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Paper Abstract and Keywords
Presentation 2008-11-07 15:20
Neural network model with discrete and continuous information representation
Jun Kitazono (Univ. of Tokyo), Toshiaki Omori, Masato Okada (Univ. of Tokyo/RIKEN) NC2008-61
Abstract (in Japanese) (See Japanese page) 
(in English) An associative memory model and a neural network model with Mexican-hat type interaction are the two most typical attractor networks in the artificial neural network models. The associative memory model has discretely distributed fixed-point attractors, and realizes discrete information representation. On the other hand, the neural network model with Mexican-hat type interaction realizes continuous information representation by a line attractor, seen in working memory in the prefrontal cortex and columnar activity in the visual cortex. In the present study, we propose a neural network model which realizes discrete and continuous information representation. By analysis based on statistical mechanics, we find that the localized retrieval phase exists in the proposed model, where a memory pattern is retrieved in localized subpopulation of the network. In the localized retrieval phase, the discrete and continuous information representation is realized by orthogonality of memory patterns and neutral stability of fixed points along positions of the localized retrieval. The obtained phase diagram suggests that the anti-ferromagnetic interaction and the external field are important to generate the localized retrieval phase.
Keyword (in Japanese) (See Japanese page) 
(in English) Mexican-hat type interaction / Associative memory model / Localized activity / Statistical mechanics / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 281, NC2008-61, pp. 13-18, Nov. 2008.
Paper # NC2008-61 
Date of Issue 2008-10-31 (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)
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Conference Information
Committee NC  
Conference Date 2008-11-07 - 2008-11-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Saga Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2008-11-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural network model with discrete and continuous information representation 
Sub Title (in English)  
Keyword(1) Mexican-hat type interaction  
Keyword(2) Associative memory model  
Keyword(3) Localized activity  
Keyword(4) Statistical mechanics  
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1st Author's Name Jun Kitazono  
1st Author's Affiliation University of Tokyo (Univ. of Tokyo)
2nd Author's Name Toshiaki Omori  
2nd Author's Affiliation University of Tokyo/RIKEN (Univ. of Tokyo/RIKEN)
3rd Author's Name Masato Okada  
3rd Author's Affiliation University of Tokyo/RIKEN (Univ. of Tokyo/RIKEN)
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Speaker Author-1 
Date Time 2008-11-07 15:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2008-61 
Volume (vol) vol.108 
Number (no) no.281 
Page pp.13-18 
#Pages 6 
Date of Issue 2008-10-31 (NC) 

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