Research in computational psychiatry is dominated by models of behavior. Subjective
experience during behavioral tasks is not well understood, even though it should be relevant …

Importance Major depressive disorder (MDD) is associated with deficits in representing
reward prediction errors (RPEs), which are the difference between experienced and …

The subjective well-being or happiness of individuals is an important metric for societies.
Although happiness is influenced by life circumstances and population demographics such …

Links between affective states and risk-taking are often characterised using summary
statistics from serial decision-making tasks. However, our understanding of these links, and …

Background Motivational deficit is a core clinical manifestation of depression and a strong
predictor of treatment failure. However, the underlying mechanisms, which cannot be …

Background Inflammation rapidly impairs mood and cognition and, when severe, can
appear indistinguishable from major depression. These sickness responses are …

Affective bias–a propensity to focus on negative information at the expense of positive
information–is a core feature of many mental health problems. However, it can be caused by …

Schizophrenia is a heterogeneous spectrum disorder often associated with detrimental
negative symptoms. In recent years, computational approaches to psychiatry have attracted …

Depressive pathology, which includes both heightened negative affect (eg, anxiety) and
reduced positive affect (eg, anhedonia), is known to be associated with sub-optimal decision …

Computational psychiatry focuses on identifying core cognitive processes that appear
altered across distinct psychiatric disorders. Temporal discounting of future rewards and …