Computational Psychiatry: Mathematical Modeling of Mental Illness

Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field. Offers an in-depth overview of the rapidly evolving field of computational psychiatryWritten for academics, researchers, advanced students and clinicians in the fields of computational neuroscience, clinical neuroscience, psychiatry, clinical psychology, neurology and cognitive neuroscienceProvides a comprehensive survey of work from leaders in this field and a presentation of a range of computational psychiatry methods and approaches geared towards a broad array of psychiatric problems INDICE: Section 1 Background/Introduction 1. Emerging Directions in Psychiatry: Towards Clinical Neuroscience 2. Categories versus Dimensions: Mapping Abnormal Behavior onto Neural Circuits 3. Emerging Directions in Computational Neuroscience: Applications of Computational Modeling Across Levels of Analysis Section 2 Understanding Microcircuit Disruptions in Psychiatric Illness 4. Biophysically-Based Circuit Models of Cognitive Function and Dysfunction in Psychiatric Disorders 5. Pathological Oscillatory Dynamics in Neural Circuits  6. Serotonergic Modulation of Cognition in Prefrontal Cortical Circuits in Major Depression 7. Dopaminergic Neurons in the VTA and their Dysregulation in Addiction Section 3 Computational Modeling and Neural System Disruptions 8. Cognitive Control in Psychiatric Disorders 9. Dysconnectivity in Large-Scale Resting-State Networks 10. Dynamic Causal Modeling and its Application to Psychiatric Disorders 11. Formation of Delusions and Psychosis in Models of Bayesian Inference and Predictive Coding 12. Multiple Decision Making Systems & Addiction Section 4 Using Computational Modeling to Understand Complex Psychiatric Symptoms 13. Negative Symptoms in Schizophrenia 14. Adaptive Inhibitory Control 15. Bayesian Learning and Decision Making 16. Model-Based and Model-Free Reinforcement Learning in Psychiatric Disorders 17. Reid Montague - Modeling Neuroeconomic Processes in Psychiatry Concluding Remarks and Future Directions 18. Towards Computational Psychiatry

• ISBN: 978-0-12-809825-7
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/09/2017
• Nº Volúmenes: 1
• Idioma: Inglés