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Delineating neural contributions to EEG-based speech decoding
This dataset comprises 128-channel EEG recordings acquired during speech production tasks involving overt, minimally overt, and covert speech conditions. Participants produced one of five color words with each trial consisting of five repetitions. The dataset includes calibration and online real-time decoding sessions, along with supplementary physiological recordings (EOG, EMG, microphone) and trigger markers, designed to investigate neural contributions to EEG-based speech decoding.
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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.