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20232026
most citedThe largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

11 citations · 17 across the 11 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

eess.SP2025

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding

Bruno Aristimunha, Dung Truong, Pierre Guetschel +16

Current electroencephalogram (EEG) decoding models are typically trained on small numbers of subjects performing a single task. Here, we introduce a large-scale, code-submission-ba…

cs.LG2025

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study

Martin Wimpff, Bruno Aristimunha, Sylvain Chevallier +1

This study investigates continual fine-tuning strategies for deep learning in online longitudinal electroencephalography (EEG) motor imagery (MI) decoding within a causal setting i…