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Showing results 1 to 55 of 55

Issue Date	Title / Author(s) / Citation	File
2008	Comparison of Decision Learning Models Using the Generalization Criterion Method Ahn, Woo-Young; Busemeyer, Jerome R.; Wagenmakers, Eric-Jan; Stout, Julie C. Cognitive Science, Vol.32 No.8, pp.1376-1402	DOI
2009-11	Steady State Responses: Electrophysiological Assessment of Sensory Function in Schizophrenia Brenner, Colleen A.; Krishnan, Giri P.; Vohs, Jenifer L.; Ahn, Woo-Young; Hetrick, William P.; Morzorati, Sandra L.; O'Donnell, Brian F. Schizophrenia Bulletin, Vol.35 No.6, pp.1065-1077	DOI
2010-02	Cognitive mechanisms underlying risky decision-making in chronic cannabis users Fridberg, Daniel J.; Queller, Sarah; Ahn, Woo-Young; Kim, Woojae; Bishara, Anthony J.; Busemeyer, Jerome R.; Porrino, Linda; Stout, Julie C. Journal of Mathematical Psychology, Vol.54 No.1, pp.28-38	DOI
2011	A Model-Based fMRI Analysis With Hierarchical Bayesian Parameter Estimation Ahn, Woo-Young; Krawitz, Adam; Kim, Woojae; Busemeyer, Jerome R.; Brown, Joshua W. Journal of Neuroscience, Psychology, and Economics, Vol.4 No.2, pp.95-110	DOI
2011-04	Propensity for risk taking and trait impulsivity in the Iowa Gambling Task Upton, Daniel J.; Bishara, Anthony J.; Ahn, Woo-Young; Stout, Julie C. Personality and Individual Differences, Vol.50 No.4, pp.492-495	DOI
2011-11	Temporal Discounting of Rewards in Patients With Bipolar Disorder and Schizophrenia Ahn, Woo-Young; Rass, Olga; Fridberg, Daniel J.; Bishara, Anthony J.; Forsyth, Jennifer K.; Breier, Alan; Busemeyer, Jerome R.; Hetrick, William P.; Bolbecker, Amanda R.; O'Donnell, Brian F. Journal of Abnormal Psychology, Vol.120 No.4, pp.911-921	DOI
2012	Emotion-Based Reinforcement Learning Ahn, Woo-Young; Rass, Olga; Shin, Yong-Wook; Busemeyer, Jerome R.; Brown, Joshua W.; O’Donnell, Brian F. Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012, pp.78-83
2013-08	Computational Modeling Reveals Distinct Effects of HIV and History of Drug Use on Decision-Making Processes in Women Vassileva, Jasmin; Ahn, Woo-Young; Weber, Kathleen M.; Busemeyer, Jerome R.; Stout, Julie C.; Gonzalez, Raul; Cohen, Mardge H. PLOS ONE, Vol.8 No.8	DOI
2014	To simulate or not? Comment on steingroever, Wetzels, and Wagenmakers (2014) Konstantinidis, Emmanouil; Speekenbrink, Maarten; Stout, Julie C.; Ahn, Woo-Young; Shanks, David R. Decision, Vol.1 No.3, pp.184-191	DOI
2014-03	Differential Impairments Underlying Decision Making in Anorexia Nervosa and Bulimia Nervosa: A Cognitive Modeling Analysis Chan, Trista Wai Sze; Ahn, Woo-Young; Bates, John E.; Busemeyer, Jerome R.; Guillaume, Sebastien; Redgrave, Graham W.; Danner, Unna N.; Courtet, Philippe INTERNATIONAL JOURNAL OF EATING DISORDERS, Vol.47 No.2, pp.157-167	DOI
2014-08	Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users Ahn, Woo-Young; Vasilev, Georgi; Lee, Sung-Ha; Busemeyer, Jerome R.; Kruschke, John K.; Bechara, Antoine; Vassileva, Jasmin Frontiers in Psychology, Vol.5 No.AUG	DOI
2014-11	Nonpolitical Images Evoke Neural Predictors of Political Ideology Ahn, Woo-Young; Kishida, Kenneth T.; Gu, Xiaosi; Lohrenz, Terry; Harvey, Ann; Alford, John R.; Smith, Kevin B.; Yaffe, Gideon; Hibbing, John R.; Dayan, Peter; Montague, P. Read CURRENT BIOLOGY, Vol.24 No.22, pp.2693-2699	DOI
2016-01	Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers Rass, Olga; Ahn, Woo-Young; O'Donnell, Brian F. Clinical Neurophysiology, Vol.127 No.1, pp.409-418	DOI
