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 …

Memristors, with their unique nonlinear characteristics, are highly suitable for construction
novel neural models with rich dynamic behaviors. In this paper, a memristor with piecewise …

The exponential function is one of the basic elementary functions, which plays an
irreplaceable role in mathematics and is also widely used in practical activities such as life …

The complex dynamics of a simple memristive tabu learning neuron (MTLN) are considered
in this article. The analysis of the stability of its equilibria revealed that it displays self-excited …

In this article, a chameleon cryptosystem, based not only on the properties of a chameleon
chaotic system but also on the dynamic DNA coding is proposed. The chaotic chameleon …

Neural firing behavior is essentially the energy transmission between neurons, which can
represent the information process of nervous system. Consequently, it is crucial to delve …

The influence of electromagnetic field to neuron firing rhythm is not negligible. In order to
investigate the behavior mechanism, a five-dimensional neuron model based on the …

Most discrete neuron models have simple algebraic structures with easy digital
implementation. However, they cannot show the abundant firing regimes of neurons. To …

Multistability and symmetry breaking have been significantly investigated recently. In this
paper, we study the effects of symmetry breaking on the behavior of a particular class of …

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 …