Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …

Intolerance of uncertainty (IU), the tendency to find uncertainty aversive, is an important
transdiagnostic dimension in mental health disorders. Over the last decade, there has been …

Importance Computational psychiatry studies have investigated how reinforcement learning
may be different in individuals with mood and anxiety disorders compared with control …

Most psychiatric disorders do not occur in isolation, and most psychiatric symptom
dimensions are not uniquely expressed within a single diagnostic category. Current …

We systematically misjudge our own performance in simple economic tasks. First, we
generally overestimate our ability to make correct choices—a bias called overconfidence …

Anxiety has been related to decreased physical exploration, but past findings on the
interaction between anxiety and exploration during decision making were inconclusive …

Organisms learn from prediction errors (PEs) to predict the future. Laboratory studies using
small financial outcomes find that humans use PEs to update expectations and link …

People radically differ in how they cope with uncertainty. Clinical researchers describe a
dispositional characteristic known as “intolerance of uncertainty”, a tendency to find …

Fear and anxiety are adaptive emotions that serve important defensive functions, yet in
excess, they can be debilitating and lead to poor mental health. Computational modelling of …

Alterations in belief updating are proposed to underpin symptoms of psychiatric illness,
including psychosis, depression, and anxiety. Key parameters underlying belief updating …