Recent research in cognitive neuroscience has begun to uncover the processes underlying
increasingly complex voluntary behaviours, including learning and decision-making. Partly …

Computational ideas pervade many areas of science and have an integrative explanatory
role in neuroscience and cognitive science. However, computational depictions of cognitive …

Psychiatry research has long experienced a stagnation stemming from a lack of
understanding of the neurobiological underpinnings of phenomenologically defined mental …

A central goal of computational psychiatry is to identify systematic relationships between
transdiagnostic dimensions of psychiatric symptomatology and the latent learning and …

Psychiatric disorders profoundly impair many aspects of decision making. Poor choices
have negative consequences in the moment and make it very hard to navigate complex …

Computational psychiatry is a flourishing, yet relatively novel, branch of psychiatric research.
It represents an integrative approach to psychopathology that draws on advances in systems …

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and
computational theories with which we can disentangle psychiatric conditions into the basic …

Popular computational models of decision-making make specific assumptions about
learning processes that may cause them to underfit observed behaviours. Here we suggest …

Computational Psychiatry aims to describe the relationship between the brain's
neurobiology, its environment and mental symptoms in computational terms. In so doing, it …

Highlights•Computational approaches provide novel insights into psychiatric
conditions.•There exist several challenges for translating the approaches into clinical …