When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …

Discrete memristors can be used to construct chaotic and hyperchaotic mapping models by
self-feedback or coupling method, but these constructed maps do not have multistability or …

The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …

Recently, discrete memristor maps can be directly constructed using discrete memristors.
However, some discrete memristors with reciprocal polynomial memristances cannot be …

Networks of coupled oscillators have been used to model various real-world self-organizing
systems. However, the dynamics, especially chaos and bifurcation, of complex-valued …

A hyperchaotic map with various patterns of coexisting attractors is found by introducing
trigonometric functions. The periodicity of trigonometric functions, as a key factor of …

In this paper, the complex routes to chaos in a memristor-based Shinriki circuit are
discussed semi-analytically via the discrete implicit mapping method. The bifurcation trees of …

Synaptic plasticity makes memristors particularly suitable for simulating the connection
synapses between neurons that describe magnetic induction coupling. By applying a …

In this article, a single nonautonomous Hopfield neuron is investigated. This neuron involves
a new hyperbolic-type memristor as self-synaptic weight. The current–voltage characteristics …

Due to its internal state, the memristive nonlinearity has different dynamic characteristics
from the traditional resistive nonlinearity. It has been proved that the memristive nonlinearity …