A review of chaotic systems based on memristive Hopfield neural networks
Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
A locally active discrete memristor model and its application in a hyperchaotic map
The continuous memristor is a popular topic of research in recent years, however, there is
rare discussion about the discrete memristor model, especially the locally active discrete …
rare discussion about the discrete memristor model, especially the locally active discrete …
A fast and efficient multiple images encryption based on single-channel encryption and chaotic system
X Gao, J Mou, L Xiong, Y Sha, H Yan, Y Cao - Nonlinear dynamics, 2022 - Springer
A multiple-image encryption algorithm based on single-channel scrambling, diffusion and
chaotic system is presented in this paper. The initial values of the chaotic system are …
chaotic system is presented in this paper. The initial values of the chaotic system are …
Brain-like initial-boosted hyperchaos and application in biomedical image encryption
Neural networks have been widely and deeply studied in the field of computational
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …
Hidden coexisting hyperchaos of new memristive neuron model and its application in image encryption
Q Lai, C Lai, H Zhang, C Li - Chaos, Solitons & Fractals, 2022 - Elsevier
The neuron models have been widely applied to neuromorphic computing systems and
chaotic circuits. However, discrete neuron models and their application in image encryption …
chaotic circuits. However, discrete neuron models and their application in image encryption …
Memristive Rulkov neuron model with magnetic induction effects
The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …
models but they have not been successfully described by a discrete memristive model yet …
Offset-control plane coexisting behaviors in two-memristor-based Hopfield neural network
Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …
Discrete memristor hyperchaotic maps
Regarding as a basic circuit component with special nonlinearity, memristor has been
widely applied in chaotic circuits and neuromorphic circuits. However, discrete memristor …
widely applied in chaotic circuits and neuromorphic circuits. However, discrete memristor …
A family of memristive multibutterfly chaotic systems with multidirectional initial-based offset boosting
Memristors are commonly used to construct memristive chaotic systems with complex
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
Design and performance analysis of discrete memristive hyperchaotic systems with stuffed cube attractors and ultraboosting behaviors
Q Lai, L Yang, G Chen - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Memristors are widely used for studying chaotic oscillations due to their special nonlinearity
and plasticity. This article presents a framework for constructing the ultraboosting memristive …
and plasticity. This article presents a framework for constructing the ultraboosting memristive …