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| 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 |
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| 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 |
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| 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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