ds005363
Object recognition in healthy aging (ORHA) - EEG
EEG
- Participants
- 43
Discover datasets
100 results for "visual-motor adaptation" · page 8 of 10 · ranked by relevance
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- nm000245
Motor Imagery dataset from Cho et al 2017
EEG…motor imagery - **Feedback type**: none - **Stimulus type**: visual instruction - **Stimulus modalities**: visual…
- Citations
- 93
- Size
- 6.75 GB
- Updated
- Jun 3, 2026
- ds006963
Motor Control Processes Moderate Visual Working Memory Gating Dataset
EEG…Motor control processes moderate visual working memory gating. The Journal of Neuroscience…
- Participants
- 32
- nm000246
Multi-day MI-BCI dataset (WBCIC-SHU) from Yang et al 2025
EEG…A multi-day and high-quality EEG dataset for motor imagery brain…
- Citations
- 29
- Size
- 58.4 GB
- Updated
- Jun 3, 2026
- nm000235
Eye-BCI multimodal MI/ME dataset from Guttmann-Flury et al 2025
EEG…type**: visual rectangle cue - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous…
- Citations
- 8
- Size
- 4.65 GB
- Updated
- Jun 3, 2026
- ds005273
Neural representation of consciously seen and unseen information
EEG- Participants
- 33
- nm000267
Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEG…stimulus ├─ Visual-presentation └─ Rest Paradigm-Specific Parameters ---------------------------- Detected paradigm: motor_imagery Number…
- Citations
- 94
- Size
- 1.87 GB
- Updated
- Jun 12, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG…nm000141) # Motor execution dataset from Wairagkar et al 2018 Motor execution dataset…
- Citations
- 9
- Size
- 571 MB
- Updated
- May 16, 2026
- nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research
EEG…continuous visual - **Stimulus type**: blue bar varying in length - **Stimulus modalities**: visual…
- Citations
- 36
- Size
- 8.83 GB
- Updated
- Jun 19, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEGThe YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
- Size
- 9.91 GB
- Updated
- Jun 20, 2026