Mood Manipulation and PST, Experiment 1
…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 9.81 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "implicit learning" · page 2 of 10 · ranked by relevance
…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
…Value Twelve participants completed three learning tasks. In each task the goal…
This 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.
…Online performance is reported for three completely unsupervised learning methods: (1) learning…
This 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.
A 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.
…Motor Imagery Dataset B — transfer learning benchmark ## Overview Beetl2021-B is a…
…Motor Imagery Dataset A — transfer learning benchmark ## Overview Beetl2021-A is a…
…For learning trial 1, participants are placed at a random location at…
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…