100 results for "attentional blink" · page 2 of 10 · ranked by relevance
…demands, and environmental complexity on attentional processing (see below for experiment details…
…Gaze (X, Y) - Pupil Size - Blinks - Saccades - Head Position (X, Y, Z…
…blinking) So please try to refrain from body movement and reduce blinking…
Imported from OpenNeuro ds002578
This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.
This dataset comprises EEG recordings from 65 participants during a laser-evoked pain stimulation paradigm. Participants received 30 laser stimuli at individually calibrated intensities and provided verbal pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain intensity ratings through concurrent electrophysiological recording.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006768-blue…
…You can blink whenever you see purple. A purple + means you have…
This dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.