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Paper Abstract and Keywords
Presentation 2015-12-19 16:15
A Learning Method for Extended SpikeProp without Redundant Spikes -- A Discussion on Methods to Suppress Redundant Connections --
Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ.) NC2015-53
Abstract (in Japanese) (See Japanese page) 
(in English) SpikeProp, which is proposed by Booij, is a kind of spiking neural networks. It can learn the timing of output spikes, but cannot adjust the number of output spikes. Our research group has discussed the problem and proposed a learning method that can adjust both timing and number of spikes. However, its learning performance depends on the initial network structure (the number of hidden units, time delay, the number of sub-connections, and so on).
In this article, we discuss the problem, especially the number of sub-connections. And, we proposed the method that suppress unnecessary sub-connections during its training according to spike timing. By some simple experiments, we show the effectiveness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Spiking Neural Network / SpikeProp / Time Series Imformation Processing / Learning Algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 384, NC2015-53, pp. 43-48, Dec. 2015.
Paper # NC2015-53 
Date of Issue 2015-12-12 (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 NC2015-53

Conference Information
Committee MBE NC  
Conference Date 2015-12-19 - 2015-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2015-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Learning Method for Extended SpikeProp without Redundant Spikes 
Sub Title (in English) A Discussion on Methods to Suppress Redundant Connections 
Keyword(1) Spiking Neural Network  
Keyword(2) SpikeProp  
Keyword(3) Time Series Imformation Processing  
Keyword(4) Learning Algorithm  
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1st Author's Name Takashi Matsumoto  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Haruhiko Takase  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Hiroharu Kawanaka  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Shinji Tsuruoka  
4th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2015-12-19 16:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2015-53 
Volume (vol) vol.115 
Number (no) no.384 
Page pp.43-48 
#Pages 6 
Date of Issue 2015-12-12 (NC) 

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