BNCI2003_IVa Motor Imagery dataset
…motor_imagery - **Imagery tasks**: right_hand, feet - **Cue duration**: 3.5 s…
- Participants
- 5
- Channels
- 118 (10-05)
- Citations
- 86
- HED
- v8.4.0
- Size
- 493 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
100 results for "motor adaptation task" · page 8 of 10 · ranked by relevance
…motor_imagery - **Imagery tasks**: right_hand, feet - **Cue duration**: 3.5 s…
This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.
…eeg/` modality with a motor-imagery task (`task-imagery`). ## Modality and paradigm…
The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
…motor_imagery - **Imagery tasks**: left_hand, right_hand - **Cue duration**: 2.0…
…motor_imagery - **Imagery tasks**: left_hand, right_hand - **Cue duration**: 3.0…
[. The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
…motor_imagery Imagery tasks: left_hand, right_hand, feet Cue duration: 1…