nm000188
BNCI 2014-009 P300 dataset
EEG
- Size
- 70.0 MB
- Updated
- May 18, 2026
Discover datasets
60 results for "mismatch negativity" · page 6 of 6 · ranked by relevance
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- nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)
EEG- Size
- 483 MB
- Updated
- Jun 2, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Size
- 1.22 GB
- Updated
- Jun 3, 2026
- ds004033
Electrode walking study
EEG- Participants
- 18
- ds005340
Fundamental frequency predominantly drives talker differences in auditory brainstem responses to continuous speech
EEG- Participants
- 15
- ds006910
Auditory Naming
iEEG- Participants
- 121
- ds005403
Delayed Auditory Feedback EEG/EGG
EEG- Participants
- 32
- ds000248
ds000248
MEG MRI- Participants
- 1
- nm000266
Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
EEGAn auditory event-related potential dataset from 13 healthy subjects performing an oddball paradigm with two sinusoidal tones (target 1000 Hz, non-target 500 Hz) presented at variable stimulus onset asynchronies (60-600 ms). The dataset comprises 31-channel EEG recordings at 1000 Hz acquired with BrainProducts BrainAmp DC, designed to evaluate Bayesian optimization strategies for automated selection of individually optimal stimulation parameters in brain-computer interface applications.
- Size
- 3.66 GB
- Updated
- Jun 3, 2026
- nm000264
Vaineau, Barachant & Andreev 2013 — Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset (BI2013a)
EEGThis dataset comprises electroencephalographic recordings from 24 healthy subjects performing a visual P300 brain-computer interface task based on the Brain Invaders video game paradigm. The study compares adaptive versus non-adaptive calibration approaches using Riemannian geometry for classifier training. EEG data were acquired using 16 electrodes at 512 Hz sampling rate during sessions conducted at GIPSA-lab, Grenoble, France in 2013.
- Size
- 1.71 GB
- Updated
- Jun 3, 2026