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Paper Abstract and Keywords
Presentation 2012-06-28 11:10
A Computational Model for State Value Estimation in the Brain Using Two Kinds of Temporal Differences
Masanari Shinotsuka, Masahiko Morita (Univ. of Tsukuba) NC2012-5
Abstract (in Japanese) (See Japanese page) 
(in English) The basal ganglia has been considered to be deeply involved in reinforcement learning since Schultz et al. reported that the midbrain dopamine neurons show activities in accordance with temporal differences (TD). However, existing TD-learning models of the basal ganglia seem to assume some implausible neural mechanisms. We constructed a more plausible model for state value computation by introducing two kinds of TD signals: prospective and actual. Computer simulations on a simple reward prediction task showed that the prospective TD signal varies frequently depending on the short-term history of actions and rewards, and that longer-term state values can be acquired based on the actual TD signal which follows the prospective one with a smaller variation. This model leads to the hypothesis that these two TD signals may be encoded by different dopamine systems in the midbrain.
Keyword (in Japanese) (See Japanese page) 
(in English) reinforcement learning / temporal difference / state value function / basal ganglia / dopamine neurons / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 108, NC2012-5, pp. 25-30, June 2012.
Paper # NC2012-5 
Date of Issue 2012-06-21 (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 NC2012-5

Conference Information
Committee NC IPSJ-BIO  
Conference Date 2012-06-28 - 2012-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST, Okinawa 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2012-06-NC-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Computational Model for State Value Estimation in the Brain Using Two Kinds of Temporal Differences 
Sub Title (in English)  
Keyword(1) reinforcement learning  
Keyword(2) temporal difference  
Keyword(3) state value function  
Keyword(4) basal ganglia  
Keyword(5) dopamine neurons  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Masanari Shinotsuka  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Masahiko Morita  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2012-06-28 11:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2012-5 
Volume (vol) vol.112 
Number (no) no.108 
Page pp.25-30 
#Pages 6 
Date of Issue 2012-06-21 (NC) 

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