NOD-MEG
NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026