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Computational Neuroscience Models of the Basal Ganglia

  • Book
  • © 2018

Overview

  • Exhaustively reviews the key recent research into the empirical and theoretical work on basal ganglia function
  • Presents neuroscience models of the basal ganglia in dopamine, deep brain stimulation, motor processes, and many other topics
  • Demonstrates the link between the computational models presented with the function of the basal ganglia

Part of the book series: Cognitive Science and Technology (CSAT)

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Table of contents (15 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India

    V. Srinivasa Chakravarthy

  • Cognitive and Behavioural Neuroscience, Western Sydney University, Sydney, Australia

    Ahmed A. Moustafa

About the authors


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. 


Bibliographic Information

  • Book Title: Computational Neuroscience Models of the Basal Ganglia

  • Authors: V. Srinivasa Chakravarthy, Ahmed A. Moustafa

  • Series Title: Cognitive Science and Technology

  • DOI: https://doi.org/10.1007/978-981-10-8494-2

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-8493-5Published: 03 April 2018

  • Softcover ISBN: 978-981-13-4168-7Published: 29 December 2018

  • eBook ISBN: 978-981-10-8494-2Published: 21 March 2018

  • Series ISSN: 2195-3988

  • Series E-ISSN: 2195-3996

  • Edition Number: 1

  • Number of Pages: XIV, 296

  • Number of Illustrations: 20 b/w illustrations, 74 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Neurosciences, Neurology

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