DC-tCNN: A Deep Model for EEG-Based Detection of Dim Targets

DC-tCNN: A Deep Model for EEG-Based Detection of Dim Targets

<italic>Objective:</italic> Dim target detection in remote sensing images is a significant and challenging problem. In this work, we seek to explore event-related brain responses of dim target detection tasks and extend the brain-computer interface (BCI) systems to this task for efficien...

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Bibliographic Details
Main Authors: Liangwei Fan, Hui Shen, Fengyu Xie, Jianpo Su, Yang Yu, Dewen Hu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Asynchronous visual evoked paradigm (AVEP)
brain-computer interface (BCI)
channel-wise attention
dim target detection
domain adaptation
electroencephalography (EEG)
Online Access:https://ieeexplore.ieee.org/document/9801685/
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https://ieeexplore.ieee.org/document/9801685/

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