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

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

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

Psychiatric research is in crisis. We highlight efforts to overcome current challenges by
focusing on the emerging field of computational psychiatry, which might enable the field to …

Computational psychiatry is an emerging field that examines phenomena in mental illness
using formal techniques from computational neuroscience, mathematical psychology, and …

Psychiatry faces fundamental challenges with regard to mechanistically guided differential
diagnosis, as well as prediction of clinical trajectories and treatment response of individual …

It is a pleasure to comment upon O'Callaghan et al.'s (1) work on hallucinations in
Parkinson's disease. Not only was this a compelling piece of neuroscientific psychiatry, it …

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 …

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 …

Translating progress in neuroscience into clinical benefits for patients with psychiatric
disorders is challenging because it involves the brain as the most complex organ and its …