system may display noise-induced …

This paper proposes a three dimensional pulse coupled neural network (3DPCNN) image
segmentation method based on a hybrid seagull optimization algorithm (HSOA) to solve the …

We study the collective dynamics in a population of excitable units (neurons) adaptively
interacting with a pool of resources. The resource pool is influenced by the average activity …

In-phase synchronization is a special case of synchronous behavior when coupled
oscillators have the same phases for any time moments. Such behavior appears naturally for …

The brain is known to be plastic, ie, capable of changing and reorganizing as it develops
and accumulates experience. Recently, a novel form of brain plasticity was described which …

The role of delocalization and hybridization in complex magnetic oxides has been
investigated by magnetic oxygen K-edge absorption of circular polarized soft X-rays in …

The recently introduced complex active optical network (LANER) generalizes the concept of
laser system to a collection of links, building a bridge with random-laser physics and …

We consider the synchronization problem of dynamical networks with delayed interactions.
More specifically, we focus on the stabilization of synchronous equilibria in regular networks …

We present an analytical framework that allows the quantitative study of statistical dynamic
properties of networks with adaptive nodes that have memory and is used to examine the …