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| Presentation | 2024-03-12 11:40 Generalization Model of Monkey V4 Neurons based on FCN encoder Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba)  NC2023-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial for object recognition. It plays a pivotal role in amalgamating low-level visual cues and constructing object representations. However, the specific mechanisms driving intermediate-level processing in the V4 field remain elusive. In this study, we developed a model aimed at replicating cellular responses in Monkey V4 to natural images and conducted an analysis of the fidelity of feature selectivity, particularly focusing on several contour attributes believed to be encoded by V4 cells. We paid special attention to task differences, considering classification using AlexNet and segmentation using FCN-AlexNet. Specifically, we crafted an encoding model to forecast actual cellular responses by extracting signals from intermediate layers corresponding to the V4 field. Both models exhibited a consistent level of generalization performance and effectively replicated cellular selectivity towards contour features, with the extent of replication showing no dependence on the model's task. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Object Recognition / Ventral Visual Pathway / V4 / Neural Response Prediction Model / Simulation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 418, NC2023-54, pp. 65-68, March 2024. | |
| Paper # | NC2023-54 | |
| Date of Issue | 2024-03-04 (NC) | |
| 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 | NC2023-54 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2024-03-11 - 2024-03-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Univ. of Tokyo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Brain architecture, General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2024-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generalization Model of Monkey V4 Neurons based on FCN encoder |
| Sub Title (in English) | * |
| Keyword(1) | Object Recognition |
| Keyword(2) | Ventral Visual Pathway |
| Keyword(3) | V4 |
| Keyword(4) | Neural Response Prediction Model |
| Keyword(5) | Simulation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tsubasa Saito |
| 1st Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name | Taisei Hara |
| 2nd Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name | Ko Sakai |
| 3rd Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2024-03-12 11:40:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2023-54 |
| Volume (vol) | vol.123 |
| Number (no) | no.418 |
| Page | pp.65-68 |
| #Pages | 4 |
| Date of Issue | 2024-03-04 (NC) |
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