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| Presentation | 2020-12-02 12:10 Brain type system using IGZO thin film synapses Yuki Onishi, Yuki Shibayama, Daiki Yamakawa (Ryukoku Univ.), Hiroya Ikeda, Yasuhiko Nakajima (NAIST), Mutumi Kimura (Ryukoku Univ./NAIST)  EID2020-7 SDM2020-41 Link to ES Tech. Rep. Archives: EID2020-7 SDM2020-41 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Neural networks have been actively studied as a future electronics technology. However, since the von Neumann-type arithmetic processing method cannot efficiently process a large amount of information, the neurocomputing method capable of parallel distributed processing is attracting attention. We are conducting research and development of neural networks using thin film devices. In this study, we created In-Ga-Zn-O (IGZO) thin film synapses for neural networks using LSI. We evaluated the synaptic properties of IGZO thin films and confirmed the basic operation of synaptic devices. We also succeeded in a character recognition experiment using the created device. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural network / IGZO thin film / Variable resistance element / Brain type integrated system / LSI / Neuron / Synapse / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 272, EID2020-7, pp. 25-28, Dec. 2020. | |
| Paper # | EID2020-7 | |
| Date of Issue | 2020-11-25 (EID, SDM) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | EID2020-7 SDM2020-41 Link to ES Tech. Rep. Archives: EID2020-7 SDM2020-41 |
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| Conference Information | |
| Committee | EID SDM ITE-IDY |
| Conference Date | 2020-12-02 - 2020-12-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EID |
| Conference Code | 2020-12-EID-SDM-IDY |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Brain type system using IGZO thin film synapses |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | IGZO thin film |
| Keyword(3) | Variable resistance element |
| Keyword(4) | Brain type integrated system |
| Keyword(5) | LSI |
| Keyword(6) | Neuron |
| Keyword(7) | Synapse |
| Keyword(8) | |
| 1st Author's Name | Yuki Onishi |
| 1st Author's Affiliation | Ryukoku University (Ryukoku Univ.) |
| 2nd Author's Name | Yuki Shibayama |
| 2nd Author's Affiliation | Ryukoku University (Ryukoku Univ.) |
| 3rd Author's Name | Daiki Yamakawa |
| 3rd Author's Affiliation | Ryukoku University (Ryukoku Univ.) |
| 4th Author's Name | Hiroya Ikeda |
| 4th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 5th Author's Name | Yasuhiko Nakajima |
| 5th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 6th Author's Name | Mutumi Kimura |
| 6th Author's Affiliation | Ryukoku University/Nara Institute of Science and Technology (Ryukoku Univ./NAIST) |
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| Speaker | Author-1 |
| Date Time | 2020-12-02 12:10:00 |
| Presentation Time | 15 minutes |
| Registration for | EID |
| Paper # | EID2020-7, SDM2020-41 |
| Volume (vol) | vol.120 |
| Number (no) | no.272(EID), no.273(SDM) |
| Page | pp.25-28 |
| #Pages | 4 |
| Date of Issue | 2020-11-25 (EID, SDM) |
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