Motor Imagery dataset from Weibo et al 2014
- Participants
- 10
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 1.60 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "Brain-Computer Interface" · page 9 of 10 · ranked by relevance
…Electroencephalography (EEG), P300, Brain-Computer Interface, Experiment ## Abstract We describe the experimental…
This 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.
…This resource supports brain-computer interface research and motor imagery classification studies…
…Electroencephalography (EEG), P300, Brain-Computer Interface (BCI), Experiment, Collaboration, Multi-User, Hyperscanning…
This dataset comprises intracranial EEG recordings from 22 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. It contains 115 high-frequency stimulation trials evoking visual hallucinations, with 21-second iEEG recordings per trial (8 seconds pre-stimulation, up to 5 seconds stimulation, 8 seconds post-stimulation). The dataset enables investigation of brain networks underlying visually evoked effects through alternating polarity biphasic pulse stimulation.
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…Open access dataset for hybrid brain-computer interfaces using EEG and NIRS…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004830-blue…