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Computational Intelligence and Neuroscience
Volume 2012 (2012), Article ID 817485, 14 pages
Research Article

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

Electrical and Electronic Engineering Faculty, Istanbul Technical University, Maslak, Istanbul 34469, Turkey

Received 30 March 2012; Revised 10 August 2012; Accepted 8 October 2012

Academic Editor: Wael El-Deredy

Copyright © 2012 Selin Metin and N. Serap Sengor. 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.


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.