| Paper Abstract and Keywords |
| Presentation |
2012-01-19 11:20
[Poster Presentation]
Learning of Loop Neural Circuit Based on Pseudo-Random Sequence Takuya Kamimura, Yasushi Yagi (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Shinichi Tamura (NBL) MI2011-100 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/ propagated at each brain part where in each frequency band action potential information of time-to-time is transmitted to and processed at exact remote portion. Assuming the memory is composed of loop neural circuit in the cerebral cortex, we have also shown a feasibility of self organization of loop neural circuit for memory, association, and abstraction, which is algorithmically realizable and able to account well the time-shift map. The generated sequence from the transmitting loop corresponding to the memory is a code by pseudo random sequence including M-sequence which is now popular in spread spectrum communication or mobile CDMA. We give in this paper how a memory content expressed by loop circuit shape is copied to blank area of cerebral cortex etc. using simulation of small scale loop circuit model with 3-5 neuron cells and back-propagation learning algorithm. The model seems able to account well unifiedly the information processing function of the brain. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Brain information processing / Neural circuit / Loop circuit / Associative memory / Memory transcription / Abstraction / Back propagation learning / |
| Reference Info. |
IEICE Tech. Rep., vol. 111, no. 389, MI2011-100, pp. 127-132, Jan. 2012. |
| Paper # |
MI2011-100 |
| Date of Issue |
2012-01-12 (MI) |
| 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 |
MI2011-100 |
| Conference Information |
| Committee |
MI |
| Conference Date |
2012-01-19 - 2012-01-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MI |
| Conference Code |
2012-01-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Learning of Loop Neural Circuit Based on Pseudo-Random Sequence |
| Sub Title (in English) |
|
| Keyword(1) |
Brain information processing |
| Keyword(2) |
Neural circuit |
| Keyword(3) |
Loop circuit |
| Keyword(4) |
Associative memory |
| Keyword(5) |
Memory transcription |
| Keyword(6) |
Abstraction |
| Keyword(7) |
Back propagation learning |
| Keyword(8) |
|
| 1st Author's Name |
Takuya Kamimura |
| 1st Author's Affiliation |
Osaka University (Osaka Univ.) |
| 2nd Author's Name |
Yasushi Yagi |
| 2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
| 3rd Author's Name |
Yen-Wei Chen |
| 3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 4th Author's Name |
Shinichi Tamura |
| 4th Author's Affiliation |
NBL Technovator Co (NBL) |
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| Speaker |
Author-1 |
| Date Time |
2012-01-19 11:20:00 |
| Presentation Time |
30 minutes |
| Registration for |
MI |
| Paper # |
MI2011-100 |
| Volume (vol) |
vol.111 |
| Number (no) |
no.389 |
| Page |
pp.127-132 |
| #Pages |
6 |
| Date of Issue |
2012-01-12 (MI) |