The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

1 code implementation • Journal of Neural Engineering 2024 • Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna Lopes, Sebastien Velut, Salim Khazem, Thomas Moreau

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.

EEG Motor Imagery +5