100 results for "BCCWJ-Brain" · page 2 of 10 · ranked by relevance
…Department of Brain and Cognitive Engineering Address: 145 Anam-ro, Seongbuk-gu…
Electroencephalography data for paper titled "Precise cortical contributions to feedback sensorimotor control…
…brain-only [no artifacts], or brain with eye, jaw muscle, neck muscle…
Imported from OpenNeuro ds006126
…Personalized whole-brain activity patterns predict human corticospinal tract activation in real…
A longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
…inter-brain synchrony in collaborative BCI - **Feedback type**: visual - **Stimulus type**: visual…
…Brain invaders adaptive versus non-adaptive P300 brain-computer interface dataset. arXiv…
…The research demonstrates how transcranially delivered diagnostic ultrasound (tDUS) modulates the brain…
The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.