| Paper Abstract and Keywords |
| Presentation |
2008-03-14 13:40
Temporal and Operant Learning Models by Neural System Yukifumi Shigematsu (Ehime Univ.) NC2007-193 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Brain or central nerve system is a kind of information processing system which is differ from artificial computer one. A computer system has been made good progress by using the high-speed LSI technology and mass storage, however a nerve system has a slow-speed processing neuron and nonlinear element which can treats real-time information processing. In this paper, we discuss about some dynamic or predictive functions in a nerve system , and propose models of a pulse neuron model, a temporal learning rule and a operant learning method of a neuron network. By using these rule and method, we proposed a temporal sequence associative memory network and an optimal action learning process. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Synaptic plasticity / STDP / Temporal association / Reinforcement learning / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 107, no. 542, NC2007-193, pp. 479-484, March 2008. |
| Paper # |
NC2007-193 |
| Date of Issue |
2008-03-05 (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 |
NC2007-193 |
| Conference Information |
| Committee |
NC MBE |
| Conference Date |
2008-03-12 - 2008-03-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tamagawa Univ |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
NC |
| Conference Code |
2008-03-NC-MBE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Temporal and Operant Learning Models by Neural System |
| Sub Title (in English) |
|
| Keyword(1) |
Synaptic plasticity |
| Keyword(2) |
STDP |
| Keyword(3) |
Temporal association |
| Keyword(4) |
Reinforcement learning |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Yukifumi Shigematsu |
| 1st Author's Affiliation |
Ehime University (Ehime Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2008-03-14 13:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
NC |
| Paper # |
NC2007-193 |
| Volume (vol) |
vol.107 |
| Number (no) |
no.542 |
| Page |
pp.479-484 |
| #Pages |
6 |
| Date of Issue |
2008-03-05 (NC) |