Uncertainty-driven regulation of learning and exploration in adolescents: A computational account M Jepma, JV Schaaf, I Visser, HM Huizenga PLoS computational biology 16 (9), e1008276, 2020 | 23 | 2020 |
Attachment Representations in Children with and without Attention-Deficit/Hyperactivity Disorder (ADHD) TJ Dekkers, R Hornstra, BJ van den Hoofdakker, SRC de Jong, JV Schaaf, ... Brain Sciences 11 (11), 1516, 2021 | 7 | 2021 |
A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning JV Schaaf, M Jepma, I Visser, HM Huizenga Journal of Mathematical Psychology 93, 102276, 2019 | 6 | 2019 |
Network models to organize a dispersed literature: the case of misunderstanding analysis of covariance K Derks, J Burger, J van Doorn, JJ Kossakowski, D Matzke, L Atticciati, ... Journal of European Psychology Students 9 (1), 2018 | 6 | 2018 |
Effects of advice on experienced-based learning in adolescents and adults M Jepma, JV Schaaf, I Visser, HM Huizenga Journal of Experimental Child Psychology 211, 105230, 2021 | 3 | 2021 |
Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents M Jepma, JV Schaaf, I Visser, HM Huizenga Scientific Reports 12 (1), 1-14, 2022 | 2* | 2022 |
Development of decision making based on internal and external information: A hierarchical Bayesian approach JN Zadelaar, JAA van Rentergem, JV Schaaf, TJ Dekkers, N de Vent, ... Judgment and Decision Making 16 (6), 1413-1438, 2021 | 2 | 2021 |
Test-retest reliability of reinforcement learning parameters JV Schaaf, L Weidinger, L Molleman, W van den Bos | | 2023 |
Why does the marshmallow test predict later life outcomes? A commentary on Michaelson and Munakata (2020) HM Huizenga, JV Schaaf, M Jepma PsyArXiv, 2022 | | 2022 |
(Mal)Adaptive learning after switches between object-based and rule-based environments JV Schaaf, B Xu, M Jepma, I Visser, HM Huizenga Computational Brain & Behavior, 1-11, 2022 | | 2022 |