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Titlebook: Computational Neuroscience of Drug Addiction; Boris Gutkin,Serge H. Ahmed Book 2012 Springer Science+Business Media, LLC 2012

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Modeling Decision-Making Systems in Addictionference (TD) learning as a quantitative model for decision-making. In these theories, drugs of abuse create a non-compensable TD reward prediction error signal that causes pathological overvaluation of drug-seeking choices. However, the TD model is too simple to account for all aspects of decision-m
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Toward a Computationally Unified Behavioral-Economic Model of Addictionreasingly smaller anatomical, physiological or chemical units of analysis, the practice exposited here was to expand the integrative scope of behavioral-economic concepts that have been used to describe addiction phenomena. We discussed (a) excessive and persistent consumption of substances, as stud
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Simulating Patterns of Heroin Addiction Within the Social Context of a Local Heroin Marketpatterns can be shaped by market dynamics. We use a novel agent-based modeling (ABM) approach to simulate possible neurophysiologic functions based on the collective self-organizing behavior of market agents. The conceptual model is based on three components: biological, behavioral, and social. Biol
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978-1-4614-2940-1Springer Science+Business Media, LLC 2012
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Kähler Geometry of String Theoryd to logical contradictions to other accepted facts. A quantitative pharmacological theory of self-administration behavior states that cocaine-induced lever pressing behavior occurs only when cocaine concentrations are within a certain range, termed the compulsion zone. These concentrations can be c
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