Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

This paper considers the exponential synchronization issue for variable-order fractional
complex dynamical networks (FCDNs) with short memory and derivative couplings via the …

Transitions from incoherent to coherent dynamical states can be observed in various real-
world networks, ranging from neurons to power-grids. These transitions can be explosive or …

The aim of this paper is to investigate exponential synchronization issue of time-varying
multi-weights network with time delays (TMNTD) via periodic self-triggered intermittent …

In this paper, an array of discrete-time coupled complex-valued neural networks (CVNNs)
with random system parameters and time-varying delays are introduced. The stochastic …

The survival and occurrence of chaos are much dependent on the intrinsic nonlinearity and
parameters region for deterministic nonlinear systems, which are often represented by …

This article investigates the synchronization of fractional-order multi-weighted complex
networks (FMWCNs) with order. A useful fractional-order inequality is extended to a more …

This article focuses on the event-triggered synchronization of delayed discrete-time chaotic
neural networks with quantized effect and stochastic deception attack. First, for alleviating …

Explosive synchronization underlying many abrupt dynamical phenomena has attracted a
great deal of attention in various fields. Here, we untangle the dynamical origin of the …

The conventional PID control method is utilized for synchronizing a network of chaotic
systems, where the coupling is defined on the proportions, integrals and derivatives of the …