nm000342
CastillosCVEP40
EEG
A code-modulated Visual Evoked Potential (c-VEP) electroencephalography dataset from 12 healthy participants investigating burst c-VEP as a reactive brain-computer interface paradigm. This dataset contains m-sequence c-VEP data at 40% amplitude modulation depth. The original study employed a factorial design manipulating stimulus pattern (burst vs. m-sequence) and amplitude depth (100% vs. 40% modulation) to optimize classification accuracy while improving user visual comfort. Data were acquired at 500 Hz using 32-channel EEG with convolutional neural network classification achieving up to 95.6% accuracy on the full amplitude burst condition.
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 22
- HED
- v8.4.0
- Size
- 340 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026