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 …

Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …

Hyperbolic tangent function, a bounded monotone differentiable function, is usually taken as
a neuron activation function, whose activation gradient, ie gain scaling parameter, can …

In this paper, from a new perspective of flux and charge, we present in-depth analyses of two
ideal memristor emulators and the fifth-order memristive Chua's circuit constructed based on …

Although memristor has been widely discussed in recent years, the topic of memristor in
discrete domain is rarely mentioned. This paper presents a higher dimensional chaotic map …

The realization of real memristor makes it be a very popular topic in recent years. However,
the topic about discrete memristor model is rarely discussed. In this paper, a discrete …

Memristor chaotic system has been attracted by many researchers because of the rich
dynamical behaviors. However, some existed memristor chaotic systems have finite …

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 …

In this paper, a universal charge-controlled mem-elements (including memristor,
memcapacitor, and meminductor) emulator consisting of off-the-shelf devices is proposed …

Since the electrical activities of neurons are closely related to complex electrophysiological
environment in neuronal system, a novel three‐dimensional memristive Hindmarsh–Rose …