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| Paper Abstract and Keywords | ||
| Presentation | 2016-11-04 11:15 Unsupervised Learning with Spike-Timing Dependent Delay Learning Model Takashi Matsubara (Kobe Univ.)  CCS2016-32 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in central nervous systems, and mimicking such system contributes to development of an efficient information processing chip requiring less energy and circuit area. Adaptation of spike timing is also known as delay learning. However, it still remains unclear how biological nervous system adjusts spike timing or what learning algorithm achieves a desired network structure. This paper presents an unsupervised learning algorithm, which considers a simple spiking neural network as a probabilistic model and trains it according to EM algorithm. Learning procedure shown in the presented algorithm is similar to those shown in previous physiological studies and a plausible model of biological delay learning. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spiking Neural Network / Delay Learning / Unsupervised Learning / EM algorithm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 285, CCS2016-32, pp. 13-16, Nov. 2016. | |
| Paper # | CCS2016-32 | |
| Date of Issue | 2016-10-28 (CCS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | CCS2016-32 |
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| Conference Information | |
| Committee | CCS |
| Conference Date | 2016-11-04 - 2016-11-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Sangyo Univ. (Musubiwaza Bldg.) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Interaction and Communication, etc. |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2016-11-CCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unsupervised Learning with Spike-Timing Dependent Delay Learning Model |
| Sub Title (in English) | |
| Keyword(1) | Spiking Neural Network |
| Keyword(2) | Delay Learning |
| Keyword(3) | Unsupervised Learning |
| Keyword(4) | EM algorithm |
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| 1st Author's Name | Takashi Matsubara |
| 1st Author's Affiliation | Kobe University (Kobe Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-11-04 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | CCS |
| Paper # | CCS2016-32 |
| Volume (vol) | vol.116 |
| Number (no) | no.285 |
| Page | pp.13-16 |
| #Pages | 4 |
| Date of Issue | 2016-10-28 (CCS) |
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