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Paper Abstract and Keywords
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
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

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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