Why has computational psychiatry yet to influence routine clinical practice? One reason may
be that it has neglected context and temporal dynamics in the models of certain mental …

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

Computational psychiatry (CP) is a burgeoning field that uses mathematical approaches to
investigate psychiatric disorders, derive quantitative predictions, and integrate data across …

Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …

Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …

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

Computational psychiatry is a rapidly emerging field that uses model-based quantities to
infer the behavioral and neuronal abnormalities that underlie psychopathology. If successful …

This article outlines how a core concept from theories of homeostasis and cybernetics, the
inference-control loop, may be used to guide differential diagnosis in computational …

Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

Highlights•We summarize recent progress in computational and physiological
models.•These advances provide a basis for future diagnostic applications in psychiatry.•A …