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Tutorial on Using Generative Models to Advance Psychological Science: Lessons from the Reliability Paradox

Haines et al (in press) Psychological Methods

Acute stress enhances memory and preference for smoking-related associations in smokers

Lee et al. (2024) Nicotine & Tobacco Research, 26(3), 333-341.

Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder

Kwon et al. (2024) Journal of Behavioral Addictions, 13(1), 236-249.

Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder

Lee et al. (2024) Comprehensive Psychiatry, 130, 152460.

Bridging the gap between self-report and behavioral laboratory measures: A real-time driving task with inverse reinforcement learning

Lee et al. (2024) Psychological Science, 35(4), 345-357.

Toward building a decision-making paradigm for dynamic and real-world addictive behaviors

Ahn et al. (under review) Current Directions in Psychological Science

Early life stress modulates the genetic influence on brain structure and cognitive function in children

Wang et al. (2024) Heliyon, 10(1), e23345.

The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning

Park et al. (2023) PLOS Computational Biology

Caffeinated Soda Intake in Children Is Associated with Neurobehavioral Risk Factors for Substance Misuse

Kwon et al. (2023) Substance Use & Misuse

Adaptive design optimization as a promising tool for reliable and efficient computational fingerprinting

Kwon et al. (2023) Biological Psychiatry: CNNI. 8(8), 798-804.

Biopsychosocial factors of gaming disorder": A systematic review employing screening tools with well-defined psychometric properties

Chang et al. (2023) Frontiers in Psychiatry

Causal role of the dorsolateral prefrontal cortex in modulating the balance between Pavlovian and instrumental systems in the punishment domain

Kim et al. (2023) PLOS ONE

Coordinated anatomical and functional variability in the human brain during adolescence

Bero et al. (in press) Human Brain Mapping

Utility of computational approaches for precision psychiatry: Applications to substance use disorders

Vassileva et al. (2023) Computational Neuroscience

Psychological treatments for excessive gaming: a systematic review and meta‑analysis

Kim et al. (2022) Scientific Reports

Psychological well-being and salivary markers of inflammation: The moderating effect of age

Lee et al (2022) Applied Psychology: Health and Well-Being

The sexual brain, genes, and cognition: A machine‐predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children

Joo et al. (2022) Human Brain Mapping.

A randomized, double-blind, sham-controlled trial of transcranial direct current stimulation for the treatment of persistent postural-perceptual dizziness (PPPD)

Im et al. (2022) Frontiers in Neurology, 13.

Association of genome-wide polygenic scores for multiple psychiatric and common traits in preadolescent youths at risk of suicide

Joo et al. (2022) JAMA Network Open

Prevalence of gaming disorder: A meta-analysis

Kim et al. (2022) Addictive Behaviors, 126, 107183

Reliability, and Convergent and Discriminant Validity of Gaming Disorder Scales: A Meta-Analysis

Yoon et al. (2021) Frontiers in Psychology, 5659

Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Kim et al. (2021) JMIR, 23(6), e27218.

Development of a novel computational model for the Balloon Analogue Risk Task: The Exponential-Weight Mean-Variance Model

Park et al (2021) Journal of Mathematical Psychology, 201, 102532.

Mapping fNIRS to fMRI with Neural Data Augmentation and Machine Learning Models

Hur et al (2020) NeurIPS 2020 BabyMind Workshop

Rapid, precise, and reliable phenotyping of delay discounting using a Bayesian learning algorithm

Ahn et al (2020) Scientific Reports, 10:12091.

Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis

Haines et al (2020) Clinical Psychological Science, 8 (6), 1017-1036.

ADOpy: A Python Package for Adaptive Design Optimization

Yang et al (2020) Behavior Research Methods, 53, 874-897

Attitudes Toward Gay Men and Lesbian Women Moderate Heterosexual Adults’ Subjective Stress Response to Witnessing Homonegativity

Hahn et al (2020) Frontiers in Psychology

Negative Affect Induces Rapid Learning of Counterfactual Representations: A Model-based Facial Expression Analysis Approach

Haines et al (2020) bioRxiv

Estimating quality of life with biomarkers among older Korean adults: A machine-learning approach

Lee et al (2020) Archives of Gerontology and Geriatrics

Altered learning under uncertainty in unmedicated mood and anxiety disorders

Aylward et al (2019) Nature Human Behaviour, 3, 1116-1123.

