Highlights•Computational psychiatry holds promise for mechanistic discovery in
addiction.•This approach captures latent factors driving behavioral differences from …

Suboptimal decision-making strategies have been proposed to contribute to the
pathophysiology of addiction. Decision-making, however, arises from a collection of …

Abstract Purpose of Review In this article, we provide a brief review of recent computational
modelling studies of substance use disorders (SUDs), with a focus on work published within …

Abstract Theory-driven and data-driven computational approaches to psychiatry have
enormous potential for elucidating mechanism of disease and providing translational …

In many cognitive tasks, lapses (spontaneous errors) are tacitly dismissed as the result of
nuisance processes like sensorimotor noise, fatigue, or disengagement. However, some …

Major depressive disorder (MDD) is a stress-related condition hypothesized to involve
aberrant reinforcement learning (RL) with positive and negative stimuli. The present study …

Background Only some individuals who use drugs recreationally eventually develop a
substance use disorder, characterized in part by the rigid engagement in drug foraging …

Background Results from neuroimaging studies suggest that disruptions in flexible decision-
making functions in substance-dependent individuals are a consequence of drug-induced …

Impulsive decisions are those that favor immediate over delayed rewards, involve the
acceptance of undue risk or uncertainty, or fail to adapt to environmental changes …

Background Compulsive patterns of drug use are thought to be the consequence of drug-
induced adaptations in the neural mechanisms that enable behavior to be flexible …