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| Presentation | 2017-05-26 10:20 Decoding of EEG data during working memory task Yudai Gamano (Toyama Pref. Univ.), Chihiro Asanoi (Tokyo Woman's Christian Univ.), Katsumi Umeno, Ken-ichi Morishige (Toyama Pref. Univ.)  MBE2017-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Electroencephalography (EEG) studies of working memory (WM) have demonstrated oscillatory representations and mechanisms, but it is not clear yet what kind of information is stored in memory representations. To answer such question, we measured scalp EEG data while subjects performed a Sternberg WM task. Random seven digit numbers were presented sequentially on a monitor. In each trial, subjects judged whether a probe digit was one of the seven digits in a list. We then employed a multivariate pattern analysis based decoding approach to see if electrical brain activity during working memory retention period contains information about the content of the working memory. We can well predict the working memory content for the digits. Our results suggest that activity in frontal and occipital areas within the theta, alpha and beta contain information about the content of working memory. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | working memory / EEG / machine learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 63, MBE2017-3, pp. 13-18, May 2017. | |
| Paper # | MBE2017-3 | |
| Date of Issue | 2017-05-19 (MBE) | |
| 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 | MBE2017-3 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2017-05-26 - 2017-05-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toyama Prefectural Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2017-05-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Decoding of EEG data during working memory task |
| Sub Title (in English) | |
| Keyword(1) | working memory |
| Keyword(2) | EEG |
| Keyword(3) | machine learning |
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| 1st Author's Name | Yudai Gamano |
| 1st Author's Affiliation | Toyama Prefectual University (Toyama Pref. Univ.) |
| 2nd Author's Name | Chihiro Asanoi |
| 2nd Author's Affiliation | Tokyo Woman's Christian University (Tokyo Woman's Christian Univ.) |
| 3rd Author's Name | Katsumi Umeno |
| 3rd Author's Affiliation | Toyama Prefectual University (Toyama Pref. Univ.) |
| 4th Author's Name | Ken-ichi Morishige |
| 4th Author's Affiliation | Toyama Prefectual University (Toyama Pref. Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-05-26 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2017-3 |
| Volume (vol) | vol.117 |
| Number (no) | no.63 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2017-05-19 (MBE) |
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