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Paper Abstract and Keywords
Presentation 2016-11-04 11:15
Unsupervised Learning with Spike-Timing Dependent Delay Learning Model
Takashi Matsubara (Kobe Univ.) CCS2016-32
Abstract (in Japanese) (See Japanese page) 
(in English) Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in central nervous systems, and mimicking such system contributes to development of an efficient information processing chip requiring less energy and circuit area.
Adaptation of spike timing is also known as delay learning.
However, it still remains unclear how biological nervous system adjusts spike timing or what learning algorithm achieves a desired network structure.
This paper presents an unsupervised learning algorithm, which considers a simple spiking neural network as a probabilistic model and trains it according to EM algorithm.
Learning procedure shown in the presented algorithm is similar to those shown in previous physiological studies and a plausible model of biological delay learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Spiking Neural Network / Delay Learning / Unsupervised Learning / EM algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 285, CCS2016-32, pp. 13-16, Nov. 2016.
Paper # CCS2016-32 
Date of Issue 2016-10-28 (CCS) 
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 CCS2016-32

Conference Information
Committee CCS  
Conference Date 2016-11-04 - 2016-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Sangyo Univ. (Musubiwaza Bldg.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Interaction and Communication, etc. 
Paper Information
Registration To CCS 
Conference Code 2016-11-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised Learning with Spike-Timing Dependent Delay Learning Model 
Sub Title (in English)  
Keyword(1) Spiking Neural Network  
Keyword(2) Delay Learning  
Keyword(3) Unsupervised Learning  
Keyword(4) EM algorithm  
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1st Author's Name Takashi Matsubara  
1st Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2016-11-04 11:15:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2016-32 
Volume (vol) vol.116 
Number (no) no.285 
Page pp.13-16 
#Pages 4 
Date of Issue 2016-10-28 (CCS) 

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