NOD-EEG
NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026