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Chakravarthy V.S., Moustafa A.A. Computational Neuroscience Models of the Basal Ganglia

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Chakravarthy V.S., Moustafa A.A. Computational Neuroscience Models of the Basal Ganglia
Singapore: Springer, 2018. — 303 p.
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.
The Molecular, Cellular, and Systems-Level Structure of the Basal Ganglia
The Motor, Cognitive, Affective, and Autonomic Functions of the Basal Ganglia
Classical Computational Approaches to Modeling the Basal Ganglia
The Basal Ganglia System as an Engine for Exploration
Synchronization and Exploration in Basal Ganglia — A Spiking Network Model
A Basal Ganglia Model of Freezing of Gait in Parkinson’s Disease
Modeling Precision Grip Force in Controls and Parkinson’s Disease Patients
Go-Explore-NoGo (GEN) Paradigm in Decision Making — A Multimodel Approach
A Cortico-Basal Ganglia Model to Understand the Neural Dynamics of Targeted Reaching in Normal and Parkinson’s Conditions
Studying the Effect of Dopaminergic Medication and STN–DBS on Cognitive Function Using a Spiking Basal Ganglia Model
Modeling Serotonin’s Contributions to Basal Ganglia Dynamics
Modeling Serotonin’s Contributions to Basal Ganglia Dynamics in Parkinson’s Disease with Impulse Control Disorders
An Oscillatory Neural Network Model for Birdsong Learning and Generation: Implications for the Role of Dopamine in Song Learning
The Basal Ganglia: Summary and Future Modeling Research
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