…array of investigations into normal cognition and mood regulation. This dataset is…
This dataset contains multimodal recordings from 18 participants performing a mental arithmetic task across eight levels of difficulty, designed to study cognitive workload. It includes 19-channel EEG, ECG, and Pupil Labs eye-tracking (pupillometry) data synchronized via Lab Streaming Layer and converted to BIDS from XDF recordings. Task events encode difficulty ranges based on Q-values, with a 60-second baseline followed by 70 randomized questions.
This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
Human electroencephalography (EEG) recordings from 80 participants who reported their attitudes on a set of sociopolitical issues and then viewed photographs of protests about those same issues. Each photo was preceded by a pie chart showing low, medium, or high social support for the issue. After each photo, participants rated their support for the protestors. The dataset supports investigation of how moral conviction and metacognitive ability shape multiple stages of information processing.
…a core component of social cognition, engaging spatially distributed and temporally evolving…
EEG dataset from a visual working memory experiment in which participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation. Color cues either predicted a 90° segment of possible orientations or gave no information about orientation. The dataset supports investigation of how diffuse predictions stabilize and reshape neural codes during memory encoding.
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.
…The study tests the **'Hot Cognition'** hypothesis by disentangling the temporal sequence…