100 results for "cognitive processing" · page 6 of 10 · ranked by relevance
…False Signal Processing ----------------- Classifiers: MDM, Riemannian Feature extraction: Bandpower, Covariance/Riemannian, ICA…
…False ## Signal Processing - **Classifiers**: MDM, Riemannian - **Feature extraction**: Bandpower, Covariance/Riemannian, ICA…
This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
…mixed cognitive tasks [(i) an extended multi-source interference task, MSIT+; (ii…
This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
…For online processing, a fifth-order Butterworth filter was applied in a…
This dataset contains EEG and eye-tracking recordings from 30 participants who searched for objects in naturalistic scenes and intentionally memorized others, followed by a surprise recognition memory test. The study examines the 'search superiority effect,' testing whether incidentally encoded memories differ qualitatively from intentional ones through recollection and familiarity processes indexed by FN400 and late parietal ERP components. Behavioral remember-know judgments and ROC analyses were used alongside EEG measures to disentangle these memory processes.
…Should be coming out in Cognitive, Affective, & Behavioral Neuroscience. THIS IS EXPERIMENT…
<!-- nemar:provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…
This dataset contains EEG/ERP data from an experiment examining sensitivity to semantic and syntactic violations in deaf readers. Participants read sentences presented word-by-word (RSVP) that contained subject-verb agreement violations, semantic violations, combined violations, word-order violations, or correct control sentences, while EEG was recorded. The study aims to characterize how deaf readers process linguistic anomalies at the neural level.