AINeutralarXiv – CS AI · 8h ago6/10
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Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
Researchers demonstrate that EEG-based deep learning models produce unstable predictions when preprocessing pipelines change, with up to 42% of predictions flipping across different preprocessing choices. The study introduces three tools—Walsh-Hadamard decomposition, Preprocessing Uncertainty metrics, and a regularization approach—to measure and mitigate this instability, revealing a critical reliability gap in brain-computer interface systems.