Mental health conditions such as attention-deficit/hyperactivity disorder (ADHD) and mood disorders show marked symptom heterogeneity, complicating diagnosis and treatment. Computational psychiatry offers a way forward by using mathematical models, such as sequential sampling models, applied to trial-by-trial behavior in well-defined neurocognitive tasks, to infer latent mechanisms underlying behavior. In ADHD, this approach has revealed consistent alterations in information integration (reduced…
