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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
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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)  
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
Date of Issue 2012-01-12 (MI) 


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