Paper Abstract and Keywords |
Presentation |
2010-07-27 14:55
Hierarchical Bayes method for NIRS-DOT inverse problem and its phase diagrams Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST), Masa-aki Sato (ATR) NC2010-38 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The NIRS-DOT is a method to reconstruct tomographic images from the data by solving the linear equations, which have ambiguity. In a previous study, a solution to this problem is obtained by the minimum-norm estimation. However, this gives poor results because it does not take into account the localization of brain activity. The hierarchical Bayes framework is convenient to introduce the localization or sparsity into the model. In fact, it works well in the inverse problem of Magnetoencephalography (MEG) current source estimation. In this study, we apply the hierarchical Bayes framework to the inverse problem of the NIRS-DOT. The framework has the two prior hyperparameters that influence the reconstruction accuracy and sparsity. We observed that the phase transition occurs with respect to the hyperparameters, which causes a sudden change. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
variational Bayes / phase transition / phase diagram / sparseness / NIRS-DOT / inverse problem / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 149, NC2010-38, pp. 51-56, July 2010. |
Paper # |
NC2010-38 |
Date of Issue |
2010-07-20 (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) |
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NC2010-38 |
Conference Information |
Committee |
NC |
Conference Date |
2010-07-27 - 2010-07-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Recording and analysis of neuronal activity, etc |
Paper Information |
Registration To |
NC |
Conference Code |
2010-07-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Hierarchical Bayes method for NIRS-DOT inverse problem and its phase diagrams |
Sub Title (in English) |
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Keyword(1) |
variational Bayes |
Keyword(2) |
phase transition |
Keyword(3) |
phase diagram |
Keyword(4) |
sparseness |
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NIRS-DOT |
Keyword(6) |
inverse problem |
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1st Author's Name |
Atsushi Miyamoto |
1st Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
2nd Author's Name |
Kazuho Watanabe |
2nd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
3rd Author's Name |
Kazushi Ikeda |
3rd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
4th Author's Name |
Masa-aki Sato |
4th Author's Affiliation |
Advanced Telecommunications Research Institute International (ATR) |
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Speaker |
Author-1 |
Date Time |
2010-07-27 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2010-38 |
Volume (vol) |
vol.110 |
Number (no) |
no.149 |
Page |
pp.51-56 |
#Pages |
6 |
Date of Issue |
2010-07-20 (NC) |
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