Woo-Young Ahn, Ph.D.
Affiliations: | 2015-2017 | Psychology | Ohio State University, Columbus, Columbus, OH |
| 2017- | Psychology | Seoul National University, Seoul, South Korea |
Area:
decision making, computational models, neuroimaging, psychopathologyWebsite:
https://ccs-lab.github.io/Google:
"Woo-Young Ahn"Mean distance: 13.11 (cluster 50) | S | N | B | C | P |
Parents
Sign in to add mentor| Jerome R. Busemeyer | grad student | 2006-2012 | Indiana University Bloomington | |
| (Computational modeling of decision-making in bipolar disorder.) | ||||
| Brian F. O'Donnell | grad student | 2006-2012 | Indiana University Bloomington | |
| (Computational modeling of decision-making in bipolar disorder.) | ||||
| Peter Dayan | post-doc | 2012-2014 | Virginia Tech Carilion Research Institute | |
| P Read Montague | post-doc | 2012-2014 | Virginia Tech Carilion Research Institute | |
| Jasmin Vassileva | post-doc | 2014-2015 | VCU | |
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Publications
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| Kim H, Hur JK, Kwon M, et al. (2023) Causal role of the dorsolateral prefrontal cortex in modulating the balance between Pavlovian and instrumental systems in the punishment domain. Plos One. 18: e0286632 |
| Park H, Yang J, Vassileva J, et al. (2021) Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance Model. Journal of Mathematical Psychology. 102 |
| Yang J, Pitt MA, Ahn WY, et al. (2020) ADOpy: a python package for adaptive design optimization. Behavior Research Methods |
| Ahn WY, Gu H, Shen Y, et al. (2020) Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Scientific Reports. 10: 12091 |
| Haines N, Beauchaine TP, Galdo M, et al. (2020) Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Clinical Psychological Science. 8: 1017-1036 |
| Romeu RJ, Haines N, Ahn WY, et al. (2019) A computational model of the Cambridge gambling task with applications to substance use disorders. Drug and Alcohol Dependence. 107711 |
| Aylward J, Valton V, Ahn WY, et al. (2019) Altered learning under uncertainty in unmedicated mood and anxiety disorders. Nature Human Behaviour |
| Vassileva J, Shahidi R, Taylor B, et al. (2019) S209. Machine Learning Identifies Common and Specific Markers of Addiction to Five Different Classes of Drugs Biological Psychiatry. 85: S378 |
| Haines N, Vassileva J, Ahn WY. (2018) The Outcome-Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task. Cognitive Science |
| Ahn WY, Haines N, Zhang L. (2017) Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package. Computational Psychiatry (Cambridge, Mass.). 1: 24-57 |