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| Presentation | 2020-01-25 15:30 Object representation in inferotemporal cortex revealed by neuronal activity-trained neural network Yoshihiro Uto, Yusuke Yamamoto, Jun-ya Okamura, Yousuke Yamada, Lulin Dai, Gang Wang (Kagoshima Univ.)  MICT2019-51 MBE2019-80 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of present study is to understand the underlying neuronal mechanism on view-invariant object recognition. Prior discrimination experience at a viewing angle causes response tolerance in a range of 30-60° around the angle for cells in the anterior part of inferotemporal cortex (TE area), the association area critical for object recognition and discrimination. Here, to reveal the dynamics during discrimination of objects across views, an object discrimination classifier was established and trained, by using the machine learning algorithm, with cell population response vectors to differentiate objects at the same viewing angle. The object discrimination performance of the classifier was tested by the responses to the object images at a viewing angle difference of 30°. It started to increase at about 100 ms after the stimulus onset, and kept higher than random discrimination level. The results demonstrate the dynamics of object discrimination processing, and feasibility of machine learning algorithm in extraction of the information from the neuronal responses of cell populations. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | view-invariance / anterior inferotemporal cortex / firing rate / machine learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 391, MBE2019-80, pp. 63-67, Jan. 2020. | |
| Paper # | MBE2019-80 | |
| Date of Issue | 2020-01-18 (MICT, MBE) | |
| ISSN | 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 | MICT2019-51 MBE2019-80 |
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| Conference Information | |
| Committee | MBE MICT |
| Conference Date | 2020-01-25 - 2020-01-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KKR Hotel Kumamoto |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2020-01-MBE-MICT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Object representation in inferotemporal cortex revealed by neuronal activity-trained neural network |
| Sub Title (in English) | |
| Keyword(1) | view-invariance |
| Keyword(2) | anterior inferotemporal cortex |
| Keyword(3) | firing rate |
| Keyword(4) | machine learning |
| Keyword(5) | |
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| 1st Author's Name | Yoshihiro Uto |
| 1st Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
| 2nd Author's Name | Yusuke Yamamoto |
| 2nd Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
| 3rd Author's Name | Jun-ya Okamura |
| 3rd Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
| 4th Author's Name | Yousuke Yamada |
| 4th Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
| 5th Author's Name | Lulin Dai |
| 5th Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
| 6th Author's Name | Gang Wang |
| 6th Author's Affiliation | Kagoshima University (Kagoshima Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-01-25 15:30:00 |
| Presentation Time | 20 minutes |
| Registration for | MBE |
| Paper # | MICT2019-51, MBE2019-80 |
| Volume (vol) | vol.119 |
| Number (no) | no.390(MICT), no.391(MBE) |
| Page | pp.63-67 |
| #Pages | 5 |
| Date of Issue | 2020-01-18 (MICT, MBE) |
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