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| Presentation | 2022-09-29 13:25 Tuning properties to Second-order grating in Deep Convolutional Neural Network (DCNN) Jamal Shah (Iwate Prefectural Univ.), Yoshiyuki R. Shiraishi (HobHop, Inc.), Tomoyuki Naito (Osaka Univ.), Takahisa M. Sanada (Iwate Prefectural Univ.)  NC2022-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Second-order visual feature, such as texture defined edge or contrast defined edge, is an important visual cue for object recognition. In the cortical visual system, neurons selective to second-order feature were found in area 18 and these neurons showed similar selectivity to luminance defined grating and the second-order gratings [1][2] Object recognition ability of Deep Convolutional Neural Network (DCNN) achieved the same level as humans. Since both cortical visual system and DCNN have hierarchical architecture, the DCNN might also process the 2nd-order feature in the middle layers. Here we analyzed response properties of internal units in VGG16 to luminance defined grating and the Second-order grating stimuli. VGG16 shows high neural predictability of area V4 [3]. By varying orientation and spatial frequency of luminance grating and envelope of the Second-order grating, we measured tuning characteristics of internal units in all layers. Many of units in middle layers (such as Block3) showed clear selectivity to envelope orientation and spatial frequency. Some of them showed similar tuning properties both in luminance defined grating and Second-order grating. This result suggests that VGG16 might follow similar manner for object representation as cortical visual system. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Receptive field / Visual cortex / Orientation tuning / Object recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 195, NC2022-36, pp. 16-19, Sept. 2022. | |
| Paper # | NC2022-36 | |
| Date of Issue | 2022-09-22 (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 | NC2022-36 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2022-09-29 - 2022-09-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Brain Architecture, NC, ME |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2022-09-NC-MBE |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Tuning properties to Second-order grating in Deep Convolutional Neural Network (DCNN) |
| Sub Title (in English) | |
| Keyword(1) | Receptive field |
| Keyword(2) | Visual cortex |
| Keyword(3) | Orientation tuning |
| Keyword(4) | Object recognition |
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| 1st Author's Name | * Jamal Shah |
| 1st Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 2nd Author's Name | Yoshiyuki R. Shiraishi |
| 2nd Author's Affiliation | HobHop, Inc. (HobHop, Inc.) |
| 3rd Author's Name | Tomoyuki Naito |
| 3rd Author's Affiliation | Graduate School of Medicine, Osaka University (Osaka Univ.) |
| 4th Author's Name | Takahisa M. Sanada |
| 4th Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-09-29 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2022-36 |
| Volume (vol) | vol.122 |
| Number (no) | no.195 |
| Page | pp.16-19 |
| #Pages | 4 |
| Date of Issue | 2022-09-22 (NC) |
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