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Delineating neural contributions to EEG-based speech decoding
This dataset comprises 128-channel EEG recordings collected during a speech production paradigm designed to investigate neural correlates of overt, minimally overt, and covert speech. Participants produced one of five color words under each speech condition, with additional peripheral recordings including EOG, EMG, microphone, and display markers to support speech decoding analyses. The dataset includes both calibration sessions for decoder training and online sessions for real-time decoding evaluation.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.