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, an...
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| Veröffentlicht in: | Computational Intelligence and Neuroscience 2012-01, Vol.2012 (2012), p.302-315 |
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| creator | Metin, Selin Sengor, N. Serap |
| description | 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 of addiction. The model compromises different levels ranging from molecular basis to systems level, and it demonstrates three different possible behavioral patterns which are addict, nonaddict, and indecisive. The dynamical behavior of the proposed model is investigated with tools used in analyzing nonlinear dynamical systems, and the relation between the behavioral patterns and the dynamics of the system is discussed. |
| doi_str_mv | 10.1155/2012/817485 |
| format | Article |
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Serap Sengor.</rights><rights>Copyright © 2012 Selin Metin and N. Serap Sengor. Selin Metin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2012 S. Metin and N. S. 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| subjects | Addictive behaviors Behavior Behavior, Addictive Brain - drug effects Brain - physiology Choice Behavior - physiology Computation Computer Simulation Decision Making - drug effects Drug addiction Dynamic tests Dynamical systems Intelligence Learning Learning - physiology Models, Neurological Models, Psychological Neurons - drug effects Neurons - physiology Nicotine Nicotine - pharmacology Nonlinear dynamics Nonlinearity Reward Studies System theory |
| title | From Occasional Choices to Inevitable Musts: A Computational Model of Nicotine Addiction |
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