Computational Neuroscience of Drug Addiction: 10 (Springer Series in Computational Neuroscience) - Tapa dura
Sinopsis
Foreword: P Dayan
Part 1 - Pharmacological-based models of addiction
Chapter 1. Simple deterministic mathematical Model of maintained drug delf-Administration behavior and its pharmacological applications.
V.L. Tsibulsky* and A.B. Norman
Chapter 2. Intermittent Adaptation : A mathematical model of drug tolerance,
dependence and addiction.
A. Peper
Chapter 3. Control theory and addictive behavior.
D. Newlin, P.A. Regalia, T.I. Seidman, G. Bobashev
Part 2 - Neurocomputational models of addiction
Chapter 4. Circuit models of addiction: receptors and neural dynamics in nicotine self-administration.
M. Graupner and B. Gutkin
Chapter 5. N Dual-system learning models and drugs of abuse.
N.D. Daw and D.A. Simon.
Chapter 6. Modeling decision-making systems in addiction
Z. Kurth-Nelson and A. D. Redish
Chapter 7. Computational models of incentive-sensitization in addiction: Dynamic limbic transformation of learning into motivation
J. Zhang, K. C. Berridge, and J. W. Aldridge
Chapter 8. Understanding addiction as a pathological state of multiple decision making processes: a neurocomputational perspective.
M. Keramati, A. Dezfouli and P. Piray
Part 3 - Economic-based models of addiction
Chapter 9. Policies and priors
K Friston
Chapter 10. Toward a Computationally Unified Behavioral-Economic Model of Addiction
E.T. Mueller, L.P. Carter and W.K. Bickel
Chapter 11. Simulating Patterns of Heroin Addiction within the Social Context of a Local Heroin Market
L. Hoffer, G. Bobashev and R. J Morris
Chapter 10. Toward a Computationally Unified Behavioral-Economic Model of Addiction
E.T. Mueller, L.P. Carter and W.K. Bickel
Chapter 11. Simulating Patterns of Heroin Addiction within the Social Context of a Local Heroin Market
L. Hoffer, G. Bobashev and R. J Morris
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
Drug addiction is one of the most important public health problems in Western societies, and is a rising concern for developing nations. Over the past three decades, experimental research on the neurobiology and psychology of drug addiction has generated a tremendous amount of exciting data, from the molecular to the behavioral levels. As a result, a new and pressing challenge for addiction research is to formulate a synthetic theoretical framework that goes well beyond mere scientific eclecticism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction.
Recently, researchers from a broad spectrum of scientific disciplines from pharmacokinetics to neuroeconomics have begun to take up this challenge. Computational Neuroscience of Drug Addiction collects recent mathematical and neurocomputational modeling approaches to drug self-administration and addiction. This selection of chapters illustrates how mathematical modeling can contribute to our understanding of the mechanisms underlying the transition between the different stages of addiction, from initiation of regulated drug use and subsequent loss of control over drug use to relapse after long-term abstinence. The volume provides an overview of this emerging area and will serve as a standard reference for addiction researchers and quantitative scientists entering the field.
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Nº de ref. del artículo: 4196920
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Computational Neuroscience of Drug Addiction
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Springer New York, Springer New York Okt 2011, 2011
ISBN 10: 1461407508
ISBN 13: 9781461407508
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Drug addiction remains one of the most important public health problems in western societiesand is a rising concern for developing nations. Over the past 3 decades, experimental research on theneurobiology and psychology of drug addiction has generated a torrent of exciting data, from the molecular up to the behavioral levels. As a result, a new and pressing challenge for addiction research is to formulate a synthetic theoretical framework that goes well beyond mere scientific eclectism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction.Intrigued by the apparent irrational behavior of drug addicts, researchers from a wide range of scientificdisciplines have formulated a plethora of theoretical schemes over the years to understand addiction.However, most of these theories and models are qualitative in nature and are formulated using terms that are often ill-defined. As a result, the empirical validity of these models has been difficult to test rigorously, which has served to generate more controversy than clarity. In this context, as in other scientific fields, mathematical and computational modeling should contribute to the development of more testable and rigorous models of addiction. 356 pp. Englisch. Nº de ref. del artículo: 9781461407508
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