Neural networks have been widely and deeply studied in the field of computational
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …

This paper announces a novel three-dimensional chaotic system with line equilibrium and
discusses its dynamic properties such as Lyapunov exponents, phase portraits, equilibrium …

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 work, we describe the model of a new 5-D hyperchaotic system with three positive
Lyapunov exponents. Since the maximum positive Lyapunov exponent of the proposed …

In order to improve the security and efficiency of image encryption, many researchers have
continuously proposed new image encryption schemes in recent years. However, these …

Image encryption is a commonly used method to secure medical data on a public network,
playing a crucial role in the healthcare industry. Because of their complex dynamics …

Due to the limited machine word length of hardware devices, the dynamics of digital chaotic
systems will degenerate. To combat this issue, we proposed a universal method that is …

This paper proposes a new and efficient color image encryption algorithm based on multiple
chaotic maps (Logistic map, Sine map, and Chebyshev map) and the intersecting planes …

In this work, we describe the model of a new 4-D hyperchaotic system with no balance point
and deduce that the new hyperchaotic system has a hidden attractor. We present a detailed …

In this paper, a new chaos-based true random number generator (TRNG) and a sliding
mode controller (SMC) to synchronize the proposed TRNGs are proposed. Firstly, the …