Computational Clinical Science Laboratory

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Drinking motives synchronize behavioral and neural craving responses to alcohol-drinking videos

A toolkit for easily building and evaluating machine learning models.

Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence".