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) |
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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) |
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Keyword(1) |
reinforcement learning |
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temporal difference |
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state value function |
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basal ganglia |
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dopamine neurons |
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1st Author's Name |
Masanari Shinotsuka |
1st Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
2nd Author's Name |
Masahiko Morita |
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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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