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Paper Abstract and Keywords
Presentation 2013-06-28 15:35
Graph Structure Modeling for Spike Data Analysis
Sho Higuchi, Atsushi Noda (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Noboru Murata (Waseda Univ.) NC2013-14
Abstract (in Japanese) (See Japanese page) 
(in English) Information in the brain is processed by neural cooperative activity.Estimation of neural graph structures is important to understand the mechanism of information processing in the brain.Since neural connections are asymmetric, directed graphs are appropriate to represent neural graph structures.
In this paper, directed graphs are represented using the digraph Laplacian, and information transition on graphs is modeled by an exponential map of the digraph Laplacian.
Moreover, a parameter estimation method is proposed.
At last, the proposed method is experimentally shown to be able to estimate directed graph structures using artificial neural spike data.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph Structure / Digraph Laplacian / Spike Data Analysis / Neural Networks / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 111, NC2013-14, pp. 145-150, June 2013.
Paper # NC2013-14 
Date of Issue 2013-06-20 (NC) 
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 NC2013-14

Conference Information
Committee NC IPSJ-BIO  
Conference Date 2013-06-27 - 2013-06-28 
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 2013-06-NC-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Graph Structure Modeling for Spike Data Analysis 
Sub Title (in English)  
Keyword(1) Graph Structure  
Keyword(2) Digraph Laplacian  
Keyword(3) Spike Data Analysis  
Keyword(4) Neural Networks  
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1st Author's Name Sho Higuchi  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Atsushi Noda  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Hideitsu Hino  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
4th Author's Name Noboru Murata  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2013-06-28 15:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-14 
Volume (vol) vol.113 
Number (no) no.111 
Page pp.145-150 
#Pages 6 
Date of Issue 2013-06-20 (NC) 

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