|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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