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Paper Abstract and Keywords
Presentation 2020-10-29 15:20
Unsupervised learning based on local interactions between reservoir and readout neurons
Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2020-12
Abstract (in Japanese) (See Japanese page) 
(in English) Reservoir computing is suitable for implementations in edge computing devices thanks to its low computational cost and ease of physical implementation. However, widely used learning methods, such as Ridge regression, require global information of reservoir states and readout layer. This makes it difficult to implement reservoir computing systems in edge computing devices based on analog devices and circuits. Spike-timing-dependent plasticity (STDP) is a learning method based solely on local information. In this study, we propose a reservoir computing model which can classify temporal patterns whose timescale is far longer than that of a reservoir. In order to obtain this property, we implement multiple conduction delays to readout synapses.
Keyword (in Japanese) (See Japanese page) 
(in English) STDP / reservoir computing / conduction delay / spiking neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 216, NC2020-12, pp. 21-23, Oct. 2020.
Paper # NC2020-12 
Date of Issue 2020-10-22 (NC) 
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 NC2020-12

Conference Information
Committee MBE NC NLP CAS  
Conference Date 2020-10-29 - 2020-10-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME，NC，CAS，NLP 
Paper Information
Registration To NC 
Conference Code 2020-10-MBE-NC-NLP-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised learning based on local interactions between reservoir and readout neurons 
Sub Title (in English)  
Keyword(1) STDP  
Keyword(2) reservoir computing  
Keyword(3) conduction delay  
Keyword(4) spiking neural network  
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1st Author's Name Tstuki Kato  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Satoshi Moriya  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Hideaki Yamamoto  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Masao Sakuraba  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Shigeo Sato  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2020-10-29 15:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2020-12 
Volume (vol) vol.120 
Number (no) no.216 
Page pp.21-23 
#Pages 3 
Date of Issue 2020-10-22 (NC) 

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