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Paper Abstract and Keywords
Presentation 2025-12-15 15:00
Data-Driven Investigation of Brain Mechanisms Underlying Self-Initiated Attention Shifts
Yuwen Zeng, Dengzhe Hou, Yongsong Huang, Chia-huei Tseng, Satoshi Shioiri (Tohoku Univ.) HIP2025-67
Abstract (in Japanese) (See Japanese page) 
(in English) Self-initiated attention shifts, an essential component of voluntary cognitive control, remain less explored than externally cued shifts. This study analyzed EEG activity preceding such shifts during a rapid serial visual presentation task performed under self-initiated, instructed, and free-viewing conditions. Participant-specific machine-learning classifiers were trained to distinguish self-initiated from instructed shifts based on pre-shift EEG signals. Classification accuracy exceeded chance across participants, indicating that pre-shift activity contains discriminative information. These findings demonstrate the utility of data-driven, individual-level approaches for identifying neural patterns underlying internally generated attention
Keyword (in Japanese) (See Japanese page) 
(in English) Visual attention / EEG / Machine learning / Cognitive control / Brain-computer interface / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 291, HIP2025-67, pp. 15-18, Dec. 2025.
Paper # HIP2025-67 
Date of Issue 2025-12-08 (HIP) 
ISSN 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 HIP2025-67

Conference Information
Committee HIP  
Conference Date 2025-12-15 - 2025-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Research Institute of Electrical Communication 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-modal, KANSEI information processing, Vision and its application, Human information processing 
Paper Information
Registration To HIP 
Conference Code 2025-12-HIP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Data-Driven Investigation of Brain Mechanisms Underlying Self-Initiated Attention Shifts 
Sub Title (in English)  
Keyword(1) Visual attention  
Keyword(2) EEG  
Keyword(3) Machine learning  
Keyword(4) Cognitive control  
Keyword(5) Brain-computer interface  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuwen Zeng  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Dengzhe Hou  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Yongsong Huang  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Chia-huei Tseng  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Satoshi Shioiri  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2025-12-15 15:00:00 
Presentation Time 30 minutes 
Registration for HIP 
Paper # HIP2025-67 
Volume (vol) vol.125 
Number (no) no.291 
Page pp.15-18 
#Pages 4 
Date of Issue 2025-12-08 (HIP) 

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