With the development of economic globalization, demands for digital business data sharing
among different subsidiary companies are constantly emerging. How to achieve secure …

Research into metasurfaces is developing rapidly and is topical due to their importance and
applications in various fields such as communications, cryptography, and sensing, to name …

There are numerous studies on Hopfield neural networks with electromagnetic induction
using memristors in either autaptic or synaptic connections. In this study, we explore a novel …

This work deals with the regular and chaotic dynamics of a system made up of two Hopfield-
type neurons with two different activation functions: the hyperbolic tangent function and the …

This paper investigates the dynamics of a Hopfield inertial bi-neuron with double memristive
synaptic weights. The dynamical behavior of the system is investigated with both numerical …

The function of the biological nervous system is related to its dynamics. This paper explored
the dynamics effects of bias current composed on inertial neural system based with two …

With the advancement of computational capacity, the key space will become one of the
crucial factors influencing the security of digital cryptographic systems. Despite chaotic …

In this paper, the influence of non-monotonic nonlinearity within the dynamics of the Thomas
model is studied. The system presents various six-scroll chaos over a wide range of …

In recent years, constructing hidden attractors with multi-scroll has become a key discussion
point in the research and application fields of chaos science. In this paper, with the existing …

To aid researchers in gaining a deeper understanding of the evolutionary laws within the
dynamical system of neural networks, we propose a neural network with variable neuron …