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| Presentation | 2021-03-03 15:35 A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model Kaya Teramoto, Susumu Kuroyanagi (NIT)  NC2020-51 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables clustering based on the ordinal relation of input pulses by simultaneously learning of the connection weights and delays of the pulse neuron model. However, clustering by supervised learning rule does not extract features inherent in the data. In this paper, We apply this learning rule to unsupervised learning to verify whether it is possible to perform clustering that captures the temporal characteristics of the arrival order relation of pulses. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural network / Pulsed neuron model / Time series information processing / Unsupervised learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 403, NC2020-51, pp. 47-52, March 2021. | |
| Paper # | NC2020-51 | |
| Date of Issue | 2021-02-24 (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 | NC2020-51 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | Pulsed neuron model |
| Keyword(3) | Time series information processing |
| Keyword(4) | Unsupervised learning |
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| Keyword(8) | |
| 1st Author's Name | Kaya Teramoto |
| 1st Author's Affiliation | Nagoya Institute of Technology University (NIT) |
| 2nd Author's Name | Susumu Kuroyanagi |
| 2nd Author's Affiliation | Nagoya Institute of Technology University (NIT) |
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| Speaker | Author-1 |
| Date Time | 2021-03-03 15:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-51 |
| Volume (vol) | vol.120 |
| Number (no) | no.403 |
| Page | pp.47-52 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (NC) |
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