Computational Psychiatry

<p>Meeting Emerging Challenges and Opportunities in Psychiatry Through Computational Neuroscience<br><br>Section I. Applying Circuit Modeling to Understand Psychiatric Symptoms<br>1. Cortical Circuit Models in Psychiatry: Linking Disrupted Excitation-Inhibition Balance to Cognitive Deficits Associated with Schizophrenia<br>2. Serotonergic Modulation of Cognition in Prefrontal Cortical Circuits in Major Depression<br>3. Dopaminergic Neurons in the Ventral Tegmental Area and their Dysregulation in Nicotine Addiction<br><br>Section II. Modeling Neural System Disruptions in Psychiatric Illness<br>4. Computational Models of Dysconnectivity in Large-Scale Resting-State Networks<br>5. Dynamic Causal Modelling and its Application to Psychiatric Disorders<br>6. Systems Level Modeling of Cognitive Control in Psychiatric Disorders: A focus on schizophrenia<br>7. Computational Psychiatry: Mathematical Modeling of Mental Illness<br><br>Section III: Characterizing Complex Psychiatric Symptoms via Mathematical Models<br>8. A Case Study in Computational Psychiatry: Addiction as Failure Modes of the Decision-Making System<br>9. Modeling Negative Symptoms in Schizophrenia<br>10. Bayesian Approaches to Learning and Decision Making<br>11. Computational Phenotypes Revealed by Interactive Economic Games</p>