100 results for "face processing" · page 4 of 10 · ranked by relevance
…RSVP face authentication; self-face vs AI-generated faces; 4 sessions over…
…p300 ## Signal Processing - **Feature extraction**: P300_ERP_detection ## Cross-Validation - **Method**: calibration…
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.
…In this task, an image of a face, car, scrambled face, or…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…supported project R01 MH122258 "CRCNS: Processing speed in the human connectome across…
The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
…the FACE and the MAZE game, intermixed with periods of REST and…
…False ## Signal Processing - **Classifiers**: LLP (Learning from Label Proportions), shrinkage-LDA, EM…
…dynamics inherent in visual cognitive processing. To address this limitation, we extended…