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| Presentation | 2021-03-15 10:05 Analysis of spike time series characteristics of spiking neuron model with rectangular threshold signal Hiroyuki Kawasaki, Yusuke Matsuoka (NIYT)  NLP2020-57 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This Paper considers the spiking neuron with a rectangular threshold signal. The state of this neuron repeats integrate-and-fire dynamics and the neuron outputs the spike-train sequence. We consider the characteristic of the spike-train sequence for variation of the parameters. By analyzing the dynamics in the time domain, the period of the spike-train sequence and the number of contacts with the high and low levels of the threshold signal can be theoretically derived. From the analysis results, it can be seen that the characteristics of the spike-train sequence can be obtained by sequential calculation from the given parameters. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neuron model / Spike-train sequence / Superstable periodic trajectory / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 430, NLP2020-57, pp. 11-16, March 2021. | |
| Paper # | NLP2020-57 | |
| Date of Issue | 2021-03-08 (NLP) | |
| 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 | NLP2020-57 |
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| Conference Information | |
| Committee | NLP MSS |
| Conference Date | 2021-03-15 - 2021-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2021-03-NLP-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of spike time series characteristics of spiking neuron model with rectangular threshold signal |
| Sub Title (in English) | |
| Keyword(1) | Neuron model |
| Keyword(2) | Spike-train sequence |
| Keyword(3) | Superstable periodic trajectory |
| Keyword(4) | |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Hiroyuki Kawasaki |
| 1st Author's Affiliation | National Institute of Technology, Yonago College (NIYT) |
| 2nd Author's Name | Yusuke Matsuoka |
| 2nd Author's Affiliation | National Institute of Technology, Yonago College (NIYT) |
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| Speaker | Author-1 |
| Date Time | 2021-03-15 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2020-57 |
| Volume (vol) | vol.120 |
| Number (no) | no.430 |
| Page | pp.11-16 |
| #Pages | 6 |
| Date of Issue | 2021-03-08 (NLP) |
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