Analog-circuit implementation of multiplicative spike-timing-dependent plasticity with linear decay-Reference-Cited by-同舟云学术

Analog-circuit implementation of multiplicative spike-timing-dependent plasticity with linear decay

Published:2021 Issue:4 Volume:12 Page:685-694
ISSN:2185-4106
Container-title:Nonlinear Theory and Its Applications, IEICE
language:en
Short-container-title:NOLTA

Author:

Moriya Satoshi¹^ORCID,Kato Tatsuki¹^ORCID,Oguchi Daisuke¹^ORCID,Yamamoto Hideaki¹^ORCID,Sato Shigeo¹^ORCID,Yuminaka Yasushi²^ORCID,Horio Yoshihiko¹^ORCID,Madrenas Jordi³^ORCID

Affiliation:

1. Research Institute of Electrical Communication, Tohoku University

2. Graduate School of Science and Technology, Gunma University

3. Department of Electronics Engineering, Polytechnic University of Catalonia

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.jstage.jst.go.jp/article/nolta/12/4/12_685/_pdf

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3. [3] H. Momose, T. Kaneko, and T. Asai, “Systems and circuits for AI chips and their trends,” Japanese Journal of Applied Physics, vol. 59, no. 5, 050502, 2020.

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5. [5] W. Nicola and C. Clopath, “Supervised learning in spiking neural networks with FORCE training,” Nature Communications, vol. 8, no. 1, pp. 1-15, 2017.

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