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Paper Abstract and Keywords
Presentation 2014-06-27 11:00
Model selection of early vision system of Drosophila melanogaster
Hideaki Ikeda, Yoshinori Suzuki (Tokyo Inst. of Tech.), Takako Morimoto (Tokyo Univ. of Pharmacy and Life Sciences), Toru Aonishi (Tokyo Inst. of Tech.) NC2014-9 IBISML2014-9
Abstract (in Japanese) (See Japanese page) 
(in English) It is well known that a correlation-type motion detection model can sub-quantitatively reproduce the response of the fly early visual system. A correlation-type motion detection model is classified as Reichardt and Eichner types. In this study, we compared the two models to determine which best describes electrophysiological data. In a previous work, the two models were compared by using data of motion-detection cells in response to flash visual stimuli. Here, we used data of cell responses to noisy motion stimuli in control of aperture. We compared the explanation capability of the two models by using leave-one-out cross-validation method. As a consequence, we found that Eichner-type model has higher generalization than that of Reichardt-type model independent of the individual difference of the flies.
Keyword (in Japanese) (See Japanese page) 
(in English) Drosophila melanogaster / Early vision system / Motion detector / Correlation-type motion detector / Reichardt-type motion detector / Eichner-type motion detector / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 104, NC2014-9, pp. 201-206, June 2014.
Paper # NC2014-9 
Date of Issue 2014-06-18 (NC, IBISML) 
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 NC2014-9 IBISML2014-9

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2014-06-25 - 2014-06-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2014-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Model selection of early vision system of Drosophila melanogaster 
Sub Title (in English)  
Keyword(1) Drosophila melanogaster  
Keyword(2) Early vision system  
Keyword(3) Motion detector  
Keyword(4) Correlation-type motion detector  
Keyword(5) Reichardt-type motion detector  
Keyword(6) Eichner-type motion detector  
Keyword(7)  
Keyword(8)  
1st Author's Name Hideaki Ikeda  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Yoshinori Suzuki  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Takako Morimoto  
3rd Author's Affiliation Tokyo University of Pharmacy and Life Sciences (Tokyo Univ. of Pharmacy and Life Sciences)
4th Author's Name Toru Aonishi  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2014-06-27 11:00:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2014-9, IBISML2014-9 
Volume (vol) vol.114 
Number (no) no.104(NC), no.105(IBISML) 
Page pp.201-206 
#Pages 6 
Date of Issue 2014-06-18 (NC, IBISML) 

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