Alan Anticevic, Ph.D., is an Assistant Professor of Psychiatry and Psychology at Yale University School of Medicine, where he co-directs a research division and laboratory focused on the integration of cognitive, computational and clinical neuroimaging approaches with the objective of understanding the neurobiology of neuropsychiatric disorders. He received his Ph.D. in Clinical Neuropsychology and Cognitive Neuroscience from Washington University in St. Louis. John D. Murray, Ph.D., is an Assistant Professor of Psychiatry, Neuroscience, and Physics at Yale University School of Medicine, where he directs a research program in computational neuroscience with a focus on computational models of neuropsychiatric disorders. He received his Ph.D. in Physics from Yale University, and was a postdoctoral researcher at New York University.

• Meeting Emerging Challenges and Opportunities in Psychiatry Through Computational NeuroscienceSection I. Applying Circuit Modeling to Understand Psychiatric Symptoms1. Cortical Circuit Models in Psychiatry: Linking Disrupted Excitation-Inhibition Balance to Cognitive Deficits Associated with Schizophrenia2. Serotonergic Modulation of Cognition in Prefrontal Cortical Circuits in Major Depression3. Dopaminergic Neurons in the Ventral Tegmental Area and their Dysregulation in Nicotine AddictionSection II. Modeling Neural System Disruptions in Psychiatric Illness4. Computational Models of Dysconnectivity in Large-Scale Resting-State Networks5. Dynamic Causal Modelling and its Application to Psychiatric Disorders6. Systems Level Modeling of Cognitive Control in Psychiatric Disorders: A focus on schizophrenia7. Computational Psychiatry: Mathematical Modeling of Mental IllnessSection III: Characterizing Complex Psychiatric Symptoms via Mathematical Models8. A Case Study in Computational Psychiatry: Addiction as Failure Modes of the Decision-Making System9. Modeling Negative Symptoms in Schizophrenia10. Bayesian Approaches to Learning and Decision Making11. Computational Phenotypes Revealed by Interactive Economic Games

Alan Anticevic, Ph.D., is an Assistant Professor of Psychiatry and Psychology at Yale University School of Medicine, where he co-directs a research division and laboratory focused on the integration of cognitive, computational and clinical neuroimaging approaches with the objective of understanding the neurobiology of neuropsychiatric disorders. He received his Ph.D. in Clinical Neuropsychology and Cognitive Neuroscience from Washington University in St. Louis. John D. Murray, Ph.D., is an Assistant Professor of Psychiatry, Neuroscience, and Physics at Yale University School of Medicine, where he directs a research program in computational neuroscience with a focus on computational models of neuropsychiatric disorders. He received his Ph.D. in Physics from Yale University, and was a postdoctoral researcher at New York University.

• Meeting Emerging Challenges and Opportunities in Psychiatry Through Computational NeuroscienceSection I. Applying Circuit Modeling to Understand Psychiatric Symptoms1. Cortical Circuit Models in Psychiatry: Linking Disrupted Excitation-Inhibition Balance to Cognitive Deficits Associated with Schizophrenia2. Serotonergic Modulation of Cognition in Prefrontal Cortical Circuits in Major Depression3. Dopaminergic Neurons in the Ventral Tegmental Area and their Dysregulation in Nicotine AddictionSection II. Modeling Neural System Disruptions in Psychiatric Illness4. Computational Models of Dysconnectivity in Large-Scale Resting-State Networks5. Dynamic Causal Modelling and its Application to Psychiatric Disorders6. Systems Level Modeling of Cognitive Control in Psychiatric Disorders: A focus on schizophrenia7. Computational Psychiatry: Mathematical Modeling of Mental IllnessSection III: Characterizing Complex Psychiatric Symptoms via Mathematical Models8. A Case Study in Computational Psychiatry: Addiction as Failure Modes of the Decision-Making System9. Modeling Negative Symptoms in Schizophrenia10. Bayesian Approaches to Learning and Decision Making11. Computational Phenotypes Revealed by Interactive Economic Games

Alan Anticevic, Ph.D., is an Assistant Professor of Psychiatry and Psychology at Yale University School of Medicine, where he co-directs a research division and laboratory focused on the integration of cognitive, computational and clinical neuroimaging approaches with the objective of understanding the neurobiology of neuropsychiatric disorders. He received his Ph.D. in Clinical Neuropsychology and Cognitive Neuroscience from Washington University in St. Louis. John D. Murray, Ph.D., is an Assistant Professor of Psychiatry, Neuroscience, and Physics at Yale University School of Medicine, where he directs a research program in computational neuroscience with a focus on computational models of neuropsychiatric disorders. He received his Ph.D. in Physics from Yale University, and was a postdoctoral researcher at New York University.

• Meeting Emerging Challenges and Opportunities in Psychiatry Through Computational NeuroscienceSection I. Applying Circuit Modeling to Understand Psychiatric Symptoms1. Cortical Circuit Models in Psychiatry: Linking Disrupted Excitation-Inhibition Balance to Cognitive Deficits Associated with Schizophrenia2. Serotonergic Modulation of Cognition in Prefrontal Cortical Circuits in Major Depression3. Dopaminergic Neurons in the Ventral Tegmental Area and their Dysregulation in Nicotine AddictionSection II. Modeling Neural System Disruptions in Psychiatric Illness4. Computational Models of Dysconnectivity in Large-Scale Resting-State Networks5. Dynamic Causal Modelling and its Application to Psychiatric Disorders6. Systems Level Modeling of Cognitive Control in Psychiatric Disorders: A focus on schizophrenia7. Computational Psychiatry: Mathematical Modeling of Mental IllnessSection III: Characterizing Complex Psychiatric Symptoms via Mathematical Models8. A Case Study in Computational Psychiatry: Addiction as Failure Modes of the Decision-Making System9. Modeling Negative Symptoms in Schizophrenia10. Bayesian Approaches to Learning and Decision Making11. Computational Phenotypes Revealed by Interactive Economic Games