SMR applied to EEG and iEEG data shows strong reconstruction persists after excluding local neighbors, indicating that electrode signals contain both local redundancy and broader distributed structure.
Deep learning -based electroencephalography analysis: a systematic review
2 Pith papers cite this work. Polarity classification is still indexing.
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A preprocessing pipeline for resting-state and motor-task EEG is described to support future machine learning models that predict treatment efficacy in chronic neck pain.
citing papers explorer
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Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings
SMR applied to EEG and iEEG data shows strong reconstruction persists after excluding local neighbors, indicating that electrode signals contain both local redundancy and broader distributed structure.
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A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain
A preprocessing pipeline for resting-state and motor-task EEG is described to support future machine learning models that predict treatment efficacy in chronic neck pain.