This paper presents a 6D autonomous system, obtained by introducing a flux-controlled
memristor model into an existing 5D hyperchaotic autonomous system. The dynamics of the …

In this paper, a new method for generating symmetric multi-scroll attractors is proposed
based on a magnetized Hopfield neural network (HNN). Firstly, the mathematical model of …

Heterogeneous coexistence of multiple attractors was exhibited by a two-dimensional (2-D)
non-autonomous model of adaptive synapse neuron with external excitation. Considering …

Local activity is regarded as the origin of complexity. In this study, a locally active memristor
with coexisting two stable pinched hysteresis loops and two local activity regions is …

Neurons can exhibit abundant electrical activities due to physical effects of various
electrophysiology environments. The electromagnetic induction flows can be triggered by …

The theoretical, numerical and experimental demonstrations of firing dynamics in isolated
neuron are of great significance for the understanding of neural function in human brain. In …

In this paper, a novel no-equilibrium Hindmarsh-Rose (HR) neuron model with memristive
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …

Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …

Due to the great importance of the outward current carried by K+ ions and the inward one by
Na+ and Ca 2+ ions in 3-D Chay neuron model, the dynamical behaviors associated with …

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 …