74 results for "Magnetoencephalography" · page 8 of 8 · ranked by relevance
Imported from OpenNeuro ds004022
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 electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
The CrossModal Study investigates how the brain prepares for and discriminates targets across sensory modalities using concurrent frequency-tagged visual and auditory stimulation. Participants performed a target discrimination task with cues indicating whether targets would be visual (Gabor patches) or auditory (tones), followed by a 3-second preparation interval with frequency-tagged stimuli (36 Hz visual, 40 Hz auditory). The dataset includes MEG recordings, behavioral responses, and eye-tracking data from healthy control participants performing the task with and without cross-modal distractors.