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Paper Abstract and Keywords
Presentation 2010-06-18 16:50
An effecs of inhibitory connections on synchronization firing assembly in the inhibitory connected pulse coupled neural networks
Masahiro Yoshihara, Masato Yonekawa, Hiroaki Kurokawa (Tokyo Univ. of Tech.) NLP2010-13 NC2010-13
Abstract (in Japanese) (See Japanese page) 
(in English) The Pulse Coupled Neural Network (PCNN) had been proposed as a model of visual cortex and a lot of applications to the image processing have been proposed recently. Authors also have been proposed Inhibitory Connected PCNN (IC-PCNN) which shows good performances for the color image processing. The IC-PCNN is an extended model of the PCNN model which consists of neurons, conventional PCNN connections and inhibitory connections. In our recent study, we have been shown that the IC-PCNN can obtain successful results for the color image segmentation.
In this study, we focus the color image segmentation of the noise added image and we show that an optimum of inhibitory connections to avoid an effect of the noise in the image exists. In other words, we show that the optimization of the inhibitory connection is valid for the color image segmentation.
Also, we show the effect of the inhibitory connections to the characteristics of synchronous firing assembly using numerical experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) pulse coupled neural network / inhibitory connection / synchronous firing assembly / image segmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 82, NLP2010-13, pp. 81-86, June 2010.
Paper # NLP2010-13 
Date of Issue 2010-06-11 (NLP, NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NLP2010-13 NC2010-13

Conference Information
Committee NC NLP IPSJ-BIO  
Conference Date 2010-06-18 - 2010-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning for bio-datamining 
Paper Information
Registration To NLP 
Conference Code 2010-06-NC-NLP-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An effecs of inhibitory connections on synchronization firing assembly in the inhibitory connected pulse coupled neural networks 
Sub Title (in English)  
Keyword(1) pulse coupled neural network  
Keyword(2) inhibitory connection  
Keyword(3) synchronous firing assembly  
Keyword(4) image segmentation  
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1st Author's Name Masahiro Yoshihara  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
2nd Author's Name Masato Yonekawa  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
3rd Author's Name Hiroaki Kurokawa  
3rd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
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Speaker Author-3 
Date Time 2010-06-18 16:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2010-13, NC2010-13 
Volume (vol) vol.110 
Number (no) no.82(NLP), no.83(NC) 
Page pp.81-86 
#Pages 6 
Date of Issue 2010-06-11 (NLP, NC) 

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