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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
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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)  
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)  
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  
5th Author's Affiliation 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
Date of Issue 2020-11-25 (EID, SDM) 


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