nm000115
Zhou2016
EEG
- Participants
- 4
- Channels
- 14 (10-10)
- Citations
- 82
- Size
- 152 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "sensorimotor learning" · page 7 of 10 · ranked by relevance
-
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEGThis dataset comprises EEG recordings from 12 healthy participants performing upper-limb motor imagery tasks centered on elbow movements. Participants executed kinesthetic imagery of nine goal-directed tasks (drawer opening, soup preparation, weight lifting, door opening, plate cleaning, combing, pizza cutting, and pick-and-place operations) plus rest, cued by visual stimuli. The dataset contains 330 trials recorded at 1000 Hz using 17 EEG channels and is designed for brain-computer interface (BCI) research and motor imagery classification studies.
- Participants
- 12
- Channels
- 17 (other)
- Citations
- 13
- HED
- v8.4.0
- Size
- 4.18 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005907
EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls
EEG[
- Size
- 5.65 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- Citations
- 51
- HED
- v8.4.0
- Size
- 8.67 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNC…Collaboration is highly welcome! Details of the learning task The auditory category…
- Participants
- 34
- Channels
- 72 (10-10)
- Citations
- 9
- Size
- 6.43 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment
EEGImported from OpenNeuro ds004022
- Participants
- 7
- Channels
- 18
- Citations
- 2
- Size
- 635 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 76
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004200
Temporal Scaling
BEH EEG[
- Citations
- 5
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEG…data from Mexican children with learning difficulties who strengthen reading and math…
- Participants
- 76
- Channels
- 32 (10-10)
- Citations
- 2
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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