100 results for "visual processing" · page 2 of 10 · ranked by relevance
…understand the neurophysiological responses of visual processing, we investigated whether the response…
…to another person’s fingers (visual trials). There were 12 runs in…
…temporal dynamics inherent in visual cognitive processing. To address this limitation, we…
…False ## Signal Processing - **Classifiers**: LLP (Learning from Label Proportions), shrinkage-LDA, EM…
Imported from OpenNeuro ds003190
Imported from OpenNeuro ds003645
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.
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.
…Participants detected targets in simultaneous audio-visual noise.
This dataset comprises intracranial EEG recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, collected during visual stimulation tasks between 2017-2020. Participants viewed grayscale pattern stimuli varying in spatial and temporal properties, as well as color images of six object categories, while performing a fixation task. The dataset includes raw voltage data, common-average-referenced recordings, broadband responses, preprocessed epochs, and anatomical MRI scans with electrode localizations, enabling investigation of neural dynamics in human visual cortex.