Computational Neuroscience Models of the Basal Ganglia

• Κύριοι συγγραφείς: Chakravarthy, V. Srinivasa (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Moustafa, Ahmed A. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Cognitive Science and Technology,
• Θέματα: Biomedical engineering.; Neurosciences.; Neurology .; Biomedical Engineering and Bioengineering.; Neurology.
• Φυσική περιγραφή: XIV, 296 p. 94 illus., 74 illus. in color. online resource.
• ISBN: 9789811084942
• ISSN: 2195-3988
• DOI: 10.1007/978-981-10-8494-2

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.