100 results for "EEG classification" · page 10 of 10 · ranked by relevance
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…
This dataset comprises auditory neurophysiological recordings investigating the relationship between auditory streaming perception and interoceptive awareness. Participants engaged in auditory tasks while electrophysiological signals were recorded, enabling examination of how the brain processes complex auditory scenes and integrates bodily state information during perceptual organization.
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…
This dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…
…The dataset contains 32-channel EEG recordings from 2 healthy subjects performing…
…31-channel EEG recorded at 1000 Hz with BrainProducts BrainAmp DC. Raw…
BigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each, using a 9x8 character grid with supervised and checkerboard stimulus paradigms. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, designed for machine learning applications in BCI speller systems. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with recordings from approximately 267 subjects across 20 studies.
…the largest public P300 BCI dataset, containing EEG recordings from ~267 subjects…