on004395
Penn Electrophysiology of Encoding and Retrieval Study (PEERS)
BEH EEG
…either GSN 200 model or HydroCel GSN model) using the Netstation acquisition…
- Citations
- 5
- Size
- 8.71 TB
- Updated
- Jun 17, 2026
Discover datasets
100 results for "model-based learning" · page 9 of 10 · ranked by relevance
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- nm000216
P300 dataset BI2015a from a "Brain Invaders" experiment
EEG…g.tec - **Cap model**: g.GAMMAcap - **Electrode type**: wet - **Electrode material**: Silver…
- Citations
- 17
- Size
- 1.93 GB
- Updated
- Jun 3, 2026
- nm000244
P300 dataset BI2014a from a "Brain Invaders" experiment
EEG…g.tec - **Cap model**: g.Sahara - **Electrode type**: dry 8-pins gold…
- Citations
- 7
- Size
- 1.03 GB
- Updated
- Jun 3, 2026
- nm000121
Oikonomou2016 – SSVEP MAMEM 3 dataset
EEG…EGI - **Cap model**: HydroCel Geodesic Sensor Net (HCGSN) - **Electrode type**: wet - **Auxiliary…
- Citations
- 39
- Size
- 119 MB
- Updated
- May 16, 2026
- ds004703
PassiveListen
iEEG…training set for commercial machine learning applications. These data may not be…
- Participants
- 10
- on003392
NeuroSpin hMT+ Localizer DATA (MEG & aMRI)
ANAT MEG…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
- Citations
- 32
- Size
- 10.1 GB
- Updated
- Jun 21, 2026
- ds007081
Passive but accessible: Studied information is not actively stored in working memory, yet attended regardless of anticipated load
EEG…be studied (learned in the learning phase) or novel/unstudied. After a…
- Participants
- 41
- nm000215
P300 dataset BI2014b from a "Brain Invaders" experiment
EEG…g.tec - **Cap model**: g.GAMMAcap - **Electrode type**: wet - **Electrode material**: Ag…
- Citations
- 7
- Size
- 401 MB
- Updated
- Jun 3, 2026
- ds004078
A synchronized multimodal neuroimaging dataset to study brain language processing
MEG MRI…Text embeddings computed by different pre-trained language models (including Word2Vec, BERT…
- Participants
- 12
- ds004196
FMRI-EEG Prestudy
MRI EEG…https://github.com/LTU-Machine-Learning/Inner\_Speech\_EEG\_FMRI Publication available…
- Participants
- 4