Bayesian Uncertainty Modeling for P300-Based Brain-Computer Interface

• Main Authors: Ronghua Ma (Author), Hao Zhang (Author), Jun Zhang (Author), Xiaoli Zhong (Author), Zhuliang Yu (Author), Yuanqing Li (Author), Tianyou Yu (Author), Zhenghui Gu (Author)
• Format: Book
• Published: IEEE, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...