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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Heuristic model for configurable polymer wire synaptic devices
| Title: | Heuristic model for configurable polymer wire synaptic devices |
| Authors: | Amemiya, Yoshiki Browse this author | | Jose, Ali Emiliano Browse this author | | Hagiwara, Naruki Browse this author | | Akai-Kasaya, Megumi Browse this author →KAKEN DB | | Asai, Tetsuya Browse this author →KAKEN DB |
| Keywords: | analog ai | | nonvolatile analog devices | | organic polymers | | three-dimensional ai devices |
| Issue Date: | 2022 |
| Publisher: | IEICE - Institute of the Electronics, Information and Communication Engineers |
| Journal Title: | Nonlinear theory and its applications, IEICE |
| Volume: | 13 |
| Issue: | 2 |
| Start Page: | 379 |
| End Page: | 384 |
| Publisher DOI: | 10.1587/nolta.13.379 |
| Abstract: | 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. |
| Rights: | Copyright ©2022 The Institute of Electronics, Information and Communication Engineers |
| Type: | article |
| URI: | http://hdl.handle.net/2115/85557 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 浅井 哲也
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