A computational model of the Cambridge Gambling Task with applications to substance use disorders

Romeu et al (2019) Drug and Alcohol Dependence

Delay Discounting of Protected Sex: Relationship Type and Sexual Orientation Influence Sexual Risk Behavior

Hahn et al (2019) Arch Sex Behav. 48, 2089-2102.

Identifying Children with Language Disorder: An Application of Machine Learning Classification

Justice et al (2019) J of Learning Disabilities

Computer-vision and Machine Learning to Automate Facial Coding of Positive and Negative Affect Intensity

Haines et al (2019) PLOS ONE

The Outcome-Representation Learning model: a novel reinforcement learning model of the Iowa Gambling Task

Haines et al (2018) Cognitive Science

Combined genetic influence of the nicotinic receptor gene cluster CHRNA5/A3/B4 on nicotine dependence

Lee et al (2018) BMC Genomics

Selective effects of the loss of NMDA or mGluR5 receptors in the reward system on adaptive decision-making

Cieślak et al (2018) eNeuro

Easyml: Easily Build and Evaluate Machine Learning Models

Ahn et al (2017) bioRxiv

The Indirect Effect of Emotion Regulation on Minority Stress and Problematic Substance Use in Lesbian, Gay, and Bisexual Individuals

Rogers et al (2017) Frontiers in Psychology

Predicting the knowledge-recklessness boundary in the human brain

Vilares et al 2017 PNAS

Revealing neuro-computational mechanisms of reinforcement learning and decision-making with the hBayesDM package

Ahn et al (2017) Computational Psychiatry

Challenges and promises for translating computational tools into clinical practice

Ahn & Busemeyer 2016. Curr Opin in Behav Sci

Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence

Ahn & Vassileva 2016 Drug and Alcohol Dependence

Utility of machine learning approaches to identify behavioral markers for substance use disorders: Impulsivity dimensions as predictors of current cocaine dependence

Ahn et al 2016 Frontiers in Psychiatry

Computational modeling for addiction medicine: From cognitive models to clinical applications

Ahn et al 2016 Progress in Brain Research

Resting-state EEG, Impulsiveness, and Personality in Daily and Nondaily Smokers.

Rass et al 2016 Clinical Neurophysiology

Nonpolitical images evoke neural predictors of political ideology

Ahn et al 2014 Curr Biol

Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users

Ahn et al 2014 Frontiers in Decision Neuroscience

Differential impairments underlying decision making in anorexia nervosa and bulimia nervosa: A cognitive modeling analysis

Chan et al 2014 International Journal of Eating Disorders

To simulate or not? Comment on Steingroever, Wetzels, and Wagenmakers (2014)

Konstantinidis et al 2014 Decision

Cognitive modeling analysis reveals distinct effects of HIV and drug use on decision-making processes in women

Vassileva et al 2013 PLos ONE

Building bridges between neuroscience and complex decision making behavior

Ahn et al 2013 Progress in Cognitive Science: From Cellular Mechanisms to Computational Theories

Emotion-based reinforcement learning

Ahn et al 2012 Cognitive Science Proceeding

Temporal discounting of rewards in patients with bipolar disorder and schizophrenia

Ahn et al 2011 J Abnormal Psych

A model-based fMRI analysis with hierarchical Bayesian parameter estimation

Ahn et al 2011 J Neuro Psych Econ

Propensity for risk taking and impulsivity in the Iowa Gambling Task

Upton et al 2011 Personality and Individual Differences

Cognitive mechanisms underlying risky decision-making in chronic cannabis users

Fridberg et al 2010 Journal of Mathematical Psychology

Steady state responses: Electrophysiological assessment of sensory function in schizophrenia

Brenner et al 2009 Schizophrenia Bulletin

Comparison of decision learning models using the generalization criterion method

Ahn et al 2008 Cognitive Science