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Paper Abstract and Keywords
Presentation 2009-07-14 13:30
Analysis for Stability of Attractor Neural Network Model for IT Cortex -- Relation between attractor's stability and learning order --
Tomoyuki Kimoto (Oita Col. Tech.), Tatsuya Uezu (Nara Women's Univ.), Masato Okada (niv. of Tokyo,) NLP2009-39 NC2009-32
Abstract (in Japanese) (See Japanese page) 
(in English) In the model proposed by Amit et al. to explain the Miyashita's physiologic findings, the attractors that are mixtures of consecutively learned memory patterns become equilibrium states. It is thought that it is significant to store the relation information between the memory patterns as the correlated attractor in the brain, since the memory patterns continuously observed must be had mutually relation. On the other hand, when it is continuously observed the memory patterns coded the object images accidentally located in neighborhood, it is necessary to store each memory patterns individually. continuousness learning order. In this study, we examined the attractor's stability in the Amit model, when the learning order of the memory patterns gradually changes from same order to random presentation. As the result, we found that the acquired attractors change into the memory patterns from the correlated attractors via the the symmetrical mixed sates.
Keyword (in Japanese) (See Japanese page) 
(in English) IT-cortex, / Miyashita's physiologic experiment / Amit's model / correlated attractor / learning order / stability / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 125, NC2009-32, pp. 133-138, July 2009.
Paper # NC2009-32 
Date of Issue 2009-07-06 (NLP, NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NLP  
Conference Date 2009-07-13 - 2009-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) NAIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2009-07-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis for Stability of Attractor Neural Network Model for IT Cortex 
Sub Title (in English) Relation between attractor's stability and learning order 
Keyword(1) IT-cortex,  
Keyword(2) Miyashita's physiologic experiment  
Keyword(3) Amit's model  
Keyword(4) correlated attractor  
Keyword(5) learning order  
Keyword(6) stability  
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Keyword(8)  
1st Author's Name Tomoyuki Kimoto  
1st Author's Affiliation Oita National College of Technology (Oita Col. Tech.)
2nd Author's Name Tatsuya Uezu  
2nd Author's Affiliation Nara Women's University (Nara Women's Univ.)
3rd Author's Name Masato Okada  
3rd Author's Affiliation niversity of Tokyo, (niv. of Tokyo,)
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Speaker Author-1 
Date Time 2009-07-14 13:30:00 
Presentation Time 30 minutes 
Registration for NC 
Paper # NLP2009-39, NC2009-32 
Volume (vol) vol.109 
Number (no) no.124(NLP), no.125(NC) 
Page pp.133-138 
#Pages
Date of Issue 2009-07-06 (NLP, NC) 


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