100 results for "Brain-Computer Interfaces" · page 8 of 10 · ranked by relevance
[ # Brain Connectivity Based on EEG of Student…
…Learning from EEG error-related potentials in noninvasive brain-computer interfaces. IEEE…
This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.
…A Cross-Session Dataset for Collaborative Brain-Computer Interfaces Based on Rapid…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…J. (2017) Learning from label proportions in brain-computer interfaces: Online unsupervised…