DRUG ADDICTION: A COMPUTATIONAL MULTISCALE MODEL COMBINING NEUROPSYCHOLOGY, COGNITION AND BEHAVIOR
Publication Date
2009
Journal or Book Title
BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING
Abstract
According to the United Nations, approximately 24.7 million people used amphetamines, 16 million used cocaine, and 12 million used heroin in 2006/07 (Costa, 2008). Full recovery from drug addiction by chemical treatment and/or social and psychological support is uncertain. The present investigation was undertaken to expand our understanding of the factors that drive the dynamics of addiction. A new multiscale computational model is presented which integrates current theories of addiction, unlike previous models, considers addiction as a reversible process (Siegelmann, 2008). Explicit time dependency is added to the inhibition and the compulsion processes. Preliminary computational predictions of drug-seeking behavior are presented and potential correlation with experimental data is discussed. Validation of the model appears promising, however additional investigation is required.
DOI
10.5220/0001539100870094
Pages
87-94
Recommended Citation
Levy, YZ; Levy, D; Meyer, JS; and Siegelmann, HT, "DRUG ADDICTION: A COMPUTATIONAL MULTISCALE MODEL COMBINING NEUROPSYCHOLOGY, COGNITION AND BEHAVIOR" (2009). BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING. 1077.
10.5220/0001539100870094