| Revealing neurocomputational mechanisms of reinforcement learning and decision-making with the hBayesDM package WY Ahn, N Haines, L Zhang Computational Psychiatry (Cambridge, Mass.) 1, 24, 2017 | 381* | 2017 |
| 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 | 298 | 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 | 265 | 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 | 264 | 2009 |
| 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 | 215 | 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 | 212 | 2014 |
| Prevalence of gaming disorder: A meta-analysis HS Kim, G Son, EB Roh, WY Ahn, J Kim, SH Shin, J Chey, KH Choi Addictive behaviors 126, 107183, 2022 | 202 | 2022 |
| 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 | 191 | 2014 |
| 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 | 191 | 2011 |
| 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 | 156 | 2019 |
| A Tutorial on Using Generative Models to Advance Psychological Science: Lessons from the Reliability Paradox N Haines, PD Kvam, L Irving, CT Smith, TP Beauchaine, MA Pitt, WY Ahn, ... Psychological Methods, 2024 | 146* | 2024 |
| Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence WY Ahn, J Vassileva Drug and alcohol dependence 161, 247-257, 2016 | 142 | 2016 |
| 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 | 127 | 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 | 121 | 2014 |
| 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 | 102 | 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 | 81 | 2018 |
| 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 | 66 | 2013 |
| 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 | 61 | 2017 |
| The indirect effect of emotion regulation on minority stress and problematic substance use in lesbian, gay, and bisexual individuals AH Rogers, I Seager, N Haines, H Hahn, A Aldao, WY Ahn Frontiers in Psychology 8, 1881, 2017 | 60 | 2017 |
| 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 | 58* | 2019 |
Nathaniel HainesData Scientist and Computational Psychologistایمیل تأیید شده در osu.edu