The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.

� propos de l?auteur

V Srinivasa Chakravarthy obtained his PhD degree from the University of Texas at Austin and received postdoctoral training from Baylor College of Medicine, Houston. He is currently a professor in the Department of Biotechnology, at Indian Institute of Technology Madras, India. His research interests are in the areas of computational neuroscience, computational cardiology and machine learning. In computational neuroscience, his interests in modeling of basal ganglia to understand Parkinson's Disease, modeling neuron-astrocyte-vascular networks and modeling spatial cells of hippocampus. He has written an e-book titled "Demystifying the Brain" which presents the contemporary computational perspective of the brain to the lay reader using a minimum of equations.
Dr. Ahmed Moustafa is a Senior Lecturer in Cognitive and Behavioural Neuroscience at Marcs Institute for Brain, Behaviour, and Development & School of Social Sciences and Psychology, Western Sydney University. Ahmed Moustafa is trained in computer science, psychology, neuroscience, and cognitive science. His early training took place at Cairo University in mathematics and computer science. Before joining Western Sydney University as a lab director, Ahmed spent 11 years in America studying psychology and neuroscience. Ahmed conducts research on computational and neuropsychological studies of addiction, schizophrenia, Parkinson's disease, PTSD, and depression. He has published over 130 papers in high-ranking journals including Science, PNAS, Journal of Neuroscience, Brain, Neuroscience and Biobehavioral Reviews, Nature (Parkinson's disease), Neuron, among others. His recent book, Computational models of brain and behavior, provides a comprehensive overview of recent advances in the field of computational neuroscience.

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