100 results for "ocular activity" · page 4 of 10 · ranked by relevance
…These tasks, which are publicly available, were optimized to capture neural activity…
…from a study investigating neural activity changes before and after an intervention…
A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
…focus on the prefrontal cortex activity in fourteen types of highly automated…
…either a reading activity, or a social activity. You can also find…
…pass FIR filter and removed ocular/muscular artefacts (manual eye-blink rejection…
…Personalized whole-brain activity patterns predict human corticospinal tract activation in real…
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.
…stereo-electrodes for recording neural activity in the brain. The data set…
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.