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Computational Neuroscience of Drug Addiction

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 th...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gutkin, Boris. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ahmed, Serge H. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Springer Series in Computational Neuroscience, 10
Subjects:
Neurosciences.
Bioinformatics .
Computational biology .
Computer Appl. in Life Sciences.
Online Access:https://doi.org/10.1007/978-1-4614-0751-5
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Table of Contents:
  • 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.

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