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 …
Hyperchaotic memristive ring neural network and application in medical image encryption
Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …
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 …
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 …
Exploiting flexible and secure cryptographic technique for multi-dimensional image based on graph data structure and three-input majority gate
Y Sha, J Mou, S Banerjee… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Industrial Internet of Things (IIoT) has greatly improved the efficiency
of manufacturing, but it also faces significant security challenges during the operational …
of manufacturing, but it also faces significant security challenges during the operational …
Multistability and phase synchronization of Rulkov neurons coupled with a locally active discrete memristor
In order to enrich the dynamic behaviors of discrete neuron models and more effectively
mimic biological neural networks, this paper proposes a bistable locally active discrete …
mimic biological neural networks, this paper proposes a bistable locally active discrete …
A new class of Hopfield neural network with double memristive synapses and its DSP implementation
T Ma, J Mou, H Yan, Y Cao - The European Physical Journal Plus, 2022 - Springer
The nonlinear characteristics are studied in a new 4D Hopfield neural network model with
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
Energy balance and synchronization via inductive-coupling in functional neural circuits
Y Xie, P Zhou, J Ma - Applied Mathematical Modelling, 2023 - Elsevier
A reliable functional neural circuit can estimate the information encoding and signal
exchange between neurons, and thus the recognition of electric activities in biological …
exchange between neurons, and thus the recognition of electric activities in biological …
Memristive cyclic three-neuron-based neural network with chaos and global coexisting attractors
It has been documented that a cyclic three-neuron-based neural network with resistive
synaptic weights cannot exhibit chaos. Towards this end, a memristive cyclic three-neuron …
synaptic weights cannot exhibit chaos. Towards this end, a memristive cyclic three-neuron …