This paper focuses on the dynamical characteristics of complex-valued memristor-based
BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different …

Inspired by security applications in the image transmission, this paper focuses on the usage
of chaotic properties of memristor-based bidirectional associate memory neural networks …

This article solves the exponential synchronization issue of memristor-based complex-
valued neural networks (MCVNNs) with time-varying uncertainties via feedback control …

In this article, the synchronization issue of memristive neural networks (MNNs) under denial-
of-service (DoS) attacks and actuator saturation is investigated via an observer-based …

In this paper, the fixed-time synchronization control problem of memristive multidirectional
associative memory neural networks (MMAMNNs) is considered. Based on the nonlinear …

This paper pays attention to the synchronization issue of complex-valued memristive neural
networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters …

Traditional biological neural networks lack the capability of reflecting variable synaptic
weights when simulating associative memory of human brains. In this paper, we propose a …

With the continuous development of computers, communication technology, and regional
medical collaboration services, the security and confidentiality of information are becoming …

This paper investigates the finite/fixed-time synchronization problem of delayed inertial
memristive neural networks (DIMNNs) using interval matrix-based methods within a unified …

Locally active memristor has become a research hotspot, and plays an important role in the
research of neural networks. In order to study the dynamic behavior of synaptic crosstalk …