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Computational Neuroscience of Drug Addiction

Overview of attention for book
Cover of 'Computational Neuroscience of Drug Addiction'

Table of Contents

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    Book Overview
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    Chapter 1 Simple Deterministic Mathematical Model of Maintained Drug Self-administration Behavior and Its Pharmacological Applications
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    Chapter 2 Intermittent Adaptation: A Mathematical Model of Drug Tolerance, Dependence and Addiction
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    Chapter 3 Control Theory and Addictive Behavior
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    Chapter 4 Modelling Local Circuit Mechanisms for Nicotine Control of Dopamine Activity
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    Chapter 5 Dual-System Learning Models and Drugs of Abuse
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    Chapter 6 Modeling Decision-Making Systems in Addiction
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    Chapter 7 Computational Models of Incentive-Sensitization in Addiction: Dynamic Limbic Transformation of Learning into Motivation
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    Chapter 8 Understanding Addiction as a Pathological State of Multiple Decision Making Processes: A Neurocomputational Perspective
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    Chapter 9 Policies and Priors
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    Chapter 10 Toward a Computationally Unified Behavioral-Economic Model of Addiction
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    Chapter 11 Simulating Patterns of Heroin Addiction Within the Social Context of a Local Heroin Market
Attention for Chapter 8: Understanding Addiction as a Pathological State of Multiple Decision Making Processes: A Neurocomputational Perspective
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