From Occasional Choices to Inevitable Musts: A Computational Model of Nicotine Addiction

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From Occasional Choices to Inevitable Musts: A Computational Model of Nicotine Addiction

Although, there are considerable works on the neural mechanisms of reward-based learning and decision making, and most of them mention that addiction can be explained by malfunctioning in these cognitive processes, there are very few computational models. This paper focuses on nicotine addiction, and a computational model for nicotine addiction is proposed based on the neurophysiological basis ...

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A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning

Continuous exposure to nicotine causes behavioral choice to be modified by dopamine to become rigid, resulting in addiction. In this work, a computational model for nicotine addiction is proposed and the proposed model captures the effect of continuous nicotine exposure in becoming addict through reinforcement learning. The computational model is composed of three subsystems each corresponding ...

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Tobacco use is a major health problem, and nicotine is the main addictive component. Nicotine binds to nicotinic acetylcholine receptors (nAChR) to produce its initial effects. The nAChRs subtypes are composed of five subunits that can form in numerous combinations with varied functional and pharmacological characteristics. Diverse psychopharmacological effects contribute to the overall process...

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ژورنال

عنوان ژورنال: Computational Intelligence and Neuroscience

سال: 2012

ISSN: 1687-5265,1687-5273

DOI: 10.1155/2012/817485