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Paper Abstract and Keywords
Presentation 2011-10-20 13:35
Statistical mechanics of the sparsely encoded Hopfield model with unit replacement
Ryota Miyata, Jiro Maekawa (TITECH), Koji Kurata (Univ. Ryukyu), Toru Aonishi (TITECH) NC2011-64
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, the sparsely encoded Hopfield model with unit replacement is analyzed by a statical mechanics, self-consistent signal-to-noise analysis (SCSNA).
Using the SCSNA and the computer simulation, we show the relation between the storage capacity and the number of replacement units at each sparseness.

Moreover, we compare the unit replacement procedure with the forgetting process, which avoids overloading as well as the unit replacement.
Results show that the unit replacement model has a finite value of the optimal sparseness to maximize the storage capacity for the large number of replacement units, although the forgetting process model does not.
Keyword (in Japanese) (See Japanese page) 
(in English) neurogenesis / unit replacement / associative memory / sparse coding / overloading / statistical mechanics / self-consistent signal-to-noise analysis / forgetting process  
Reference Info. IEICE Tech. Rep., vol. 111, no. 241, NC2011-64, pp. 113-118, Oct. 2011.
Paper # NC2011-64 
Date of Issue 2011-10-12 (NC) 
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 NC2011-64

Conference Information
Committee NC  
Conference Date 2011-10-19 - 2011-10-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Ohashi Campus, Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Implementation of neurocomputing, modeling for human science, and general 
Paper Information
Registration To NC 
Conference Code 2011-10-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Statistical mechanics of the sparsely encoded Hopfield model with unit replacement 
Sub Title (in English)  
Keyword(1) neurogenesis  
Keyword(2) unit replacement  
Keyword(3) associative memory  
Keyword(4) sparse coding  
Keyword(5) overloading  
Keyword(6) statistical mechanics  
Keyword(7) self-consistent signal-to-noise analysis  
Keyword(8) forgetting process  
1st Author's Name Ryota Miyata  
1st Author's Affiliation Tokyo Institute of Technology (TITECH)
2nd Author's Name Jiro Maekawa  
2nd Author's Affiliation Tokyo Institute of Technology (TITECH)
3rd Author's Name Koji Kurata  
3rd Author's Affiliation University of the Ryukyus (Univ. Ryukyu)
4th Author's Name Toru Aonishi  
4th Author's Affiliation Tokyo Institute of Technology (TITECH)
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Speaker Author-1 
Date Time 2011-10-20 13:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2011-64 
Volume (vol) vol.111 
Number (no) no.241 
Page pp.113-118 
#Pages 6 
Date of Issue 2011-10-12 (NC) 

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