100 results for "perceptual decision-making" · page 9 of 10 · ranked by relevance
…LDA, SVM, Random Forest, kNN, Naive Bayes, CCA, ELM, Decision Trees - **Feature…
This dataset contains EEG recordings from 16 participants viewing object images presented in eight different 2-D rotations, using rapid visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of rotation-tolerant object representations and the time course of high-level visual object processing. EEG data are formatted according to the BIDS standard.
…a battery of cognitive and perceptual paradigms. The resource was designed to…
This dataset comprises concurrent EEG and EMG recordings collected during a visual perception task examining symmetry detection and affective responses. Participants viewed visual patterns and made judgments about pattern regularity following stimulus offset, providing insights into the neural and physiological correlates of symmetry perception.
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.
…Stimuli and TextGrids are available from the Massive Auditory Lexical Decision database…
This dataset contains EEG recordings from participants performing a novel instruction-following task and an accompanying 1-back localizer task, designed to investigate how complex task instructions are represented and implemented in the brain. Each participant completed a single session including 16 blocks of the main instruction-following task, requiring integration or selection of visual features across sequential instruction screens, and 8 blocks of a localizer task. The dataset is intended to support research on instruction-based cognitive control and rule representation.
This dataset contains continuous 64-channel scalp EEG recordings from 12 right-handed subjects performing a visual attention task designed to examine dimension-based attentional modulation of early visual processing. The data include independent component analysis (ICA) decompositions with expert-annotated component labels, originally collected for a study on visual attention and later reused for research on automatic classification of independent components. The dataset was converted to BIDS format from the original recordings with permission from the original authors.
…If the decision was correct, they were to begin watching the next…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.