Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without
reaction-diffusion terms have been widely researched due to their successful applications in …

This paper investigates exponential stabilization of continuous-time dynamic systems
(CDSs) via event-based impulsive control (EIC) approaches, where the impulsive instants …

This paper is concerned with quasi-synchronization of delayed memristive neural networks
(MNNs) with switching jumps mismatches via aperiodically intermittent control. The issue is …

This paper deals with the event-based finite-time state estimation problem for a class of
discrete-time stochastic neural networks with mixed discrete and distributed time delays. In …

In this study, we consider the fixed-time synchronization problem for stochastic memristor-
based neural networks (MNNs) via two different controllers. First, a new stochastic …

Biological neurons and nonlinear circuits contain certain inner field energy, and an
equivalent Hamilton energy function can be obtained to discern the dependence of firing …

It is well known that how to deal with the effect of time delay and how to determine the
control and rest widths are the main difficulties for intermittent control. This paper considers …

The existence, uniqueness and stability of the equilibrium of quaternion-valued neural
networks (QVNNs) with both discrete and distributed delays are investigated in this paper …

Neuron is the basic unit of the structure and function of the nervous system. It has the
function of receiving stimulus, producing excitement and conducting excitement. After …

The memristor has drawn a significant interest in the fields of neuromorphic circuits because
the nanoscale memristor is a strong candidate to become the critical element of novel ultra …