on004147
Average Task Value
BEH EEG
…Value Twelve participants completed three learning tasks. In each task the goal…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 4
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "implicit learning" · page 4 of 10 · ranked by relevance
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- on007431
Diffuse predictions stabilize and reshape neural code during memory encoding
EEGThis EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.
- Participants
- 47
- Channels
- 66 (10-10)
- Size
- 145 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNCThis multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
- Participants
- 20
- Size
- 429 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
ANAT EEG FUNCA multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
- Participants
- 21
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004515
EEG: Alcohol imagery reinforcement learning task with light and heavy drinker participants
EEG…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…
- Participants
- 54
- Channels
- 66 (10-10)
- Size
- 9.48 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006801
Resting-state EEG before and after different study methods
EEG…In the active learning group, participants completed a review session using the…
- Participants
- 21
- Channels
- 31
- Citations
- 1
- Size
- 1.32 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005356
MEG: Major Depression & Probabilistic Learning Task
MEG…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
- Participants
- 85
- Citations
- 2
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004317
Mood Manipulation and PST, Experiment 2
EEG…10.82901/nemar.on004317) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026