nm000346
CastillosCVEP100
EEG
…reactive BCI, visual evoked potentials Documentation ------------- Description: 4-class code-VEP BCI…
- Size
- 148 MB
- Updated
- Jun 3, 2026
Discover datasets
100 results for "Broad-Band Visually Evoked Potentials" · page 9 of 10 · ranked by relevance
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- ds004626
Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and EEG event-related potentials.
EEG…Diffusion Modeling and event-related potentials. Psychophysiology, e14406. https://doi. org/10…
- Participants
- 52
- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEGBigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
- Size
- 1.46 GB
- Updated
- Jun 3, 2026
- ds004473
sEEG Forced Two-Choice Task
iEEG MRI- Participants
- 8
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG[ study.
…When sentences were ignored, N400 and LPC/P600 were robustly evoked to…
- ds003519
VisualWorkingMemory
EEGVisual Working Memory. Mostly unpublished! Beh data published here: 10.3758/s13415…
- Participants
- 27
- nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)
EEGBigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Size
- 1.95 GB
- Updated
- Jun 3, 2026