nm000345
CastillosBurstVEP40
EEG
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.
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 337 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026