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| Presentation | 2021-11-26 15:25 Explaining coarse visual processing in the subcortical pathway with convolutional neural networks Chanseok Lim, Mikio Inagaki (Osaka Univ.), Takashi Shinozaki (NICT), Ichiro Fujita (Osaka Univ.)  NC2021-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The subcortical pathway for face processing conveys information rapidly but roughly to the amygdala. The fast processing arises from the small number of processing stages. However, it is unclear whether the shallowness of processing stages renders the transmitted information coarse. To address this question, we developed a convolutional neural network model with a shallow architecture (SNN), receptive fields similar to those in the first stage of the subcortical pathway, and a greater degree of spatial pooling. The SNN successfully learned to discriminate facial expressions. Units in the final stage represented spatial frequency in the retina-based reference frame in a similar way to the representation in the subcortical pathway. We further compared the SNN model and three modified models in which the three features of the SNN were replaced one by one with the corresponding features in the cortical pathway. The comparison revealed that the coarse representation results not only from the processing shallowness but from the receptive field organization and the degree of spatial pooling. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Vision / Convolutional Neural Network / Subcortical Pathway / Amygdala / Spatial Frequency / Face Recognition / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 271, NC2021-28, pp. 1-6, Nov. 2021. | |
| Paper # | NC2021-28 | |
| Date of Issue | 2021-11-19 (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 | NC2021-28 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-11-26 - 2021-11-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-11-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Explaining coarse visual processing in the subcortical pathway with convolutional neural networks |
| Sub Title (in English) | |
| Keyword(1) | Vision |
| Keyword(2) | Convolutional Neural Network |
| Keyword(3) | Subcortical Pathway |
| Keyword(4) | Amygdala |
| Keyword(5) | Spatial Frequency |
| Keyword(6) | Face Recognition |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Chanseok Lim |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Mikio Inagaki |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Takashi Shinozaki |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 4th Author's Name | Ichiro Fujita |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-11-26 15:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2021-28 |
| Volume (vol) | vol.121 |
| Number (no) | no.271 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2021-11-19 (NC) |
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