Performance Improvement of Memristor-Based Echo State Networks by Optimized Programming Scheme

Author:

Yu Jie1,Sun Wenxuan1,Lai Jinru1,Zheng Xu1,Dong Danian1ORCID,Luo Qing1ORCID,Lv Hangbing1ORCID,Xu Xiaoxin1ORCID

Affiliation:

1. Key Laboratory of Microelectronics Device & Integrated Technology, Institute of Microelectronics of Chinese Academy of Sciences, Beijing, China

Funder

MOST of China

NSFC

Strategic Priority Research Program of the Chinese Academy of Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. Investigations of the staircase memristor model and applications of memristor-based local connections

2. Echo state graph neural networks with analogue random resistor arrays;wang;arXiv 2112 15270,2021

3. First demonstration of OxRRAM integration on 14 nm FinFet platform and scaling potential analysis towards sub-10 nm node;xu;IEDM Tech Dig,2020

4. Oscillation and Chaos in Physiological Control Systems

5. Identification and control of dynamical systems using neural networks

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1. ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12

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3. Sequence prediction with different dimensions based on two novel deep echo state network models;Transactions of the Institute of Measurement and Control;2023-10-21

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