A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed data suitable for investigating neural correlates of binary choice behavior and semantic processing.
- Citations
- 5
- Size
- 153 GB
- Updated
- Jun 22, 2026