When nonlinear dynamical systems are coupled, depending on the intrinsic dynamics and
the manner in which the coupling is organized, a host of novel phenomena can arise. In this …

Phase transitions are an important and extensively studied concept in physics. The insights
derived from understanding phase transitions in physics have recently and successfully …

Real-world systems in epidemiology, social sciences, power transportation, economics and
engineering are often described as multilayer networks. Here we first define and compute …

Energy absorption and consumption are essential for the activity of single neurons and
neuronal networks. The synchronization mode transition and energy dependence in a delay …

Noise and time-delays are ubiquitous in physical and biological systems. In this paper, the
multiple time-delays coupled FitzHugh-Nagumo (FHN) models is employed to investigate …

This paper is concerned with the synchronization of multiagent systems connected via
different types of interactions, known as multilayer networks. Additive coupling and …

The structure of many real-world systems is best captured by networks consisting of several
interaction layers. Understanding how a multilayered structure of connections affects the …

Some electronic components including memristors and Josephson junctions have potential
application to mimic biological neurons or synapses characteristics. In this paper, an …

We consider the synchronization of coupled dynamical systems when different types of
interactions are simultaneously present. We assume that a set of dynamical systems is …

A large class of engineered and natural systems, ranging from transportation networks to
neuronal networks, are best represented by multiplex network architectures, namely a …