Francesca K Cormack

The paper develops a hierarchical reinforcement learning model to explain individual differences in attentional set shifting using CANTAB IED data and psychiatric symptom assessments.

This study uses computational modeling to analyze risky decision-making in a general population sample, finding that decision parameters correlate with age and gender but not mental health symptoms.