An open source tool for large-scale EEG datasets processing
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Updated
Aug 19, 2026 - Python
An open source tool for large-scale EEG datasets processing
Machine learning for Anonymous detection of an alcoholic by EEG signals
PhyAAt: Physiology of Auditory Attention - Processing Library
A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration
An Interactive Cross-Platform tool to run Online EEG Experiments using Web-Bluetooth and the Muse EEG headset.
Code, notebooks, validation scripts, and analysis outputs for NMT-4K-EEG, a clinical EEG dataset with 4,500 recordings, event-level annotations, anonymized clinical reports, and predefined training and evaluation partitions.
[IEEE Transactions on Cybernetics] Brain EEG Time Series Clustering Using Maximum Weight Clique
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