on004212
THINGS-MEG
ANAT MEG
THINGS-MEG is a large-scale magnetoencephalographic dataset comprising neural recordings from 4 participants viewing 22,448 unique photographic images representing 1,854 object concepts from the THINGS database across 12 sessions. This MEG dataset is part of the multimodal THINGS-data collection, which integrates MEG recordings with behavioral judgments and complementary neuroimaging modalities (fMRI, behavioral data) to enable comprehensive investigation of visual and semantic object processing. The dataset includes structural MRI for source localization and eye-tracking data, providing rich temporal measurements of object representations.
- Size
- 1.03 TB
- Updated
- Jun 23, 2026