2016-01	Computational modeling for addiction medicine: From cognitive models to clinical applications Ahn, Woo Young; Dai, Junyi; Vassileva, Jasmin; Busemeyer, Jerome R.; Stout, Julie C. Progress in Brain Research, Vol.224, pp.53-65	DOI
2016-03	Utility of Machine-learning approaches to identify Behavioral Markers for substance Use Disorders: impulsivity Dimensions as Predictors of current cocaine Dependence Ahn, Woo-Young; Ramesh, Divya; Moeller, Frederick Gerard; Vassileva, Jasmin Frontiers in Psychiatry, Vol.7 No.MAR, p. 34	DOI
2016-04	Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence Ahn, Woo-Young; Vassileva, Jasmin Drug and Alcohol Dependence, Vol.161, pp.247-257	DOI
2016-10	Challenges and promises for translating computational tools into clinical practice Ahn, Woo-Young; Busemeyer, Jerome R. Current Opinion in Behavioral Sciences, Vol.11, pp.1-7	DOI
2017-03	Predicting the knowledge-recklessness distinction in the human brain Vilaresa, Iris; Wesley, Michael J.; Ahn, Woo-Young; Bonnie, Richard J.; Hoffman, Morris; Jones, Owen D.; Morse, Stephen J.; Yaffe, Gideon; Lohrenz, Terry; Montague, P. Read Proceedings of the National Academy of Sciences of the United States of America, Vol.114 No.12, pp.3222-3227	DOI
2017-10	The indirect effect of emotion regulation on minority stress and problematic substance use in lesbian, gay, and bisexual individuals Rogers, Andrew H.; Seager, Ilana; Haines, Nathaniel; Hahn, Hunter; Aldao, Amelia; Ahn, Woo-Young Frontiers in Psychology, Vol.8 No.OCT, p. 1881	DOI
2018-07	Selective effects of the loss of NMDA or mGluR5 receptors in the reward system on adaptive decision-making Cieślak, Przemysław Eligiusz; Ahn, Woo-Young; Bogacz, Rafał; Parkitna, Jan Rodriguez eNeuro, Vol.5 No.4, p. e0331-18	DOI
2018-11	The outcome‐representation learning model: a novel reinforcement learning model of the iowa gambling task Haines, Nathaniel; Vassileva, Jasmin; Ahn, Woo-Young Cognitive Science, Vol.42 No.8, pp.2534-2561	DOI
2018-11	Combined genetic influence of the nicotinic receptor gene cluster CHRNA5/A3/B4 on nicotine dependence Lee, Sung-Ha; Ahn, Woo-Young; Seweryn, Micha; Sadee, Wolfgang BMC Genomics, Vol.19 No.1, p. 826	DOI
2019	Optimizing the Design of an Experiment using the ADOpy Package: An Introduction and Tutorial Myung, Jay I.; Pitt, Mark A.; Yang, Jaeyeong; Ahn, Woo-Young Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019, pp.19-20
2019-02	Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity Haines, Nathaniel; Southward, Matthew W.; Cheavens, Jennifer S.; Beauchaine, Theodore; Ahn, Woo-Young PLoS ONE, Vol.14 No.2, p. e0211735	DOI
2019-09	Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification Justice, Laura M.; Ahn, Woo-Young; Logan, Jessica A. R. Journal of Learning Disabilities, Vol.52 No.5, pp.351-365	DOI
2019-10	Delay Discounting of Protected Sex: Relationship Type and Sexual Orientation Influence Sexual Risk Behavior Hahn, Hunter; Kalnitsky, Samuel; Haines, Nathaniel; Thamotharan, Sneha; Beauchaine, Theodore P.; Ahn, Woo-Young Archives of Sexual Behavior, Vol.48 No.7, pp.2089-2102	DOI
2019-10	Altered learning under uncertainty in unmedicated mood and anxiety disorders Aylward, Jessica; Valton, Vincent; Ahn, Woo-Young; Bond, Rebecca L.; Dayan, Peter; Roiser, Jonathan P.; Robinson, Oliver J. Nature Human Behaviour, Vol.3 No.10, pp.1116-1123	DOI
2020-01	Attitudes Toward Gay Men and Lesbian Women Moderate Heterosexual Adults' Subjective Stress Response to Witnessing Homonegativity Hahn, Hunter; van Dyk, Ilana Seager; Ahn, Woo-Young Frontiers in Psychology, Vol.10, p. 2948	DOI
