Browsing Research publications by Author "Wang, Chunhua"
Now showing items 1-20 of 33
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Adaptive Biomimetic Neuronal Circuit System Based on Myelin Sheath Function
Li, Xiaosong; Sun, Jingru; Ma, Wenjing; Sun, Yichuang; Wang, Chunhua; Zhang, Jiliang (2024-01-25)Brain-inspired neuromorphic computing architectures are receiving significant attention in the consumer electronics field owing to their low power consumption, high computational capacity, and strong adaptability, where ... -
Brain-like Initial-boosted Hyperchaos and Application in Biomedical Image Encryption
Lin, Hairong; Wang, Chunhua; Cui, Li; Sun, Yichuang; Xu, Cong; Yu, Fei (2022-03-03)Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. This paper focuses on the ... -
Cluster Output Synchronization for Memristive Neural Networks
Zhou, Chao; Wang, Chunhua; Sun, Yichuang; Yao, Wei; Lin, Hairong (2022-04-01)Herein, cluster output synchronization for memristive neural networks (MNNs) is investigated using two different control schemes. Existing synchronization models for MNNs focus on the behavior of a single neuron node in ... -
Design of Artificial Neurons of Memristive Neuromorphic Networks Based on Biological Neural Dynamics and Structures
Li, Xiaosong; Sun, Jingru; Sun, Yichuang; Wang, Chunhua; Hong , Qinghui; Du, Sichun; Zhang, Jiliang (2024-02-20)Memristive neuromorphic networks have great potentialand advantage in both technology and computationalprotocols for artificial intelligence. Efficient hardware design ofbiological neuron models forms the core of research ... -
An Efficient Memristive Alternating Crossbar Array and The Design of Full Adder
Jiang, Meiqi; Sun, Jingru; Wang, Chunhua; Liao, Ziyao; Sun, Yichuang; Hong , Qinghui; Zhang, Jiliang (2023-09-16)Memristor is one of the most promising emerging technologies to solve the von Neumann bottleneck problem due to its non-volatile and binary characteristics. This paper studies the design method of high efficiency logic ... -
Event-Triggered Control for Robust Exponential Synchronization of Inertial Memristive Neural Networks Under Parameter Disturbance
Yao, Wei; Wang, Chunhua; Sun, Yichuang; Gong, Shuqing; Lin, Hairong (2023-05-04)Synchronization of memristive neural networks (MNNs) by using network control scheme has been widely and deeply studied. However, these researches are usually restricted to traditional continuous-time control methods for ... -
Exponential multistability of memristive Cohen-Grossberg neural networks with stochastic parameter perturbations
Yao, Wei; Wang, Chunhua; Sun, Yichuang; Zhou, Chao; Lin, Hairong (2020-12-01)Due to instability being induced easily by parameter disturbances of network systems, this paper investigates the multistability of memristive Cohen-Grossberg neural networks (MCGNNs) under stochastic parameter perturbations. ... -
An Extremely Simple Multi-Wing Chaotic System: Dynamics Analysis, Encryption Application and Hardware Implementation
Lin, Hairong; Wang, Chunhua; Yu, Fei; Xu, Cong; Hong , Qinghui; Yao, Wei; Sun, Yichuang (2020-12-31)Polynomial functions have been the main barrierrestricting the circuit realization and engineering applicationof multi-wing chaotic systems (MWCSs). To eliminate thisbottleneck, we construct a simple MWCS without ... -
A family of memristive multibutterfly chaotic systems with multidirectional initial-based offset boosting
Lin, Hairong; Wang, Chunhua; Du, Sichun; Yao, Wei; Sun, Yichuang (2023-07-31)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 simplified multi-piecewise memristor is applied ... -
Firing multistability in a locally active memristive neuron model
Lin, Hairong; Wang, Chunhua; Sun, Yichuang; Yao, Wei (2020-06-01)The theoretical, numerical and experimental demonstrations of firing dynamics in isolated neuron are of great significance for the understanding of neural function in human brain. In this paper, a new type of locally active ... -
