[HTML][HTML] 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 …
Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation
X Kong, F Yu, W Yao, S Cai, J Zhang, H Lin - Neural Networks, 2024 - Elsevier
Fractional-order differentiation (FOD) can record information from the past, present, and
future. Compared with integer-order systems, FOD systems have higher complexity and …
future. Compared with integer-order systems, FOD systems have higher complexity and …
High-dimensional memristive neural network and its application in commercial data encryption communication
With the development of economic globalization, demands for digital business data sharing
among different subsidiary companies are constantly emerging. How to achieve secure …
among different subsidiary companies are constantly emerging. How to achieve secure …
A triple-memristor Hopfield neural network with space multistructure attractors and space initial-offset behaviors
Memristors have recently demonstrated great promise in constructing memristive neural
networks with complex dynamics. This article proposes a memristive Hopfield neural …
networks with complex dynamics. This article proposes a memristive Hopfield neural …
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 …
Dynamics analysis, synchronization and FPGA implementation of multiscroll Hopfield neural networks with non-polynomial memristor
F Yu, X Kong, W Yao, J Zhang, S Cai, H Lin… - Chaos, Solitons & …, 2024 - Elsevier
The number of attractors in a memristor-based multiscroll Hopfield Neural Network (HNN) is
typically coupled with the number of polynomials, which leads to a coupling between the …
typically coupled with the number of polynomials, which leads to a coupling between the …
A class of 2n+ 1 dimensional simplest Hamiltonian conservative chaotic systems and fast image encryption schemes
X Kong, F Yu, W Yao, C Xu, J Zhang, S Cai… - Applied Mathematical …, 2024 - Elsevier
Compared with dissipative systems, conservative systems do not have attractors, thus they
can better cope with the security risks brought by phase space reconstruction. In this paper …
can better cope with the security risks brought by phase space reconstruction. In this paper …
Synchronization coexistence in a Rulkov neural network based on locally active discrete memristor
At present, many neuron models have been proposed, which can be divided into discrete
neuron models and continuous neuron models. Discrete neuron models have the …
neuron models and continuous neuron models. Discrete neuron models have the …
Dynamical behavior of memristor-coupled heterogeneous discrete neural networks with synaptic crosstalk
Synaptic crosstalk is a prevalent phenomenon among neuronal synapses, playing a crucial
role in the transmission of neural signals. Therefore, considering synaptic crosstalk behavior …
role in the transmission of neural signals. Therefore, considering synaptic crosstalk behavior …
Grid multi-scroll attractors in memristive Hopfield neural network under pulse current stimulation and multi-piecewise memristor
Q Wan, S Chen, Q Yang, J Liu, K Sun - Nonlinear Dynamics, 2023 - Springer
Grid multi-scroll attractors are widely studied in the traditional chaotic systems but are rarely
appeared in the neural network systems. This paper proposes a novel method for …
appeared in the neural network systems. This paper proposes a novel method for …