Bayesian Uncertainty Modeling for P300-Based Brain-Computer Interface

P300 potential is important to cognitive neuroscience research, and has also been widely applied in brain-computer interfaces (BCIs). To detect P300, many neural network models, including convolutional neural networks (CNNs), have achieved outstanding results. However, EEG signals are usually high-d...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Ronghua Ma, Hao Zhang, Jun Zhang, Xiaoli Zhong, Zhuliang Yu, Yuanqing Li, Tianyou Yu, Zhenghui Gu
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Bayesian neural network (BNN) brain-computer interface (BCI) deep learning P300 uncertainty estimation
Online Access:	https://ieeexplore.ieee.org/document/10153625/