Computational Neuroscience Models of the Basal Ganglia

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Science & Nature, Technology, Engineering
Cover of the book Computational Neuroscience Models of the Basal Ganglia by V. Srinivasa Chakravarthy, Ahmed A. Moustafa, Springer Singapore
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Author: V. Srinivasa Chakravarthy, Ahmed A. Moustafa ISBN: 9789811084942
Publisher: Springer Singapore Publication: March 21, 2018
Imprint: Springer Language: English
Author: V. Srinivasa Chakravarthy, Ahmed A. Moustafa
ISBN: 9789811084942
Publisher: Springer Singapore
Publication: March 21, 2018
Imprint: Springer
Language: English

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.

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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.

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