Woo-Young Ahn
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Comparison of decision learning models using the generalization criterion method
WY Ahn, JR Busemeyer, EJ Wagenmakers, JC Stout
Cognitive science 32 (8), 1376-1402, 2008
Steady state responses: electrophysiological assessment of sensory function in schizophrenia
CA Brenner, GP Krishnan, JL Vohs, WY Ahn, WP Hetrick, SL Morzorati, ...
Schizophrenia bulletin 35 (6), 1065-1077, 2009
Cognitive mechanisms underlying risky decision-making in chronic cannabis users
DJ Fridberg, S Queller, WY Ahn, W Kim, AJ Bishara, JR Busemeyer, ...
Journal of mathematical psychology 54 (1), 28-38, 2010
Temporal discounting of rewards in patients with bipolar disorder and schizophrenia.
WY Ahn, O Rass, DJ Fridberg, AJ Bishara, JK Forsyth, A Breier, ...
Journal of abnormal psychology 120 (4), 911, 2011
A model-based fMRI analysis with hierarchical Bayesian parameter estimation.
WY Ahn, A Krawitz, W Kim, JR Busemeyer, JW Brown
Educational Publishing Foundation 1 (S), 8, 2013
Revealing neurocomputational mechanisms of reinforcement learning and decision-making with the hBayesDM package
WY Ahn, N Haines, L Zhang
Computational Psychiatry 1, 24-57, 2017
Nonpolitical Images Evoke Neural Predictors of Political Ideology
WY Ahn, KT Kishida, X Gu, T Lohrenz, A Harvey, JR Alford, KB Smith, ...
Current Biology 24 (22), 2693–2699, 2014
Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users
WY Ahn, G Vasilev, SH Lee, JR Busemeyer, JK Kruschke, A Bechara, ...
Frontiers in Decision Neuroscience 5, 849, 2014
Propensity for risk taking and trait impulsivity in the Iowa Gambling Task
DJ Upton, AJ Bishara, WY Ahn, JC Stout
Personality and individual differences 50 (4), 492-495, 2011
Differential impairments underlying decision making in anorexia nervosa and bulimia nervosa: a cognitive modeling analysis
TWS Chan, WY Ahn, JE Bates, JR Busemeyer, S Guillaume, ...
International Journal of Eating Disorders 47 (2), 157-167, 2014
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence
WY Ahn, J Vassileva
Drug and alcohol dependence 161, 247-257, 2016
Utility of machine-learning approaches to identify behavioral markers for substance use disorders: impulsivity dimensions as predictors of current cocaine dependence
WY Ahn, D Ramesh, FG Moeller, J Vassileva
Frontiers in Psychiatry 7, 34, 2016
Computational modeling reveals distinct effects of HIV and history of drug use on decision-making processes in women
J Vassileva, WY Ahn, KM Weber, JR Busemeyer, JC Stout, R Gonzalez, ...
PloS one 8 (8), e68962, 2013
Altered learning under uncertainty in unmedicated mood and anxiety disorders
J Aylward, V Valton, WY Ahn, RL Bond, P Dayan, JP Roiser, OJ Robinson
Nature human behaviour 3 (10), 1116-1123, 2019
Challenges and promises for translating computational tools into clinical practice
WY Ahn, JR Busemeyer
Current Opinion in Behavioral Sciences 11, 1-7, 2016
Predicting the knowledge–recklessness distinction in the human brain
I Vilares, MJ Wesley, WY Ahn, RJ Bonnie, M Hoffman, OD Jones, ...
Proceedings of the National Academy of Sciences 114 (12), 3222-3227, 2017
Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers
O Rass, WY Ahn, BF O’Donnell
Clinical Neurophysiology 127 (1), 409-418, 2016
The outcome‐representation learning model: A novel reinforcement learning model of the Iowa Gambling Task
N Haines, J Vassileva, WY Ahn
Cognitive science 42 (8), 2534-2561, 2018
Computational modeling for addiction medicine: from cognitive models to clinical applications
WY Ahn, J Dai, J Vassileva, JR Busemeyer, JC Stout
Progress in brain research 224, 53-65, 2016
Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity
N Haines, MW Southward, JS Cheavens, T Beauchaine, WY Ahn
PloS one 14 (2), e0211735, 2019
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