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Found 4 papers, 2 papers with code
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
The significance of this study lies in its contribution to establishing a rigorous and transparent benchmark for BCI research, offering insights into optimal methodologies and highlighting the importance of reproducibility in driving advancements within the field.
Geometric Neural Network based on Phase Space for BCI decoding
\textbf{Approach:} Our research aims to develop a DL algorithm that delivers effective results with a limited number of electrodes.
Pseudo-online framework for BCI evaluation: A MOABB perspective
The main difference is that the offline mode often analyzes the whole data, while the online and pseudo-online modes only analyze data in short time windows.
Classification of BCI-EEG based on augmented covariance matrix
A fairly natural idea is therefore to extend the standard approach using these augmented covariance matrices.
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