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| Paper Abstract and Keywords | ||
| Presentation | 2023-01-29 14:00 Performance Evaluation of Reservoir Computing in Cultured Neural Systems Using a Spiking Neuron Model Yoshitaka Ishikawa (Future Univ Hakodate), Takumi Shinkawa (Oita Univ), Takuma Sumi (Tohoku Univ), Hideyuki Kato (Oita Univ), Hideaki Yamamoto (Tohoku Univ), Yuichi Katori (Future Univ Hakodate)  NLP2022-102 NC2022-86 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The cultured nervous system can be regarded as a physical reservoir. Intracellular Ca2+ ion concentration is measured from the physical reservoir of the cultured nervous system using calcium imaging. Its dynamics can be read out and may lead to various types of information processing. In this study, we constructed a mathematical model of the cultured nervous system and analyzed the effect of the pattern of neuronal connections on a time series generation task. This analysis suggests that the coupling probability between neurons has a significant influence on the performance of time series generation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | neural network / reservoir computing / integrate-and-fire model / modular organization / computational neuroscience / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 374, NC2022-86, pp. 112-117, Jan. 2023. | |
| Paper # | NC2022-86 | |
| Date of Issue | 2023-01-21 (NLP, 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 | NLP2022-102 NC2022-86 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2023-01-28 - 2023-01-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | NC, NLP, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2023-01-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of Reservoir Computing in Cultured Neural Systems Using a Spiking Neuron Model |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | reservoir computing |
| Keyword(3) | integrate-and-fire model |
| Keyword(4) | modular organization |
| Keyword(5) | computational neuroscience |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yoshitaka Ishikawa |
| 1st Author's Affiliation | Future University Hakodate (Future Univ Hakodate) |
| 2nd Author's Name | Takumi Shinkawa |
| 2nd Author's Affiliation | Oita University (Oita Univ) |
| 3rd Author's Name | Takuma Sumi |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ) |
| 4th Author's Name | Hideyuki Kato |
| 4th Author's Affiliation | Oita University (Oita 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 (Future Univ Hakodate) |
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| Speaker | Author-1 |
| Date Time | 2023-01-29 14:00:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NLP2022-102, NC2022-86 |
| Volume (vol) | vol.122 |
| Number (no) | no.373(NLP), no.374(NC) |
| Page | pp.112-117 |
| #Pages | 6 |
| Date of Issue | 2023-01-21 (NLP, NC) |
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