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Paper Abstract and Keywords
Presentation 2022-08-18 15:20
Neuromorphic computing using photo-induced current properties in ITO/Nb:SrTiO3 junction -- For reservoir computing application --
Yutaro Yamazaki, Hiroyuki Kai, Kentaro Kinoshita (Tokyo Univ. of Sci.) ED2022-21
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, needs for edge computing have been increasing, and methods to reduce computational cost while maintaining high learning performance have been required. One of the candidates is physical reservoir computing (PRC). We propose a PRC device that utilizes the photo-induced current properties of the ITO/Nb:SrTiO$_3$ junction as a reservoir. In this study, we show that the transient photo-induced current properties of the ITO/Nb:SrTiO$_3$ junction can be electrically controlled. To evaluate the device's PRC performance, we converted image data into pseudo-time series signals and performed a classification task, which revealed that the learning was optimized by matching the timescale of the device's transient response to that of the input signal. These results indicate the possibility of using the ITO/Nb:SrTiO$_{3}$ junction as a PRC device to realize an optical learning edge AI device that can learn a wide range of signals with a single device.
Keyword (in Japanese) (See Japanese page) 
(in English) reservoir computing / neuromorphic computing / SrTiO3 / artificial optoelectronic synapse / resistive random access memory / memristor / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 152, ED2022-21, pp. 17-20, Aug. 2022.
Paper # ED2022-21 
Date of Issue 2022-08-11 (ED) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee ED IEE-BMS IEE-MSS  
Conference Date 2022-08-18 - 2022-08-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. B3-2 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ED 
Conference Code 2022-08-ED-BMS-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neuromorphic computing using photo-induced current properties in ITO/Nb:SrTiO3 junction 
Sub Title (in English) For reservoir computing application 
Keyword(1) reservoir computing  
Keyword(2) neuromorphic computing  
Keyword(3) SrTiO3  
Keyword(4) artificial optoelectronic synapse  
Keyword(5) resistive random access memory  
Keyword(6) memristor  
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1st Author's Name Yutaro Yamazaki  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Sci.)
2nd Author's Name Hiroyuki Kai  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Sci.)
3rd Author's Name Kentaro Kinoshita  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Sci.)
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Speaker Author-1 
Date Time 2022-08-18 15:20:00 
Presentation Time 25 minutes 
Registration for ED 
Paper # ED2022-21 
Volume (vol) vol.122 
Number (no) no.152 
Page pp.17-20 
#Pages
Date of Issue 2022-08-11 (ED) 


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