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Paper Abstract and Keywords
Presentation 2018-03-13 13:35
A supervised learning rule of the pulsed neuron model for the arrival order recognition of the pulses
Yuka Shimomura, Susumu Kuroyanagi (NIT) NC2017-73
Abstract (in Japanese) (See Japanese page) 
(in English) This research aims at extracting temporally large features in order to enable recognition of time series information. In order to realize it, we think that a stacked autoencoder can be applied to time series information processing by using a pulsed neuron model, and can compress spatial and temporal information simultaneously. Therefore, we propose a new supervised learning rule of pulsed neuron model for application to autoencoder. In the proposed learning rule, the connection weights and delays are simultaneously learned. Therefore, it enables clustering by the arrival order recognition of the pulses, and it enables extraction of effective temporal features.
Keyword (in Japanese) (See Japanese page) 
(in English) Time series information processing / Neural network / Pulsed neuron model / Supervised learning rule / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 508, NC2017-73, pp. 33-38, March 2018.
Paper # NC2017-73 
Date of Issue 2018-03-06 (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 NC2017-73

Conference Information
Committee MBE NC  
Conference Date 2018-03-13 - 2018-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To NC 
Conference Code 2018-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A supervised learning rule of the pulsed neuron model for the arrival order recognition of the pulses 
Sub Title (in English)  
Keyword(1) Time series information processing  
Keyword(2) Neural network  
Keyword(3) Pulsed neuron model  
Keyword(4) Supervised learning rule  
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1st Author's Name Yuka Shimomura  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Susumu Kuroyanagi  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2018-03-13 13:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2017-73 
Volume (vol) vol.117 
Number (no) no.508 
Page pp.33-38 
#Pages 6 
Date of Issue 2018-03-06 (NC) 

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