This dataset contains EEG recordings from participants viewing stereoscopic scenes in a mixed reality environment, collected to characterize visual fatigue. Participants watched 2 resting scenes and 15 movement scenes, each followed by a rating scene. The data support both resting-state and task-state analyses.
…relevance vector machines for brain-computer interface applications. ## Dataset Summary | Property | Value…
MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.
…Intensity Interval Training (HIIT) and pressure pain tests, while brain oxygenation was…
…Brain-Computer Interface, BCI, Broad-Band Visually Evoked Potentials, BBVEP, Gold codes…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.
…Objective interictal electrophysiology biomarkers optimize prediction of epilepsy surgery outcome. Brain Commun…
…At the molecular level, EPO-related transcriptional responses in the brain have…
…Gaze-independent brain-computer interface based on covert spatial attention shifts for…
…Beamforming, brain-computer interfaces, common spatial patterns, electroencephalography, motor imagery, spatial filtering…