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 "sensorimotor learning" · page 6 of 10 · ranked by relevance
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- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNCThis 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.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG…Online performance is reported for three completely unsupervised learning methods: (1) learning…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
EEG MOTIONThis dataset contains multimodal brain–machine interface (BMI) recordings from seven healthy adults who trained over nine longitudinal sessions to control a lower-limb exoskeleton via motor imagery. It includes 60-channel EEG, 4-channel EOG, dual IMU motion data, and exoskeleton control/feedback signals collected during open-loop calibration and closed-loop walk/stop trials. The dataset supports research on EEG-based decoding of motor imagery for neurorehabilitation and human-robot interaction applications.
- Participants
- 7
- Channels
- 60
- Citations
- 2
- Size
- 3.62 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 99
- HED
- v8.1.0
- Size
- 11.1 GB
- 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
- nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)
EEGThis dataset comprises scalp EEG recordings from 27 stroke patients performing a lower-limb motor imagery task as part of a multi-paradigm, longitudinal rehabilitation training protocol. Data were collected at Tianjin University to support research on motor-imagery brain-computer interfaces for gait and lower-limb rehabilitation after stroke. The dataset is organized in BIDS format with a single EEG task (task-imagery) across repeated sessions.
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 23
- HED
- v8.4.0
- Size
- 56.7 GB
- Version
- v1.0.5
- Updated
- Aug 20, 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
- 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
- on007353
HAD-MEEG
ANAT EEG MEGHAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026