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| Presentation | 2014-06-27 10:35 Spike Data Analysis by Weighted Directed Graph Modeling Sho Higuchi (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Masami Tatsuno (Univ. of Lethbridge), Noboru Murata (Waseda Univ.)  NC2014-8 IBISML2014-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With recent developments in multielectrode recording technology, neural spike data can be obtained from a brain. It is expected to understand the mechanism of information processing in a brain by analyzing these neural data. It is consider that a brain processes information by neural cooperative activity. In order to analyze neural data, the method that can take into account of neural cooperative activity is desirable. Since neural connections are asymmetric and have different connection strengths, it is required that the method is able to represent these features. In this paper, neural connections are represented by using the weighted directed graph, and a state that a lot of neurons affect each other is modeled. Then a method for estimating graph structures is proposed. Experimental results using artificial neural spike data show that the proposed method is able to estimate weighted directed graph structure. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Graph Structure / Weighted Directed Graph / Spike Data Analysis / Neural Networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 104, NC2014-8, pp. 193-200, June 2014. | |
| Paper # | NC2014-8 | |
| Date of Issue | 2014-06-18 (NC, IBISML) | |
| 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 | NC2014-8 IBISML2014-8 |
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| Conference Information | |
| Committee | NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date | 2014-06-25 - 2014-06-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2014-06-NC-BIO-IBISML-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spike Data Analysis by Weighted Directed Graph Modeling |
| Sub Title (in English) | |
| Keyword(1) | Graph Structure |
| Keyword(2) | Weighted Directed Graph |
| Keyword(3) | Spike Data Analysis |
| Keyword(4) | Neural Networks |
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| Keyword(8) | |
| 1st Author's Name | Sho Higuchi |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Hideitsu Hino |
| 2nd Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name | Masami Tatsuno |
| 3rd Author's Affiliation | University of Lethbridge (Univ. of Lethbridge) |
| 4th Author's Name | Noboru Murata |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-06-27 10:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2014-8, IBISML2014-8 |
| Volume (vol) | vol.114 |
| Number (no) | no.104(NC), no.105(IBISML) |
| Page | pp.193-200 |
| #Pages | 8 |
| Date of Issue | 2014-06-18 (NC, IBISML) |
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