100 results for "brain-computer interfaces" · page 7 of 10 · ranked by relevance
…VR, mobile computing, and brain-computer interfaces. This is the largest public…
Imported from OpenNeuro ds002718
…Bayesian optimization, individual experimental parameters, brain-computer interfaces, learning from small data…
…Demonstrates feasibility of gesture-free interfaces - **Room for improvement**: Performance gap vs…
…Riemannian geometry, Online, Asynchronous, Brain-Computer Interfaces, Steady State Visually Evoked Potentials…
…Autism for P300-Based Brain-Computer- Interfaces. Frontiers in Neuroscience, 14, 568104…
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.
…Learning from EEG error-related potentials in noninvasive brain-computer interfaces. IEEE…
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.
…A Cross-Session Dataset for Collaborative Brain-Computer Interfaces Based on Rapid…