Obsessive-compulsive disorder is a severe and disabling psychiatric disorder that presents
several challenges for neuroscience. Recent advances in its genetic and developmental …

Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

The outcome of a decision is often uncertain, and outcomes can vary over repeated
decisions. Whether decision outcomes should substantially affect behaviour and learning …

Background Computational models show great promise in map** latent decision-making
processes onto dissociable neural substrates and clinical phenotypes. One prominent …

Altered reward processing is thought to characterize binge‐type eating disorders, but the
exact nature of these alterations is unclear. A more fine‐grained understanding of whether …

A well-established notion in cognitive neuroscience proposes that multiple brain systems
contribute to choice behaviour. These include:(1) a model-free system that uses values …

Deep brain stimulation (DBS) is an invasive approach to precise modulation of
psychiatrically relevant circuits. Although it has impressive results in open-label psychiatric …

Internet gaming disorder (IGD) has become a global public health concern due to its
increasing prevalence and potential negative consequences. Researchers have sought to …

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 …

Highlights•Insensitivity to devaluation could be due to habits or weak goal-directed
control.•Limited direct evidence for habits as a function of behavioral repetition in …