CastillosBurstVEP40
This dataset comprises electroencephalographic recordings from 12 healthy participants performing a reactive brain-computer interface task based on code-modulated visual evoked potentials (c-VEP). The study introduces an innovative 'Burst c-VEP' paradigm using short bursts of aperiodic visual flashes at 2-4 Hz, systematically varying stimulus amplitude (100% vs. 40%) to optimize classification performance while improving visual comfort. Data were collected using a 32-channel BrainProducts LiveAmp system at 500 Hz sampling rate and analyzed with convolutional neural networks for bitwise decoding.
AI-generated description, may include mistakesLoading demographics…
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.