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Paper Abstract and Keywords
Presentation 2021-10-14 13:00
Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation
Hiromichi Furuya, Toshikazu Samura (Yamaguchi Univ) CAS2021-22 NLP2021-20
Abstract (in Japanese) (See Japanese page) 
(in English) A Liquid State Machine (LSM) realizes information processing by retaining past information in its recursive structure. Thus, the information retention capacity is important, but the information is gradually lost with time. On the other hand, it is considered that information which is spread once on Social Networking Service (SNS) is hard to be erased. In this study, we constructed LSMs that reproduce the network structure and the information diffusion of SNS as neuronal activity modulation, and confirmed that they improve the accuracy of a delayed readout task. Consequently, we suggest that the network structure and information diffusion of SNS improve the information retention capacity of LSMs.
Keyword (in Japanese) (See Japanese page) 
(in English) Liquid State Machine / Social Networking Service / Network Structure / Information Diffusion / Information Retention / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 197, NLP2021-20, pp. 29-34, Oct. 2021.
Paper # NLP2021-20 
Date of Issue 2021-10-07 (CAS, NLP) 
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 CAS2021-22 NLP2021-20

Conference Information
Committee CAS NLP  
Conference Date 2021-10-14 - 2021-10-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2021-10-CAS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation 
Sub Title (in English)  
Keyword(1) Liquid State Machine  
Keyword(2) Social Networking Service  
Keyword(3) Network Structure  
Keyword(4) Information Diffusion  
Keyword(5) Information Retention  
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1st Author's Name Hiromichi Furuya  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ)
2nd Author's Name Toshikazu Samura  
2nd Author's Affiliation Yamaguchi University (Yamaguchi Univ)
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Speaker Author-1 
Date Time 2021-10-14 13:00:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # CAS2021-22, NLP2021-20 
Volume (vol) vol.121 
Number (no) no.196(CAS), no.197(NLP) 
Page pp.29-34 
#Pages 6 
Date of Issue 2021-10-07 (CAS, NLP) 

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