Munich Motor Imagery dataset
- Size
- 5.42 GB
- Updated
- May 25, 2026
100 results for "sensorimotor learning" · page 6 of 10 · ranked by relevance
…nemar.on004515) Affective state reinforcement learning task in N=54 Community participants…
…10.82901/nemar.on004317) Reinforcement learning task with 50 healthy controls (25…
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
…Online performance is reported for three completely unsupervised learning methods: (1) learning…
Imported from OpenNeuro ds004362
…the Optimum-1 for MMN, the learning-oddball for P3b, and the…