nm000345
Castillos et al. 2023, Burst c-VEP, 40% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr
…factorial design Study domain: brain-computer interface Feedback type: none Stimulus type…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 337 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026