…Between runs, participants completed 4 multiple-choice comprehension questions presented visually on…
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.
EEG, pupillometry, and behavioral data from 28 healthy adults performing an auditory fear conditioning paradigm with voice stimuli. Participants localized voices (left or right) across Pre-Conditioning, Conditioning, and Extinction phases, with conditioned voices paired with an aversive loud white noise using 50% partial reinforcement. The dataset supports research on emotional learning and auditory threat processing.
…This experiment aims to address these gaps by creating a comprehensive multimodal…
SINGSING is a simultaneous EEG and MEG dataset from twenty adult participants who listened to harmonic complex sounds that varied in frequency in an auditory oddball paradigm. It supports investigation of pre-attentive pitch processing at sensor and source levels, and allows comparison of EEG and MEG recordings acquired at the same time.
Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.
…Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals…
…Task ---- - **Task label:** `alicelistening` - Passive listening to continuous naturalistic speech (an audiobook…
[ 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.