Emerging memristors and applications in reservoir computing-Reference-Cited by-同舟云学术

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Emerging memristors and applications in reservoir computing

Published:2023-11-28 Issue:1 Volume:19 Page:
ISSN:2095-0462
Container-title:Frontiers of Physics
language:en
Short-container-title:Front. Phys.

Author:

Chen Hao,Tang Xin-Gui,Shen Zhihao,Guo Wen-Tao,Sun Qi-Jun,Tang Zhenhua,Jiang Yan-Ping

Publisher

Springer Science and Business Media LLC

Subject

Physics and Astronomy (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s11467-023-1335-x.pdf

Reference100 articles.

1. J. Misra and I. Saha, Artificial neural networks in hardware: A survey of two decades of progress, Neurocomputing 74(1–3), 239 (2010)

2. Z. Liu, J. Tang, B. Gao, X. Li, P. Yao, Y. Lin, D. Liu, B. Hong, H. Qian, and H. Wu, Multichannel parallel processing of neural signals in memristor arrays, Sci. Adv. 6(41), eabc4797 (2020)

3. W. Wang and G. Zhou, Moisture influence in emerging neuromorphic device, Front. Phys. 18(5), 53601 (2023)

4. S. Ke, L. Jiang, Y. Zhao, Y. Xiao, B. Jiang, G. Cheng, F. Wu, G. Cao, Z. Peng, M. Zhu, and C. Ye, Brainlike synaptic memristor based on lithium-doped silicate for neuromorphic computing, Front. Phys. 17(5), 53508 (2022)

5. J. J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proc. Natl. Acad. Sci. USA 79(8), 2554 (1982)

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