Heuristic model for configurable polymer wire synaptic devices

Amemiya, Yoshiki; Jose, Ali Emiliano; Hagiwara, Naruki; Akai-Kasaya, Megumi; Asai, Tetsuya

Heuristic model for configurable polymer wire synaptic devices

Amemiya, Yoshiki; Jose, Ali Emiliano; Hagiwara, Naruki et al.

Nonlinear theory and its applications, IEICE, 2022, 13(2), 379-384

Permalink : https://hdl.handle.net/2115/85557

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/85557
タイトル	Heuristic model for configurable polymer wire synaptic devices
著者	Amemiya, Yoshiki ; Jose, Ali Emiliano ; Hagiwara, Naruki ; Akai-Kasaya, Megumi ; Asai, Tetsuya
著者名 Amemiya, Yoshiki
著者名 Jose, Ali Emiliano
著者名 Hagiwara, Naruki
e-Rad_Researcher 50437373 著者名 Akai-Kasaya, Megumi
e-Rad_Researcher 00312380 著者名 Asai, Tetsuya
言語	英語
キーワード	analog ai
	nonvolatile analog devices
	organic polymers
	three-dimensional ai devices
発行日	2022
出版者	IEICE - Institute of the Electronics, Information and Communication Engineers
収録物名	Nonlinear theory and its applications, IEICE
巻(号)	13(2)
ページ	379-384
抄録	Recently, there has been considerable research on nonvolatile analog devices for artificial intelligence (AI); however, it focuses on all-coupled neural networks. In contrast, polymer wire-type synaptic devices, which can be expected to be arbitrarily wired similar to a biological neural network, have already been proposed and demonstrated. In this study, we model a polymer wire synaptic device based on the results of previous research, and demonstrate an example of applying simple perceptron (AI) to the model. The results of our study show that it is possible to predict effective methods of using polymer wire synaptic elements in AI.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Copyright ©2022 The Institute of Electronics, Information and Communication Engineers
PISSN	2185-4106
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1587/nolta.13.379