A Multi-Stable Memristor and its Application in a Neural Network

被引：186

作者：

Lin, Hairong ^{[1
]}

Wang, Chunhua ^{[1
]}

Hong, Qinghui ^{[1
]}

Sun, Yichuang ^{[2
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China

[2] Univ Hertfordshire, Sch Engn & Comp Sci, Hatfield AL10 9AB, Herts, England

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2020年 / 67卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Memristors; Mathematical model; Integrated circuit modeling; Hysteresis; Neural networks; Numerical simulation; Multistability; memristor; circuit theory; neural networks; nonlinear circuits;

D O I：

10.1109/TCSII.2020.3000492

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Nowadays, there is a lot of study on memristor-based systems with multistability. However, there is no study on memristor with multistability. This brief constructs a mathematical memristor model with multistability. The origin of the multi-stable dynamics is revealed using standard nonlinear theory as well as circuit and system theory. Moreover, the multi-stable memristor is applied to simulate a synaptic connection in a Hopfield neural network. The memristive neural network successfully generates infinitely many coexisting chaotic attractors unobserved in previous Hopfield-type neural networks. The results are also confirmed in analog circuits based on commercially available electronic elements.

引用

页码：3472 / 3476

页数：5

共 50 条

[31] A Memristor Neural Network Using Synaptic Plasticity and Its Associative Memory
Yabo Wang
Guangyi Wang
Yiran Shen
Herbert Ho-Ching Iu
Circuits, Systems, and Signal Processing, 2020, 39 : 3496 - 3511
[32] Patterns and stability of coupled multi-stable nonlinear oscillators
Bel, G.
Alexandrov, B. S.
Bishop, A. R.
Rasmussen, K. O.
CHAOS SOLITONS & FRACTALS, 2023, 166
[33] Coexisting multi-stability of Hopfield neural network based on coupled fractional-order locally active memristor and its application in image encryption
Dawei Ding
Heng Xiao
Zongli Yang
Honglin Luo
Yongbing Hu
Xu Zhang
Yan Liu
Nonlinear Dynamics, 2022, 108 : 4433 - 4458
[34] LEARNING OF A MULTIVALUED NEURAL-NETWORK AND ITS APPLICATION
TAKIYAMA, R
KUBO, K
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 1993, E76A (06) : 873 - 877
[35] On global Lyapunov characterization of multi-stable nonlinear systems
Efimov, Denis
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 6299 - 6304
[36] A short-term memory of multi-stable perception
Pastukhov, Alexander
Braun, Jochen
JOURNAL OF VISION, 2008, 8 (13):
[37] Fuzzy neural network and its application to pattern recognition
Kwan, Hon Keung, 1600, IEEE, Piscataway, NJ, United States (02):
[38] Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption
Lai, Qiang
Wan, Zhiqiang
Zhang, Hui
Chen, Guanrong
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) : 7824 - 7837
[39] A hierarchical neural network and its application to image segmentation
Bhandarkar, SM
Koh, J
Suk, M
MATHEMATICS AND COMPUTERS IN SIMULATION, 1996, 41 (3-4) : 337 - 355
[40] Design and characterization of multi-stable mechanical metastructures with level and tilted stable configurations
Zhang, Yong
Wang, Qi
Tichem, Marcel
van Keulen, Fred
EXTREME MECHANICS LETTERS, 2020, 34

← 1 2 3 4 5 →