The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …

Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …

Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …

Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …

Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …

In this work, we propose a new fractional-order chaotic system based on the model of 4-
neurons-based Hopfield Neural Network (HNN). By using Adomain decomposition method …

A new 3-D chaotic dynamical system with a peanut-shaped closed curve of equilibrium
points is introduced in this work. Since the new chaotic system has infinite number of rest …

Due to the existence of membrane potential differences, the electromagnetic induction flows
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …

Hopfield neural networks are favored by academia and industrial fields due to their
abundant dynamics. In this paper, the dynamical behavior of a small Hopfield neural …

Circuit realization of neural networks is a significant approach in neuromorphic computing.
Researchers have simplified the circuit for single neuron model, but one for neural network …