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Paper Abstract and Keywords
Presentation 2012-07-31 11:35
A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory
Daiki Futagi, Ryota Kobayashi, Katsunori Kitano (Ritsumeikan Univ) NC2012-28
Abstract (in Japanese) (See Japanese page) 
(in English) Bayesian estimation theory has been expected to explain how brain deals with uncertainty such as feature extraction against noisy observations. It has been implied that the neural networks that model cortical network could implement the Bayesian estimation algorithm by several previous studies. However, it is still unclear whether it is possible to implement the required computational procedures of the algorithm under physiological and anatomical constraints of the neural systems. We here propose the neural network that implements the algorithm in a biologically plausible manner, incorporating the discrete choice theory into the previously proposed model. Our model successfully demonstrated an orientation discrimination task with significantly noisy visual images.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian estimation theory / neural network / discrete choice theory / normalization / log-normal distribution / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 168, NC2012-28, pp. 77-82, July 2012.
Paper # NC2012-28 
Date of Issue 2012-07-23 (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 NC2012-28

Conference Information
Committee NC  
Conference Date 2012-07-30 - 2012-07-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Ritsumeikan Univ. College of Information Science and Engineering 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NC 
Conference Code 2012-07-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory 
Sub Title (in English)  
Keyword(1) Bayesian estimation theory  
Keyword(2) neural network  
Keyword(3) discrete choice theory  
Keyword(4) normalization  
Keyword(5) log-normal distribution  
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Keyword(8)  
1st Author's Name Daiki Futagi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
2nd Author's Name Ryota Kobayashi  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
3rd Author's Name Katsunori Kitano  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
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Speaker Author-1 
Date Time 2012-07-31 11:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2012-28 
Volume (vol) vol.112 
Number (no) no.168 
Page pp.77-82 
#Pages 6 
Date of Issue 2012-07-23 (NC) 

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