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.
Understanding deep learning (still) requires rethinking generalization.Communications of the ACM, 64(3): 107–115
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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.