nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEG Zarr
THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 88
- Size
- 241 GB
- Version
- v1.1.0
- Updated
- Jul 5, 2026