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Paper Abstract and Keywords
Presentation 2016-12-12 16:15
Characterization of planar synapses with GTO thin films
Keisuke Ikushima, Kenta Umeda, Tokiyoshi Matsuda, Mutsumi Kimura (Ryukoku Univ.) EID2016-27 SDM2016-108
Abstract (in Japanese) (See Japanese page) 
(in English) Neural networks are information processing models based on the human brain, and they have been activity studied.
However, it is necessary to cases the high integration in order to sophisticate leaning neural network hardware.
In this study, we fabricated synapses of the neural network using the GTO thin films.
The synapses is plannar type, and it is assumed that they are stacked on the LSI surface.
It was found that the synapses have a degradation characteristic that can be applied to modify Hebbian leaning rule.
Keyword (in Japanese) (See Japanese page) 
(in English) Oxide semiconductor / Synapses / LSI / Neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 355, SDM2016-108, pp. 81-84, Dec. 2016.
Paper # SDM2016-108 
Date of Issue 2016-12-05 (EID, SDM) 
ISSN Print edition: ISSN 0913-5685    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 EID2016-27 SDM2016-108

Conference Information
Committee SDM EID  
Conference Date 2016-12-12 - 2016-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) NAIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Fabrication and Evaluation of Silicon Related Materials 
Paper Information
Registration To SDM 
Conference Code 2016-12-SDM-EID 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Characterization of planar synapses with GTO thin films 
Sub Title (in English)  
Keyword(1) Oxide semiconductor  
Keyword(2) Synapses  
Keyword(3) LSI  
Keyword(4) Neural network  
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Keyword(6)  
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Keyword(8)  
1st Author's Name Keisuke Ikushima  
1st Author's Affiliation Ryukoku University (Ryukoku Univ.)
2nd Author's Name Kenta Umeda  
2nd Author's Affiliation Ryukoku University (Ryukoku Univ.)
3rd Author's Name Tokiyoshi Matsuda  
3rd Author's Affiliation Ryukoku University (Ryukoku Univ.)
4th Author's Name Mutsumi Kimura  
4th Author's Affiliation Ryukoku University (Ryukoku Univ.)
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Speaker Author-1 
Date Time 2016-12-12 16:15:00 
Presentation Time 15 minutes 
Registration for SDM 
Paper # EID2016-27, SDM2016-108 
Volume (vol) vol.116 
Number (no) no.354(EID), no.355(SDM) 
Page pp.81-84 
#Pages 4 
Date of Issue 2016-12-05 (EID, SDM) 

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