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...
| Autori principali: | , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IEEE
2023-01-01
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| Serie: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10153625/ |