on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG
This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.
- Participants
- 28
- Size
- 301 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026