Shawn A Rhoads

This paper develops a recurrent neural network-based reinforcement learning framework to model decision-making deficits in schizophrenia, revealing suboptimal belief updating linked to neural dysfunction.

This study identifies a computational mechanism linking momentary craving and decision-making in substance use disorders, showing differential effects between alcohol and cannabis users.

The paper identifies three distinct types of prosocial decisions through a feature-based network analysis and fMRI meta-analysis, revealing diverging neural systems for each type.