Addiction is a complex biopsychosocial phenomenon, impacted by biological
predispositions, psychological processes, and the social environment. Using mathematical …

Drug addiction remains one of the most important public health problems in western
societies and is a rising concern for developing nations. Over the past 3 decades …

In their recent article (Time to connect: bringing social context into addiction neuroscience
(Nat. Rev. Neurosci. 17, 592–599 (2016)) 1, Heilig et al. suggest that the lack of progress …

Non-pharmacological behavioral addictions, such as pathological gambling, videogaming,
social networking, or internet use, are becoming major public health concerns. It is not yet …

In this brief review, we describe current computational models of drug-use and addiction that
fall into 2 broad categories: mathematically based models that rely on computational …

According to the United Nations, approximately 24.7 million people used amphetamines, 16
million used cocaine, and 12 million used heroin in 2006/07 (Costa, 2008). Full recovery …

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 …

Maladaptive behavior in drug addiction is widely regarded as a result of neurocognitive
dysfunctions. Recently, there has been a growing trend to adopt computational methods to …

Computational models of addiction often rely on a model-free reinforcement learning (RL)
formulation, owing to the close associations between model-free RL, habitual behavior and …

The allostatic theory of drug abuse describes the brain's reward system alterations as
substance misuse progresses. Neural adaptations arising from the reward system itself and …