most citedA Strong and Simple Deep Learning Baseline for BCI MI Decoding

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eess.SP2024

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding

Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia +2

In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches offline performance level while being usable online without requiring supervision. Interesti…

eess.SP2023★ 2 cited

A Strong and Simple Deep Learning Baseline for BCI MI Decoding

Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup +3

We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline t…