A systematic evaluation of euclidean alignment with deep learning for eeg decoding
Objective: Electroencephalography signals are frequently used for various Brain–Computer
interface (BCI) tasks. While deep learning (DL) techniques have shown promising results …
interface (BCI) tasks. While deep learning (DL) techniques have shown promising results …
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding
In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches
offline performance level while being usable online without requiring supervision …
offline performance level while being usable online without requiring supervision …
[PDF][PDF] Tailoring Deep Learning for Real-Time Brain-Computer Interfaces: From Offline Models to Calibration-Free Online Decoding
The success of deep learning (DL) in offline brain-computer interfaces (BCIs) has not yet
translated into efficient online applications. This is due to three primary challenges. First …
translated into efficient online applications. This is due to three primary challenges. First …