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Paper Abstract and Keywords
Presentation 2014-01-20 10:25
Hodgkin Huxley Type Model Parameter Estimation for Single Neuron via Massively Parallel RCGA -- Application to the Silkmoth Antennal Lobe Neuron --
Akihiko Goto, Tomoki Kazawa, Daisuke Miyamoto (Univ. of Tokyo), Stephan Shuichi Haupt (Bielefeld Univ.), Yusuke Mori, Ryohei Kanzaki (Univ. of Tokyo) NC2013-68
Abstract (in Japanese) (See Japanese page) 
(in English) It is necessary to estimate model parameters of a neuron to simulate electrical activity of the neuron on a computer. We previously estimated model parameters of virtual neurons via massively parallel Real-Coded Genetic Algorithm (RCGA) implemented on K computer. In this paper, this algorithm was applied to a real projection neuron of a silkmoth antennal lobe and model parameters were estimated. As a result of the experiments, we confirmed the advantage of multi-compartment model over single compartment model.
Keyword (in Japanese) (See Japanese page) 
(in English) Real-coded genetic algorithm / Insect brain simulation / Antennal lobe of silkmoth / Massively parallel computing / Multi-compartment model / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 382, NC2013-68, pp. 7-12, Jan. 2014.
Paper # NC2013-68 
Date of Issue 2014-01-13 (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 NC2013-68

Conference Information
Committee NC  
Conference Date 2014-01-20 - 2014-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyusyu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-01-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hodgkin Huxley Type Model Parameter Estimation for Single Neuron via Massively Parallel RCGA 
Sub Title (in English) Application to the Silkmoth Antennal Lobe Neuron 
Keyword(1) Real-coded genetic algorithm  
Keyword(2) Insect brain simulation  
Keyword(3) Antennal lobe of silkmoth  
Keyword(4) Massively parallel computing  
Keyword(5) Multi-compartment model  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Akihiko Goto  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Tomoki Kazawa  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Daisuke Miyamoto  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Stephan Shuichi Haupt  
4th Author's Affiliation Bielefeld University (Bielefeld Univ.)
5th Author's Name Yusuke Mori  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
6th Author's Name Ryohei Kanzaki  
6th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2014-01-20 10:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-68 
Volume (vol) vol.113 
Number (no) no.382 
Page pp.7-12 
#Pages 6 
Date of Issue 2014-01-13 (NC) 

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