Editors:
- Intrigued by the apparent irrational behavior of drug addicts, researchers from a wide range of scientific disciplines have formulated a plethora of theoretical schemes over the years to understand addiction
- Collects several recent mathematical and neurocomputational models of drug self-administration and addiction
- Illustrates how mathematical modeling can contribute to our understanding of the mechanisms underlying the transition between the different stages of addiction
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Computational Neuroscience (NEUROSCI, volume 10)
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Table of contents (11 chapters)
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Front Matter
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Pharmacological-Based Models of Addiction
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Front Matter
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Neurocomputational Models of Addiction
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Front Matter
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Neurocomputational models of addiction
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Economic-Based Models of Addiction
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“This is a fascinating … new book covering mathematical modeling of various aspects of addiction. … Written and edited by experts in the field, this is a welcome addition to the neuroscientific literature of addictions. … Each chapter concludes with timely and relevant citations of the scientific literature. … This new … book is a stimulating introduction to the field for those with the computational neuroscientific background knowledge to comprehend it.” (Michael Joel Schrift, Doody's Book Reviews, March, 2013)Editors and Affiliations
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DEC-ENS, Paris, France
Boris Gutkin
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CNRS UMR 5541, Lab.Neuropsychobiologie des, Univ.de Bordeaux, Bordeaux, France
Serge H. Ahmed
Bibliographic Information
Book Title: Computational Neuroscience of Drug Addiction
Editors: Boris Gutkin, Serge H. Ahmed
Series Title: Springer Series in Computational Neuroscience
DOI: https://doi.org/10.1007/978-1-4614-0751-5
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-0750-8Published: 26 October 2011
Softcover ISBN: 978-1-4614-2940-1Published: 28 November 2013
eBook ISBN: 978-1-4614-0751-5Published: 27 October 2011
Series ISSN: 2197-1900
Series E-ISSN: 2197-1919
Edition Number: 1
Number of Pages: XIV, 342