…Neocortical and hippocampal theta oscillations track audiovisual integration and replay of speech…
EEG recordings from 13 healthy participants performing an auditory oddball (P300) paradigm with target (1000 Hz) and non-target (500 Hz) tones at stimulus onset asynchronies between 60 and 600 ms. The study evaluated closed-loop Bayesian optimization and random search to find each individual's best stimulation speed for maximizing classification performance of a regularized LDA. The data comprise 31-channel EEG sampled at 1000 Hz, with an optimization part and a validation part.
…Arabic EEG Dataset This dataset is a collection of Inner Speech EEG…
…set to the mean f0s used for the speech The code for…
EEG dataset from 11 healthy participants performing a 3-class auditory brain-computer interface task based on auditory stream segregation. Musical tones forming three tone streams were presented to the right ear, and participants attended to one stream while counting target stimuli, which elicited P300 activity. Recordings comprise 64-channel EEG and 2-channel EOG at 1000 Hz. Classification based on Riemannian geometry achieved over 80% accuracy for five subjects and over 75% for nine subjects in 10-fold cross-validation.
MorseEEG-ATP is a multitask EEG dataset for studying auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronized 62-channel EEG and behavioral data from 32 healthy adults performing dot-count and first-last match discrimination tasks at three presentation rates (15, 30, and 40 characters per minute). The release includes raw and minimally preprocessed EEG, event annotations, behavioral measures, and analysis scripts in an EEG-BIDS structure.
EEG recordings from 14 healthy participants performing a visual P300 oddball BCI task for controlling a Bluetooth speaker, one of several home appliances in the original study. The task used a 6-class flash-stimulus paradigm on an LCD display. Data were recorded from 31 channels at 500 Hz, with 50 training and 30 testing blocks per subject. The dataset supports research on ERP-based BCIs for home appliance control and inter-subject transfer learning.
High-density (127-channel) EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks. Stimuli were four Chinese strokes (heng, shu, pie, na) and four English letters (a, b, c, d). The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions and 15,360 task events. The release also includes EEGLAB preprocessing derivatives and subject-level machine-learning exports.
…TASK Participants passively listened to 30-45s passages of conversational speech and…
EEG recordings from 13 participants using a P300-based visual speller that relies on covert spatial attention and non-spatial feature attention (color and form), so users do not need to move their gaze. The study compared three speller variants (Hex-o-Spell, Cake Speller, Center Speller) in a calibration and online-test design. Data were recorded with 63 channels at 250 Hz, and event markers distinguish target from non-target intensifications.