Generating n-Scroll Chaotic Attractors From A Memristor-based Magnetized Hopfield Neural Network
Lin, Hairong; Wang, Chunhua; Sun, Yichuang; Wang, Ting (2022-10-06)This brief presents a novel method to generate n-scroll chaotic attractors. First, a magnetized Hopfield neural network (HNN) with three neurons is modeled by introducing an improved multi-piecewise memristor to describe ... -
High-dimensional memristive neural network and its application in commercial data encryption communication
Wang, Chunhua; Tang, Dong; Lin, Hairong; Yu, Fei; Sun, Yichuang (2024-05-15)With the development of economic globalization, demands for digital business data sharing among different subsidiary companies are constantly emerging. How to achieve secure transmission of commercial data in the Internet ... -
Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
Yao, Wei; Wang, Chunhua; Cao, Jinde; Sun, Yichuang; Zhou, Chao (2019-10-21)In this paper, we focus on synchronization issue of coupled multistable memristive neural networks (CMMNNs) with time delay under multiple stable equilibrium states. First, we build delayed CMMNNs consisting of one master ... -
Hyperchaotic Bilateral Random Low-Rank Approximation Random Sequence Generation Method and Its Application on Compressive Ghost Imaging
Tan, Songyuan; Sun, Jingru; Tang, Yiping; Sun, Yichuang; Wang, Chunhua (2024-02-15)Hyperchaotic systems have been widely used in the field of communication and information security to generate random numbers due to their super-long sequences, pseudo-randomness, and unpredictability. However, chaotic ... -
Hyperchaotic memristive ring neural network and application in medical image encryption
Lin, Hairong; Wang, Chunhua; Cui, Li; Sun, Yichuang; Zhang, Xin; Yao, Wei (2022-06-29)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 behaviors due to their special structure. In this ... -
Memristive Cluster Based Compact High-Density Nonvolatile Memory Design and Application for Image Storage
Sun, Jingru; Jiang, Meiqi; Zhou, Qi; Wang, Chunhua; Sun, Yichuang (2022-05-28)As a new type of nonvolatile device, the memristor has become one of the most promising technologies for designing a new generation of high-density memory. In this paper, a 4-bit high-density nonvolatile memory based on a ... -
Memristive PAD three-dimensional emotion generation system based on D-S evidence theory
Zhang, Mengxian; Wang, Chunhua; Sun, Yichuang; Li, Tao (2024-01-28)In this work, a Pleasure–Arousal–Dominance (PAD) three-dimensional brain-like emotion generation system is proposed by simulating the brain tissue structures involved in emotion generation in the brain’s limbic system. The ... -
A Memristive Spiking Neural Network Circuit with Selective Supervised Attention Algorithm
Deng, Zekun; Wang, Chunhua; Lin, Hairong; Sun, Yichuang (2023-08-08)Spiking neural networks (SNNs) are biologicallyplausible and computationally powerful. The current computingsystems based on the von Neumann architecture are almostthe hardware basis for the implementation of SNNs. ... -
Memristor-Based Affective Associative Memory Neural Network Circuit with Emotional Gradual Processes
Liao, Meiling; Wang, Chunhua; Sun, Yichuang; Lin, Hairong; Xu, Cong (2022-04-01)In the existing affective associative memory neural network circuits, the change of emotions in the affective associative learning and forgetting processes is abrupt and the intensity of emotions is invariable. In fact, ... -
Memristor-based neural network circuit with weighted sum simultaneous perturbation training and its applications
Xu, Cong; Wang, Chunhua; Sun, Yichuang; Hong , Qinghui; Deng, Quanli; Chen, Haowen (2021-08-20)In this work, a full circuit of memristor-based neural network with weighted sum simultaneous perturbation training is proposed. Firstly, a synaptic circuit is designed by using a pair of memristors, which can represent ...