Memristor Synapse-Driven Simplified Hopfield Neural Network: Hidden Dynamics, Attractor Control, and Circuit Implementation-Reference-Cited by-同舟云学术

Memristor Synapse-Driven Simplified Hopfield Neural Network: Hidden Dynamics, Attractor Control, and Circuit Implementation

Published:2024-05 Issue:5 Volume:71 Page:2308-2319
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Chen Chengjie¹^ORCID,Min Fuhong¹^ORCID,Cai Jianming²,Bao Han¹^ORCID

Affiliation:

1. School of Electrical and Automation Engineering, School of Computer and Electronic Information/ School of Artificial Intelligence, Nanjing Normal University, Nanjing, China

2. School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China

Funder

National Natural Science Foundation of China

Scientific Research Foundation of the Jiangsu Provincial Education Department, China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/10510354/10390538.pdf?arnumber=10390538

Reference43 articles.

1. Memristor-The missing circuit element

2. Memristor-Based Neural Network Circuit of Operant Conditioning Accorded With Biological Feature

3. Neuromorphic Dynamics of Chua Corsage Memristor

4. Cu-Doped TiO₂₋ _x Nanoscale Memristive Applications in Chaotic Circuit and True Random Number Generator

5. Locally Active Memristor-Based Neuromorphic Circuit: Firing Pattern and Hardware Experiment

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