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 …
Dynamics analysis and hardware implementation of multi-scroll hyperchaotic hidden attractors based on locally active memristive Hopfield neural network
It is believed that local activation is the origin of all complexities, and the locally active
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
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 …
Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
Synchronization of memristive neural networks (MNNs) by using network control scheme
has been widely and deeply studied. However, these researches are usually restricted to …
has been widely and deeply studied. However, these researches are usually restricted to …
Memristive Hopfield neural network dynamics with heterogeneous activation functions and its application
Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …
networks. However, the exploration of neural networks composed of various activation …
Firing pattern in a memristive Hodgkin–Huxley circuit: Numerical simulation and analog circuit validation
Spiking firing patterns and their hardware implementation can assist us in exploring spike-
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …
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 …