| 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 | 41 | 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 | 14 | 2021 |
| Test-retest reliability of reinforcement learning parameters JV Schaaf, L Weidinger, L Molleman, W Van den Bos Behavior Research Methods, 2023 | 12 | 2023 |
| 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 | 12 | 2019 |
| Development of decision making based on internal and externalinformation: 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 | 6 | 2021 |
| 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), 48-57, 2018 | 6 | 2018 |
| How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks AW Kramer, JV Schaaf, HM Huizenga Learning and Individual Differences 108, 102375, 2023 | 4 | 2023 |
| Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents M Jepma, JV Schaaf, I Visser, HM Huizenga Scientific Reports 12 (1), 6490, 2022 | 3* | 2022 |
| 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 |
| Web-Based, Human-Guided, or Computer-Guided Transdiagnostic Cognitive Behavioral Therapy in University Students With Anxiety and Depression: Randomized Controlled Trial J Koelen, A Klein, N Wolters, E Bol, L De Koning, S Roetink, J Van Blom, ... JMIR Mental Health 11, e50503, 2024 | 2 | 2024 |
| (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 | 1 | 2022 |
| Protocol and preregistration for the CODEC project: measuring, modelling and mechanistically understanding the nature of cognitive variability in early childhood IEJI Coolen, J van Langen, S Hofman, FE van Aagten, JV Schaaf, ... BMC psychology 12 (1), 407, 2024 | | 2024 |
| COgnitive Dynamics in Early Childhood I Coolen, J van Langen, S Hofman, FE van Aagten, J Schaaf, L Michel, ... OSF, 2024 | | 2024 |
| What’s in a name: The role of verbalization in reinforcement learning JV Schaaf, A Johansson, I Visser, HM Huizenga Psychonomic Bulletin & Review, 1-12, 2024 | | 2024 |
| Learning how we learn: Feedback-learning models to understand development JV Schaaf | | 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 |
| How feedback valence and load affect learning and cognitive effort investment AW Kramer, J Schaaf, HM Huizenga, ACK van Duijvenvoorde, ... OSF, 2020 | | 2020 |
| First Things First? Decision Strategies in a Consecutive Context J Schaaf, L Dekkers, ST Kevenaar, N Seijdel, WD Weeda, BRJ Jansen, ... Decision Strategies in a Consecutive Context, 0 | | |
| Advocating a New Default for Time Series Modeling: Asymmetric Temporal Dynamics using Threshold Dynamics Parameters JV Schaaf, Ø Sørensen, EM McCormick, M Aristodemou, RA Kievit OSF, 0 | | |
| Interpretation of individual differences in computational neuroscience J Schaaf, S Miletić, ACK van Duijvenvoorde, HM Huizenga OSF, 0 | | |
Hilde M HuizengaUniversity of AmsterdamVerified email at uva.nl
