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Paper Abstract and Keywords
Presentation 2021-03-03 15:35
A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model
Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51
Abstract (in Japanese) (See Japanese page) 
(in English) For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables clustering based on the ordinal relation of input pulses by simultaneously learning of the connection weights and delays of the pulse neuron model. However, clustering by supervised learning rule does not extract features inherent in the data. In this paper, We apply this learning rule to unsupervised learning to verify whether it is possible to perform clustering that captures the temporal characteristics of the arrival order relation of pulses.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / Pulsed neuron model / Time series information processing / Unsupervised learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 403, NC2020-51, pp. 47-52, March 2021.
Paper # NC2020-51 
Date of Issue 2021-02-24 (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 NC2020-51

Conference Information
Committee NC MBE  
Conference Date 2021-03-03 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neuro Computing, Medical Engineering, etc. 
Paper Information
Registration To NC 
Conference Code 2021-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) Pulsed neuron model  
Keyword(3) Time series information processing  
Keyword(4) Unsupervised learning  
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Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kaya Teramoto  
1st Author's Affiliation Nagoya Institute of Technology University (NIT)
2nd Author's Name Susumu Kuroyanagi  
2nd Author's Affiliation Nagoya Institute of Technology University (NIT)
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Speaker Author-1 
Date Time 2021-03-03 15:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2020-51 
Volume (vol) vol.120 
Number (no) no.403 
Page pp.47-52 
#Pages 6 
Date of Issue 2021-02-24 (NC) 

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