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Results: 16
Number of items: 16
  • Open Access
    Schaaf, J. V., Miletić, S., van Duijvenvoorde, A. C. K., & Huizenga, H. M. (2025). Interpretation of individual differences in computational neuroscience using a latent input approach. Developmental Cognitive Neuroscience, 72, Article 101512. https://doi.org/10.1016/j.dcn.2025.101512
  • Open Access
    Kramer, A. W., Krabbendam, L., Schaaf, J. V., Huizenga, H. M., & Van Duijvenvoorde, A. C. K. (2025). Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence. Developmental Cognitive Neuroscience, 73, Article 101559. https://doi.org/10.1016/j.dcn.2025.101559
  • Open Access
    Schaaf, J. V., Weidinger, L., Molleman, L., & van den Bos, W. (2024). Test-retest reliability of reinforcement learning parameters. Behavior Research Methods, 56(5), 4582-4599. https://doi.org/10.3758/s13428-023-02203-4
  • Open Access
    Koelen, J., Klein, A., Wolters, N., Bol, E., De Koning, L., Roetink, S., Van Blom, J., Boutin, B., Schaaf, J., Grasman, R., Van der Heijde, C. M., Salemink, E., Riper, H., Karyotaki, E., Cuijpers, P., Schneider, S., Rapee, R., Vonk, P., & Wiers, R. (2024). Web-Based, Human-Guided, or Computer-Guided Transdiagnostic Cognitive Behavioral Therapy in University Students With Anxiety and Depression: Randomized Controlled Trial. JMIR Mental Health, 11, Article e50503. https://doi.org/10.2196/50503
  • Open Access
    Schaaf, J. V., Johansson, A., Visser, I., & Huizenga, H. M. (2024). What’s in a name: The role of verbalization in reinforcement learning. Psychonomic Bulletin and Review, 31(6), 2746–2757. https://doi.org/10.3758/s13423-024-02506-3
  • Open Access
    Kramer, A.-W., Schaaf, J. V., & Huizenga, H. M. (2023). How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks. Learning and Individual Differences, 108, Article 102375. https://doi.org/10.1016/j.lindif.2023.102375
  • Open Access
    Schaaf, J. V. (2023). Learning how we learn: Feedback-learning models to understand development. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Schaaf, J. V., Xu, B., Jepma, M., Visser, I., & Huizenga, H. M. (2022). (Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments. Computational Brain & Behavior, 5(2), 157-167. https://doi.org/10.1007/s42113-022-00134-5
  • Open Access
    Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2022). Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents. Scientific Reports, 12, Article 6490. https://doi.org/10.1038/s41598-022-10100-7
  • Open Access
    Zadelaar, J. N., Agelink van Rentergem, J. A., Schaaf, J. V., Dekkers, T. J., de Vent, N., Dekkers, L. M. S., Olthof, M. C., Jansen, B. R. J., & Huizenga, H. M. (2021). Development of decision making based on internal and external information: A hierarchical Bayesian approach. Judgment and Decision Making, 16(6), 1413-1438. https://doi.org/10.1017/S1930297500008482
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