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Drug and Alcohol Dependence|February 25, 2016
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependenceWoo-Young Ahn, Jasmin Vassileva
Cognitive Science|October 6, 2018
The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling TaskNathaniel Haines, Jasmin Vassileva, Woo-Young Ahn
Journal of Mathematical Psychology|April 18, 2022
Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance ModelHarhim Park, Jaeyeong Yang, Jasmin Vassileva, et al.
Progress in Brain Research|January 30, 2016
Computational modeling for addiction medicine: From cognitive models to clinical applicationsWoo Young Ahn, Junyi Dai, Jasmin Vassileva, et al.
Drug and Alcohol Dependence|November 19, 2019
A computational model of the Cambridge gambling task with applications to substance use disordersRicardo J Romeu, Nathaniel Haines, Woo-Young Ahn, et al.
Frontiers in Psychology|August 28, 2014
Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure usersWoo-Young Ahn, Georgi Vasilev, Sung-Ha Lee, et al.
Plos One|August 17, 2013
Computational modeling reveals distinct effects of HIV and history of drug use on decision-making processes in womenJasmin Vassileva, Woo-Young Ahn, Kathleen M Weber, et al.
International Journal of Environmental Research and Public Health|January 21, 2023
Neurocognitive Impulsivity in Opiate Users at Different Lengths of AbstinenceElena Psederska, Jasmin Vassileva
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