EEG model predictions on the same brain signals flip for up to 42% of trials under different preprocessing choices, with new tools introduced to measure and mitigate the resulting instability.
BENDR: Using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
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Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
EEG model predictions on the same brain signals flip for up to 42% of trials under different preprocessing choices, with new tools introduced to measure and mitigate the resulting instability.