2020-01	A computational model of the Cambridge gambling task with applications to substance use disorders Romeu, Ricardo J.; Haines, Nathaniel; Ahn, Woo -Young; Busemeyer, Jerome R.; Vassileva, Jasmin Drug and Alcohol Dependence, Vol.206, p. 107711	DOI
2020-03	Estimating quality of life with biomarkers among older Korean adults: A machine-learning approach Lee, Sung-Ha; Choi, Incheol; Ahn, Woo-Young; Shin, Enyoung; Cho, Sung-Il; Kim, Sunyoung; Oh, Bumjo Archives of Gerontology and Geriatrics, Vol.87, p. 103966	DOI
2020-07	Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm Ahn, Woo-Young; Gu, Hairong; Shen, Yitong; Haines, Nathaniel; Hahn, Hunter A.; Teater, Julie E.; Myung, Jay I.; Pitt, Mark A. Scientific Reports, Vol.10 No.1, p. 12091	DOI
2020-11	Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Haines, Nathaniel; Beauchaine, Theodore P.; Galdo, Matthew; Rogers, Andrew H.; Hahn, Hunter; Pitt, Mark A.; Myung, Jay I.; Turner, Brandon M.; Ahn, Woo-Young Clinical Psychological Science, Vol.8 No.6, pp.1017-1036	DOI
2020-11	Post–COVID-19 한국임상심리학회 발전 로드맵 서수연; 이영준; 이주영; 한영경; 허지원; 어유경; 김석웅; 안우영; 이원혜; 진주희; 천정현; 최승원; 송현주 Korean Journal of Clinical Psychology, Vol.39 No.4, pp.396-429	DOI
2021-04	ADOpy: a python package for adaptive design optimization Yang, Jaeyeong; Pitt, Mark A.; Ahn, Woo-Young; Myung, Jay I. Behavior Research Methods & Instrumentation, Vol.53 No.2, pp.874-897	DOI
2021-06	Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial Kim, Meelim; Yang, Jaeyeong; Ahn, Woo-Young; Choi, Hyung Jin Journal of Medical Internet Research, Vol.23 No.6	DOI
2021-06	Development of a novel computational model for the Balloon Analogue Risk Task: The exponential-weight mean-variance model Park, Harhim; Yang, Jaeyeong; Vassileva, Jasmin; Ahn, Woo-Young Journal of Mathematical Psychology, Vol.102, p. 102532	DOI
2021-12	Reliability, and Convergent and Discriminant Validity of Gaming Disorder Scales: A Meta-Analysis Yoon, Seowon; Yang, Yeji; Ro, Eunbin; Ahn, Woo-Young; Kim, Jueun; Shin, Suk-Ho; Chey, Jeanyung; Choi, Kee-Hong Frontiers in Psychology, Vol.12, p. 764209	DOI
2022-01	Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging Ahn, Gun; Kim, Bogyeom; Kim, Ka-kyeong; Kim, Hyeonjin; Lee, Eunji; Ahn, Woo-Young; Kim, Jae-Won; Cha, Jiook Studies in Computational Intelligence, Vol.1013, pp.75-86	DOI
2022-02	Association of Genome-Wide Polygenic Scores for Multiple Psychiatric and Common Traits in Preadolescent Youths at Risk of Suicide Joo, Yoonjung Yoonie; Moon, Seo-Yoon; Wang, Hee-Hwan; Kim, Hyeonjin; Lee, Eun-Ji; Kim, Jong Hun; Posner, Jonathan; Ahn, Woo-Young; Choi, Incheol; Kim, Jae-Won; Cha, Jiook Jama Network Open, Vol.5 No.2, p. e2148585	DOI
2022-04	A Randomized, Double-Blind, Sham-Controlled Trial of Transcranial Direct Current Stimulation for the Treatment of Persistent Postural-Perceptual Dizziness (PPPD) Im, Jooyeon Jamie; Na, Seunghee; Kang, Sanghoon; Jeong, Hyeonseok; Lee, Eek-Sung; Lee, Tae-Kyeong; Ahn, Woo-Young; Chung, Yong-An; Song, In-Uk Frontiers in Neurology, Vol.13, p. 868976	DOI
2022-08	The sexual brain, genes, and cognition: A machine-predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children Kim, Kakyeong; Joo, Yoonjung Yoonie; Ahn, Gun; Wang, Hee-Hwan; Moon, Seo-Yoon; Kim, Hyeonjin; Ahn, Woo-Young; Cha, Jiook Human Brain Mapping, Vol.43 No.12, pp.3857-3872	DOI
