With the advent of the physical memristor, various memristive neural network models have
been designed and analyzed to mimic some human brain functions. However, there is a …

Image encryption, as a critical branch, has attracted increasing attention to the demand for
information security specifically in the era of artificial intelligence (AI). A chaotic sequence is …

Bursting is a diverse and common phenomenon in neuronal activation patterns and it
indicates that fast action voltage spiking periods are followed by resting periods. The …

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

In recent years, memristors have shown great potential in building artificial neural networks.
Many researchers have worked on improving and innovating the design of memristors. The …

Memristor possesses synapse-like properties that can mimic excitation and inhibition
between neurons. This article introduces the Sigmoid functions to the memristor and …

In this paper, a novel discrete flux-controlled memristor model combining square and cosine
function is proposed and its properties are analyzed. Then, the discrete memristor is used to …

The multi-stable memristor is a type of memristor that can store multiple conductance states,
optimizing information management and improving the efficiency of artificial neural networks …

Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique
memory function. This article presents a design of a new Hopfield neural network (HNN) that …

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 …