Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
Imported from OpenNeuro ds003825
- Participants
- 50
- Channels
- 63
- Citations
- 1
- Size
- 59.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "motor imagery classification" · page 10 of 10 · ranked by relevance
Imported from OpenNeuro ds003825
0. Sections ------------ 1. Project 2. Dataset 3. Terms of Use 4. Contents…
…from moabb.paradigms import MotorImagery paradigm = MotorImagery() dataset = AguileraRodriguez2025() X, y, metadata…
This dataset comprises preprocessed EEG recordings from 16 native French-speaking participants performing a forced picture naming task. Participants viewed images from the Snodgrass & Vanderwart corpus and were required to name them while EEG activity was recorded across baseline, visual stimulation, and naming phases. The dataset contains 270 trials per subject and was used to characterize spatiotemporal dynamics in EEG data using optical flow pattern analysis. Note: 16 participants represent the final cohort after 4 exclusions from an initial 20 subjects due to hardware failure.
…motor_imagery - **Imagery tasks**: right_hand, left_hand, feet ## Data Structure - **Trials…
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.
…different from traditional P300 or motor imagery paradigms. The paradigm is designed…
Imported from OpenNeuro ds003190
…studies for Alzheimer's risk classification. PLOS ONE. https://doi.org/10…