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nm000344
Castillos et al. 2023, Burst c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

EEG Zarr

…visual attention, target selection Study design: factorial within-subject Study domain: BCI…

Participants

12

Channels

32 (10-10)

Citations

18

HED

v8.4.0

Size

352 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Kalou Cabrera Castillos et al.
nm000266
Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints

EEG Zarr

…Subjects focused attention on target tones (1000 Hz) and ignored non-target…

Participants

13

Channels

31 (10-10)

Citations

2

HED

v8.4.0

Size

3.68 GB

Version

v1.0.7

Updated

Oct 9, 2026

by Jan Sosulski et al.
nm000342
Castillos et al. 2023, m-sequence 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

…visual_attention Study design: factorial design Study domain: brain-computer interface Feedback…

Participants

12

Channels

32 (10-10)

Citations

19

HED

v8.4.0

Size

340 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Kalou Cabrera Castillos et al.
nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset

EEG Zarr

…Subjects focus attention on visual stimuli flickering at different frequencies (6.66…

Participants

11

Channels

256 (egi-geodesic)

Citations

37

HED

v8.4.0

Size

9.72 GB

Version

v1.0.3

Updated

Oct 8, 2026

by Vangelis P. Oikonomou et al.
nm000346
Castillos et al. 2023, m-sequence c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

EEG Zarr

…visual attention Number of classes: 2 Class labels: 0, 1 Trial duration…

Participants

12

Channels

32 (10-10)

Citations

18

HED

v8.4.0

Size

352 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Kalou Cabrera Castillos et al.
nm000379
Rapid coordination of effective learning by the human hippocampus: intracranial EEG during scene recognition with eye tracking

iEEG

…one contact in hippocampus, dorsal attention network or visual network analysed. ## sourcedata…

Participants

6

Size

41.7 GB

Version

v1.0.0

Updated

Oct 8, 2026

by James E. Kragel et al.
nm000373
Intracranial entrainment reveals statistical learning across levels of abstraction (Sherman et al., 2023): raw iEEG from 8 neurosurgical patients

iEEG

…Participants passively viewed the stream and were asked to pay attention to…

Participants

8

Size

17.5 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Brynn Sherman et al.