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| Presentation | 2023-03-13 11:30 Visual-cortical mapping reproduced by the self-organization algorithm Daisuke Sano, Shunji Satoh (UEC)  NC2022-93 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a method for constructing a visual field-cortical projection function using the Kohonen's self-organizing algo-rithm (SOM). First, we present the problems of conventional model functions for cortical projection. To solve these problems, we discuss the method of artificial neurons’ position on the SOM space and the probability density function that the input signal to the SOM subject to. We quantitatively evaluate the obtained SOM in terms of cortical magnification factor and po-lar-angle dependence of the magnification. We confirmed that the mapping function is consistent with physiological data when the density of receptive fields of retinal ganglion cells was adopted as the input to the SOM. The flexibility in the placement of artificial neurons of the SOM allows us to obtain visual field-cortical projection functions in the primary visual cortex V1 of squirrel monkeys as well as in humans. We also obtained the mapping function for the V2 area. The computa-tional conclusion is that the V1 cortex may be performing vector-quantization of visual field with 1-norm error minimization criterion. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | primary visual cortex / mapping of visual field to cortex / complex-log transformation / self-organization map / cortical magnification factor / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 425, NC2022-93, pp. 13-18, March 2023. | |
| Paper # | NC2022-93 | |
| Date of Issue | 2023-03-06 (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 | NC2022-93 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2023-03-13 - 2023-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Univ. of Electro-Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Brain architecture, General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2023-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Visual-cortical mapping reproduced by the self-organization algorithm |
| Sub Title (in English) | |
| Keyword(1) | primary visual cortex |
| Keyword(2) | mapping of visual field to cortex |
| Keyword(3) | complex-log transformation |
| Keyword(4) | self-organization map |
| Keyword(5) | cortical magnification factor |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Daisuke Sano |
| 1st Author's Affiliation | University of Electro Communications (UEC) |
| 2nd Author's Name | Shunji Satoh |
| 2nd Author's Affiliation | University of Electro Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2023-03-13 11:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2022-93 |
| Volume (vol) | vol.122 |
| Number (no) | no.425 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2023-03-06 (NC) |
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