Paper Abstract and Keywords |
Presentation |
2020-12-02 11:55
Investigation of oxide semiconductor thin film synapse using STDP learning method Tetsuya Katagiri, Daiki Yamakawa, Kenta Yatida, Kazuki Morigaki, Mutsumi Kimura (Ryukoku Univ.) EID2020-6 SDM2020-40 Link to ES Tech. Rep. Archives: EID2020-6 SDM2020-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Neuromorphic hardware is expected as low power consumption and high performance hardware that does not have the power consumption and robustness problems of artificial intelligence running on current von Neumann computers.
In previous research, we succeeded in character recognition learning using a device that uses amorphous In-Ga-Zn-O(a-IGZO), which is an oxide semiconductor, as a synaptic element.
In this study, we investigated whether a-IGZO can be used as a synaptic element in a spiking neural network(SNN) that using spike timing-dependent plasticity (STDP) with the aim of further reducing power consumption and improving performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural Network / Neuromorphic / Synapse / Spike Timing Dependent Plasticity / IGZO / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 272, EID2020-6, pp. 21-24, Dec. 2020. |
Paper # |
EID2020-6 |
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 |
EID2020-6 SDM2020-40 Link to ES Tech. Rep. Archives: EID2020-6 SDM2020-40 |
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) |
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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) |
Investigation of oxide semiconductor thin film synapse using STDP learning method |
Sub Title (in English) |
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Keyword(1) |
Neural Network |
Keyword(2) |
Neuromorphic |
Keyword(3) |
Synapse |
Keyword(4) |
Spike Timing Dependent Plasticity |
Keyword(5) |
IGZO |
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1st Author's Name |
Tetsuya Katagiri |
1st Author's Affiliation |
Ryukoku University (Ryukoku Univ.) |
2nd Author's Name |
Daiki Yamakawa |
2nd Author's Affiliation |
Ryukoku University (Ryukoku Univ.) |
3rd Author's Name |
Kenta Yatida |
3rd Author's Affiliation |
Ryukoku University (Ryukoku Univ.) |
4th Author's Name |
Kazuki Morigaki |
4th Author's Affiliation |
Ryukoku University (Ryukoku Univ.) |
5th Author's Name |
Mutsumi Kimura |
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Ryukoku University (Ryukoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-12-02 11:55:00 |
Presentation Time |
15 minutes |
Registration for |
EID |
Paper # |
EID2020-6, SDM2020-40 |
Volume (vol) |
vol.120 |
Number (no) |
no.272(EID), no.273(SDM) |
Page |
pp.21-24 |
#Pages |
4 |
Date of Issue |
2020-11-25 (EID, SDM) |
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