The cellular neural network (CNN) is an implementable solution for fully connected neural
networks. Using nanoscale memristor to realize its nonlinear activation function can simplify …

This study investigates a novel chaotic memristive cellular neural network (CNN) and its
synchronization. Firstly, a fourth-order chaotic system with a memristor is established by …

The memristor's unique memory function and non-volatile nature make it an ideal electronic
bionic device for artificial neural synapses. This paper aims to construct a class of …

Continuous memristors have been widely studied in recent years; however, there are few
studies on discrete memristors in the field of neural networks. In this paper, a four-stable …

Memristive network exhibits state-dependent switching behaviors due to the physical
properties of memristor, which is an ideal tool to mimic the functionalities of the human brain …

A new tri-cellular neural network (CNN) system based on double memristors is constructed
which used a hyperbolic tangent function instead of the conventional segmentation function …

Recently, a striking dynamical phenomenon characterized as coexisting attractors in
nonlinear systems has been extensively studied. In this study, a novel memristive chaotic …

In this article, by introducing a signed graph to describe the coopetition interactions among
network nodes, the mathematical model of multiple memristor-based neural networks …

This paper investigates the adaptive synchronization of memristor-based neural networks
(MNNs) with discontinuous activations. First, by using a decoupling strategy, the extensively …

This paper focuses on the hybrid effects of coupling, time-varying delay, intermittent
controller on memristor-based neural networks. Firstly, we constructed an array of linearly …