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| Presentation | 2014-01-22 12:50 Nonlinear Model of BOLD signal without detrending Takashi Matsubara (Osaka Univ.), Hiroyuki Torikai (Kyoto Sangyo Univ.), Tetuya Shimokawa (CiNet)  NLP2013-152 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents a nonlinear model of human brain response to visual stimuli according to BOLD signal scanned by fMRI. BOLD signal contains low frequency signal called ``trend'' component, which is often ignored by the existing mathematical models and removed by some approximation. However, such detrending could destroy the dynamics of the BOLD signal and miss an important response. This paper shows the presented model can reproduce the BOLD signal without detrending. In addition, this paper shows the error of the presented model without detrending is smaller than the errors of the existing models in the cases of with and without detrending. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | functional magnetic resonance imaging / Time series prediction / Nonlinear dynamical system / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 383, NLP2013-152, pp. 123-126, Jan. 2014. | |
| Paper # | NLP2013-152 | |
| Date of Issue | 2014-01-14 (NLP) | |
| 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 | NLP2013-152 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2014-01-21 - 2014-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Niseko Park Hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2014-01-NLP |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Nonlinear Model of BOLD signal without detrending |
| Sub Title (in English) | |
| Keyword(1) | functional magnetic resonance imaging |
| Keyword(2) | Time series prediction |
| Keyword(3) | Nonlinear dynamical system |
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| 1st Author's Name | Takashi Matsubara |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Hiroyuki Torikai |
| 2nd Author's Affiliation | Kyoto Sangyo Univerisity (Kyoto Sangyo Univ.) |
| 3rd Author's Name | Tetuya Shimokawa |
| 3rd Author's Affiliation | Center for Information and Neural Networks (CiNet) |
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| Speaker | Author-1 |
| Date Time | 2014-01-22 12:50:00 |
| Presentation Time | 20 minutes |
| Registration for | NLP |
| Paper # | NLP2013-152 |
| Volume (vol) | vol.113 |
| Number (no) | no.383 |
| Page | pp.123-126 |
| #Pages | 4 |
| Date of Issue | 2014-01-14 (NLP) |
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