Auditory naming task with questions that begin or end with a wh-interrogative
[. Participants received auditory and visual cues to imagine speaking each vowel, with 64-channel EEG data acquired at 256 Hz. The dataset includes 2,400 trials generating 7,200 overlapping 2-second epochs (8 subjects × 300 trials × 3 overlapping epochs per trial) analyzed using Riemannian manifold-based feature extraction and relevance vector machine classification for brain-computer interface applications, achieving approximately 49% mean accuracy across a 10-fold cross-validation scheme.
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.
[ with flankers reading task involving sentences with semantic and syntactic violations. The study examined neural responses to subject-verb agreement violations, semantic violations, combined violations, and word-order violations compared to grammatically correct control sentences. Data were collected at the NeuroCognition Laboratory at San Diego State University under IRB approval.
This dataset contains intracranial electrophysiological (iEEG) recordings and behavioral event data from patients performing a paired associates memory task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied pairs of words, completed a distractor arithmetic task, and performed cued recall to test memory for word pairs. The dataset supports research into the neural basis of associative memory encoding and retrieval using intracranial recordings.
…This makes the task great for investigating reward processing & reward prediction error…