Images serve as a valuable information carrier for their properties of visualization and
holding a large amount of messages. This paper presents a novel chaos-based encryption …

Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique
memory function. This article presents a design of a new Hopfield neural network (HNN) that …

The investigation of discrete memristive chaotic systems with complex dynamics has been
an interesting and meaningful research work. This paper is devoted to constructing a …

The neuron models have been widely applied to neuromorphic computing systems and
chaotic circuits. However, discrete neuron models and their application in image encryption …

Most of the papers published so far in literature have focused on the theoretical phenomena
underlying the formation of chaos, rather than on the investigation of potential applications of …

A new 4D chaotic system with self-excited attractors or hidden attractors is designed and the
generation of self-excited attractors and hidden attractors depends on the parameters of the …

Undoubtedly, multistability represents one of the most followed venues for researchers
working in the field of nonlinear science. Multistability refers to the situation where a …

Chaotic systems with memristor are favored by academia because of diversity of dynamics.
This brief reports a novel two-memristor-based 4D chaotic system. Numerical simulation …

In this paper, a new method for generating multi-scroll chaotic attractors via constructing a
compound hyperbolic tangent-cubic nonlinear function in canonical Chua's circuit is …

Previous studies have shown that cyclic neural networks which have no autoexcitation and
are unidirectional cannot generate chaos. Inspired by this finding, the present paper …