| 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 | 380 | 2017 |
| A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox N Haines, PD Kvam, L Irving, C Smith, TP Beauchaine, MA Pitt, BM Turner Psychological Methods, 0 | 145* | |
| 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 |
| 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 | 54 | 2019 |
| A computational model of the Cambridge gambling task with applications to substance use disorders RJ Romeu, N Haines, WY Ahn, JR Busemeyer, J Vassileva Drug and alcohol dependence 206, 107711, 2020 | 47 | 2020 |
| Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm WY Ahn, H Gu, Y Shen, N Haines, HA Hahn, JE Teater, JI Myung, MA Pitt Scientific reports 10 (1), 12091, 2020 | 46 | 2020 |
| From classical methods to generative models: Tackling the unreliability of neuroscientific measures in mental health research N Haines, H Sullivan-Toole, T Olino Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 8 (8), 822-831, 2023 | 30 | 2023 |
| Anxiety modulates preference for immediate rewards among trait-impulsive individuals: A hierarchical Bayesian analysis N Haines, TP Beauchaine, M Galdo, AH Rogers, H Hahn, MA Pitt, ... Clinical Psychological Science 8 (6), 1017-1036, 2020 | 28 | 2020 |
| Enhancing the psychometric properties of the iowa gambling task using full generative modeling H Sullivan-Toole, N Haines, K Dale, TM Olino Computational Psychiatry 6 (1), 189, 2022 | 25 | 2022 |
| Future directions for cognitive neuroscience in psychiatry: Recommendations for biomarker design based on recent test re-test reliability work RJR Blair, A Mathur, N Haines, S Bajaj Current Opinion in Behavioral Sciences 44, 101102, 2022 | 23 | 2022 |
| Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research N Haines, Z Bell, S Crowell, H Hahn, D Kamara, H McDonough-Caplan, ... Development and psychopathology 31 (3), 871-886, 2019 | 23 | 2019 |
| Functionalist and constructionist perspectives on emotion dysregulation TP Beauchaine, N Haines, SE Crowell The Oxford handbook of emotion dysregulation, 1-11, 2020 | 18 | 2020 |
| Delay discounting of protected sex: Relationship type and sexual orientation influence sexual risk behavior H Hahn, S Kalnitsky, N Haines, S Thamotharan, TP Beauchaine, WY Ahn Archives of sexual behavior 48, 2089-2102, 2019 | 18 | 2019 |
| What is next for the neurobiology of temperament, personality and psychopathology? I Trofimova, S Bajaj, SA Bashkatov, J Blair, A Brandt, RCK Chan, ... Current Opinion in Behavioral Sciences 45, 101143, 2022 | 12 | 2022 |
| Easyml: Easily build and evaluate machine learning models P Hendricks, WY Ahn BioRxiv, 137240, 2017 | 10 | 2017 |
| Explaining the description-experience gap in risky decision-making: Learning and memory retention during experience as causal mechanisms N Haines, PD Kvam, BM Turner Cognitive, Affective, & Behavioral Neuroscience 23 (3), 557-577, 2023 | 8 | 2023 |
| Negative affect induces rapid learning of counterfactual representations: A model-based facial expression analysis approach N Haines, O Rass, YW Shin, JW Brown, WY Ahn, WY Ahn, N Haines bioRxiv, 2020 | 8* | 2020 |
| Easyml: easily build and evaluate machine learning models bioRxiv: 137240 WY Ahn, P Hendricks, N Haines | 6 | 2017 |
| Moving beyond ordinary factor analysis in studies of personality and personality disorder: A computational modeling perspective N Haines, TP Beauchaine Psychopathology 53 (3-4), 157-167, 2020 | 4 | 2020 |