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eess.SP2022★ 2 cited
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features
Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac +2
In brain signal processing, deep learning (DL) models have become commonly used. However, the performance gain from using end-to-end DL models compared to conventional ML approache…
eess.SP2022
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac +2
In brain-computer interfaces (BCI) research, recording data is time-consuming and expensive, which limits access to big datasets. This may influence the BCI system performance as m…