nm000342 NEMAR-native dataset
CastillosCVEP40
A code-modulated Visual Evoked Potential (c-VEP) dataset from 12 healthy participants investigating burst c-VEP as a reactive brain-computer interface paradigm. The study employed a factorial design manipulating stimulus pattern (burst vs. m-sequence) and amplitude depth (100% vs. 40% modulation) to optimize classification performance while improving user visual comfort. EEG data were recorded at 500 Hz from 32 channels using a BrainProducts LiveAmp system during a 4-class classification task with 4 visual targets.
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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.