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Paper Abstract and Keywords
Presentation 2017-10-07 10:55
Robust memory capacity in echo state networks with a small-world topology
Yuji Kawai, Jihoon Park, Minoru Asada (Osaka Univ.) NC2017-20
Abstract (in Japanese) (See Japanese page) 
(in English) A small-world (SW) topology was found in the cortical neural connectivity. However, the role of the topology in neural information processing has been left unclear. We investigate the memory capacity of an echo state network (ESN) within the SW topology. In order to elucidate the potential of the SW topology, we limit the number of the input and output nodes in the ESN, segregate output nodes from input ones, and add noise to input nodes. The SW-ESN maintained the memory capacity even when the input and output nodes were segregated. This memory capacity was larger and more robust against the input noise than that of the ESN with random connectivity. These results suggest that the SW topology is essential for holding large memory capacity between input and output regions under sensor noise.
Keyword (in Japanese) (See Japanese page) 
(in English) echo state network / small-world network / reservoir computing / recurrent neural network / memory capacity / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 231, NC2017-20, pp. 1-6, Oct. 2017.
Paper # NC2017-20 
Date of Issue 2017-09-30 (NC) 
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 NC2017-20

Conference Information
Committee MBE NC  
Conference Date 2017-10-07 - 2017-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To NC 
Conference Code 2017-10-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust memory capacity in echo state networks with a small-world topology 
Sub Title (in English)  
Keyword(1) echo state network  
Keyword(2) small-world network  
Keyword(3) reservoir computing  
Keyword(4) recurrent neural network  
Keyword(5) memory capacity  
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Keyword(8)  
1st Author's Name Yuji Kawai  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Jihoon Park  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Minoru Asada  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2017-10-07 10:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2017-20 
Volume (vol) vol.117 
Number (no) no.231 
Page pp.1-6 
#Pages 6 
Date of Issue 2017-09-30 (NC) 

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