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 …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

Percolation and synchronization are two phase transitions that have been extensively
studied since already long ago. A classic result is that, in the vast majority of cases, these …

Synchronization processes in populations of locally interacting elements are the focus of
intense research in physical, biological, chemical, technological and social systems. The …

In this paper, the synchronization of complex dynamical networks (CDNs) with system delay
and multiple coupling delays is studied via impulsive distributed control. The concept of …

Inference of causality is central in nonlinear time series analysis and science in general. A
popular approach to infer causality between two processes is to measure the information …

In this paper, the models of intermittently coupled complex-valued networks (ICCVNs) are
presented to reveal the mechanism of intermittent coupling, where the nodes are connected …

This paper is concerned with the global exponential synchronization of two memristor-based
recurrent neural networks (MRNNs) with time delays via static or dynamic coupling. First …

In this paper, we study the distributed synchronization and pinning distributed
synchronization of stochastic coupled neural networks via randomly occurring control. Two …

Synchronization phenomena are pervasive in coupled nonlinear systems across the natural
world and engineering domains. Understanding how to dynamically identify the parameter …