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Computational Psychiatry


Computational Psychiatry publishes original research articles and reviews that involve the application, analysis, or invention of theoretical, computational and statistical approaches to mental function and dysfunction. Topics include brain modeling over multiple scales and levels of analysis, and the use of these models to understand psychiatric dysfunction, its remediation, and the sustenance of healthy cognition through the lifespan. The journal also has a special interest in computational issues pertaining to related areas such as law and education.

Computational Psychiatry is an Open Access journal.

Table of Contents

Vol. 3, 2019


Multiple Dissociations Between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence From Computationally Informed EEG
pp. 1-17
Abstract | PDF (1.11 MB)
Cost Evaluation During Decision-Making in Patients at Early Stages of Psychosis
pp. 18-39
Abstract | PDF (1.31 MB)
A Robot Model of OC-Spectrum Disorders: Design Framework, Implementation, and First Experiments
pp. 40-75
Abstract | PDF (1.62 MB)