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Paper Abstract and Keywords
Presentation 2019-03-05 11:10
Unsupervised blind source separation using self conditioned entropy minimization
Yuan-chieh Ling, Toshitake Asabuki (UTokyo), Tomoki Fukai (RIKEN CBS) NC2018-67
Abstract (in Japanese) (See Japanese page) 
(in English) Unsupervised blind source separation refers to extracting underlying source signals from mixed signals without additional information, which is a function that parts of the neural systems perform. In this study, we proposed a framework composed of a feedforward spiking neural network model with a learning algorithm which minimizes the entropy of the distribution of output spikes conditioned on that of the input spikes, and the performance of the framework for unsupervised blind source separation tasks was evaluated under different settings.
Keyword (in Japanese) (See Japanese page) 
(in English) Blind Source Separation / Spiking Neural Network / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 470, NC2018-67, pp. 127-129, March 2019.
Paper # NC2018-67 
Date of Issue 2019-02-25 (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 NC2018-67

Conference Information
Committee NC MBE  
Conference Date 2019-03-04 - 2019-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2019-03-NC-MBE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised blind source separation using self conditioned entropy minimization 
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Keyword(1) Blind Source Separation  
Keyword(2) Spiking Neural Network  
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1st Author's Name Yuan-chieh Ling  
1st Author's Affiliation Tokyo University (UTokyo)
2nd Author's Name Toshitake Asabuki  
2nd Author's Affiliation Tokyo University (UTokyo)
3rd Author's Name Tomoki Fukai  
3rd Author's Affiliation RIKEN Centre for Brain Science (RIKEN CBS)
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Speaker Author-1 
Date Time 2019-03-05 11:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2018-67 
Volume (vol) vol.118 
Number (no) no.470 
Page pp.127-129 
#Pages
Date of Issue 2019-02-25 (NC) 


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