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| Presentation | 2024-01-25 11:50 Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects Takumi Shinkawa, Hideyuki Kato (Oita Univ.), Yoshitaka Ishikawa (FUN), Takuma Sumi, Hideaki Yamamoto (Tohoku Univ.), Yuichi Katori (FUN)  NLP2023-107 MICT2023-62 MBE2023-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, to theoretically investigate the information processing mechanisms in the brain, we optimized synaptic scaling rules based on the synaptic scaling phenomenon observed in biological neuronal networks, and, then, propose a biological neuronal network model by applying them to modular spiking neural networks. In addition, we report the results of analyzing network activities from the viewpoint of spontaneous activity for various network sizes and modularities. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | network size / modularity / synaptic scaling rule / biological neuronal network model / modular spiking neural networks / spontaneous activity / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 354, NLP2023-107, pp. 110-113, Jan. 2024. | |
| Paper # | NLP2023-107 | |
| Date of Issue | 2024-01-17 (NLP, 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 | NLP2023-107 MICT2023-62 MBE2023-53 |
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| Conference Information | |
| Committee | NC MBE NLP MICT |
| Conference Date | 2024-01-24 - 2024-01-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Naruto University of Education |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | NC, MBE, MICT, NLP, etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2024-01-NC-MBE-NLP-MICT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimization of synaptic scaling rule, its implementation on modular spiking neural networks and analysis of its affects |
| Sub Title (in English) | |
| Keyword(1) | network size |
| Keyword(2) | modularity |
| Keyword(3) | synaptic scaling rule |
| Keyword(4) | biological neuronal network model |
| Keyword(5) | modular spiking neural networks |
| Keyword(6) | spontaneous activity |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takumi Shinkawa |
| 1st Author's Affiliation | Oita University (Oita Univ.) |
| 2nd Author's Name | Hideyuki Kato |
| 2nd Author's Affiliation | Oita University (Oita Univ.) |
| 3rd Author's Name | Yoshitaka Ishikawa |
| 3rd Author's Affiliation | Future University Hakodate (FUN) |
| 4th Author's Name | Takuma Sumi |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 5th Author's Name | Hideaki Yamamoto |
| 5th Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 6th Author's Name | Yuichi Katori |
| 6th Author's Affiliation | Future University Hakodate (FUN) |
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| Speaker | Author-1 |
| Date Time | 2024-01-25 11:50:00 |
| Presentation Time | 20 minutes |
| Registration for | NLP |
| Paper # | NLP2023-107, MICT2023-62, MBE2023-53 |
| Volume (vol) | vol.123 |
| Number (no) | no.354(NLP), no.355(MICT), no.356(MBE) |
| Page | pp.110-113 |
| #Pages | 4 |
| Date of Issue | 2024-01-17 (NLP, MICT, MBE) |
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