2022-11	Psychological treatments for excessive gaming: a systematic review and meta-analysis Kim, Jueun; Lee, Sunmin; Lee, Dojin; Shim, Sungryul; Balva, Daniel; Choi, Kee-Hong; Chey, Jeanyung; Shin, Suk-Ho; Ahn, Woo-Young Scientific Reports, Vol.12 No.1, p. 20485	DOI
2023-03	Coordinated anatomical and functional variability in the human brain during adolescence Bero, John; Li, Yang; Kumar, Aviral; Humphries, Colin; Nag, Snehesh; Lee, Heungyeol; Ahn, Woo Young; Hahn, Sowon; Constable, Robert Todd; Kim, Hackjin; Lee, Daeyeol Human Brain Mapping, Vol.44 No.4, pp.1283-1824	DOI
2023-05	Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders Vassileva, Jasmin; Lee, Jeung-Hyun; Psederska, Elena; Ahn, Woo-Young Neuromethods, Vol.199, pp.211-231	DOI
2023-05	Psychological well-being and salivary markers of inflammation: The moderating effect of age Lee, Sung-Ha; Chey, Jeanyung; Ahn, Woo-Young; Woo, Choong-Wan; Youm, Yoosik; Kim, Hairin; Oh, Naeun; Park, Hyeyoung; Gim, Suhwan; Lee, Eunjin; Choi, Incheol Applied Psychology: Health and Well-Being, Vol.15 No.2, pp.466-478	DOI
2023-06	Causal role of the dorsolateral prefrontal cortex in modulating the balance between Pavlovian and instrumental systems in the punishment domain Kim, Hyeonjin; Hur, Jihyun; Kwon, Mina; Kim, Soyeon; Zoh, Yoonseo; Ahn, Woo-Young PLoS ONE, Vol.18 No.6, p. e0286632	DOI
2023-07	Biopsychosocial factors of gaming disorder: a systematic review employing screening tools with well-defined psychometric properties Chang, Rose Seoyoung; Lee, Minju; Im, Jooyeon Jamie; Choi, Kee-Hong; Kim, Jueun; Chey, Jeanyung; Shin, Suk-Ho; Ahn, Woo-Young Frontiers in Psychiatry, Vol.14, p. 1200230	DOI
2023-08	Adaptive Design Optimization as a Promising Tool for Reliable and Efficient Computational Fingerprinting Kwon, Mina; Lee, Sang Ho; Ahn, Woo-Young Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Vol.8 No.8, pp.1-804	DOI
2023-12	The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning Park, Heesun; Doh, Hoyoung; Lee, Eunhwi; Park, Harhim; Ahn, Woo-Young PLoS Computational Biology, Vol.19 No.12, p. 1011692	DOI
2024-01	Caffeinated Soda Intake in Children Is Associated with Neurobehavioral Risk Factors for Substance Misuse Kwon, Mina; Kim, Hyeonjin; Yang, Jaeyeong; Lee, Yoseph; Hur, Jihyun K.; Lee, Tae-Ho; Bjork, James M.; Ahn, Woo-Young Substance Use and Misuse, Vol.59 No.1, pp.79-89	DOI
2024-01	Early life stress modulates the genetic influence on brain structure and cognitive function in children Wang, Hee-Hwan; Moon, Seo-Yoon; Kim, Hyeonjin; Kim, Gakyung; Ahn, Woo-Young; Joo, Yoonjung Yoonie; Cha, Jiook Heliyon, Vol.10 No.1, p. e23345	DOI
2024-02	Acute Stress Enhances Memory and Preference for Smoking-Related Associations in Smokers Lee, Jeung-Hyun; Kang, Sanghoon; Maier, Silvia U.; Lee, Sang Ah; Goldfarb, Elizabeth V.; Ahn, Woo-Young Nicotine and Tobacco Research, Vol.26 No.3, pp.333-341	DOI
2024-03	Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder Kwon, Mina; Choi, Hangnyoung; Park, Harhim; Ahn, Woo-Young; Jung, Young-Chul Journal of behavioral addictions, Vol.13 No.1, pp.236-249	DOI
2024-04	Bridging the Gap Between Self-Report and Behavioral Laboratory Measures: A Real-Time Driving Task With Inverse Reinforcement Learning Lee, Sang Ho; Song, Myeong Seop; Oh, Min-hwan; Ahn, Woo-Young Psychological Science, Vol.35 No.4, pp.35-4	DOI
2024-04	Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study Lee, Ji-Yoon; Song, Myeong Seop; Yoo, So Young; Jang, Joon Hwan; Lee, Deokjong; Jung, Young-Chul; Ahn, Woo-Young; Choi, Jung-Seok Comprehensive Psychiatry, Vol.130, p. 152460	DOI