Computational Neuroscience of Drug Addiction

  • Boris Gutkin
  • Serge H. Ahmed

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 10)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Pharmacological-Based Models of Addiction

    1. Front Matter
      Pages 1-1
    2. David B. Newlin, Phillip A. Regalia, Thomas I. Seidman, Georgiy Bobashev
      Pages 57-108
  3. Neurocomputational Models of Addiction

    1. Front Matter
      Pages 109-109
    2. Dylan A. Simon, Nathaniel D. Daw
      Pages 145-161
    3. Zeb Kurth-Nelson, A. David Redish
      Pages 163-187
  4. Economic-Based Models of Addiction

    1. Front Matter
      Pages 235-235
    2. Karl Friston
      Pages 237-283
    3. E. Terry Mueller, Laurence P. Carter, Warren K. Bickel
      Pages 285-312
    4. Lee Hoffer, Georgiy Bobashev, Robert J. Morris
      Pages 313-331
  5. Back Matter
    Pages 333-341

About this book


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.

Editors and affiliations

  • Boris Gutkin
    • 1
  • Serge H. Ahmed
    • 2
  1. 1.DEC-ENSParisFrance
  2. 2.CNRS UMR 5541, Lab.Neuropsychobiologie BordeauxBordeauxFrance

Bibliographic information