Dynamical networks are important models for the behaviour of complex systems, modelling
physical, biological and societal systems, including the brain, food webs, epidemic disease …

Functional neural connectivity is drawing increasing attention in neuroscience research. To
infer functional connectivity from observed neural signals, various methods have been …

A scheme is designed to achieve phase synchronization (PS) and antiphase
synchronization (APS) for an n-dimensional hyperchaotic complex nonlinear system. For this …

We investigate the collective dynamics of bursting neurons on clustered networks. The
clustered network model is composed of subnetworks, each of them presenting the so-called …

Instantaneous phases extracted from multivariate time series can retain information about
the relationships between the underlying mechanisms that generate the series. Although …

The impact of connectivity and individual dynamics on the basin stability of the burst
synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is …

Complex systems such as ecological communities and neuron networks are essential parts
of our everyday lives. These systems are composed of units which interact through intricate …

Phase synchronization (PS) has drawn increasing attention in recent years for its extensive
applications in analyzing time series observed from coupled systems. In this paper, we …

The understanding of the relationship between topology and behaviour in interconnected
networks would allow to charac-terise and predict behaviour in many real complex networks …

Shannon's capacity theorem is the main concept behind the theory of communication. It says
that if the amount of information contained in a signal is smaller than the channel capacity of …