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Results: 69
Number of items: 69
  • Open Access
    Hadian Rasanan, A. H., Evans, N. J., Fontanesi, L., Manning, C., Huang-Pollock, C., Matzke, D., Heathcote, A., Rieskamp, J., Speekenbrink, M., Frank, M. J., Palminteri, S., Lucas, C. G., Busemeyer, J. R., Ratcliff, R., & Rad, J. A. (2024). Beyond discrete-choice options. Trends in Cognitive Sciences, 28(9), 857-870. https://doi.org/10.1016/j.tics.2024.07.004
  • Open Access
    Stevenson, N., Innes, R. J., Boag, R. J., Miletić, S., Isherwood, S. J. S., Trutti, A. C., Heathcote, A., & Forstmann, B. U. (2024). Joint Modelling of Latent Cognitive Mechanisms Shared Across Decision-Making Domains. Computational Brain and Behavior, 7(1), 1-22. https://doi.org/10.1007/s42113-023-00192-3
  • Open Access
    Gronau, Q. F., Hinder, M. R., Salomoni, S. E., Matzke, D., & Heathcote, A. (2024). A unified account of simple and response-selective inhibition. Cognitive Psychology, 149, Article 101628. https://doi.org/10.31234/osf.io/aqk8d, https://doi.org/10.1016/j.cogpsych.2023.101628
  • Open Access
    Weigard, A., Suzuki, T., Skalaban, L. J., Conley, M., Cohen, A. O., Garavan, H., Heitzeg, M. M., Casey, B. J., Sripada, C., & Heathcote, A. (2024). Dissociable Contributions of Goal-Relevant Evidence and Goal-Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition. Cognitive Science, 48(11), Article e70019. https://doi.org/10.1111/cogs.70019
  • Isherwood, S., Bazin, P., Miletić, S., Stevenson, N., Trutti, A., H. Y. Tse, D., Heathcote, A., Matzke, D., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A., Forstmann, B., & Innes, R. (2023, June 8). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI data [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.22240393.v1
  • Open Access
    Puri, R., Hinder, M. R., & Heathcote, A. (2023). What mechanisms mediate prior probability effects on rapid-choice decision-making? PLoS ONE, 18(7), Article e0288085. https://doi.org/10.1371/journal.pone.0288085
  • Strickland, L., Boag, R. J., Heathcote, A., Bowden, V., & Loft, S. (2023). Automated decision aids: When are they advisors and when do they take control of human decision making? Journal of Experimental Psychology: Applied, 29(4), 849-868. https://doi.org/10.1037/xap0000463
  • Open Access
    van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3
  • Open Access
    Ciobanu, L. G., Stankov, L., Ahmed, M., Heathcote, A., Clark, S. R., & Aidman, E. (2023). Multifactorial structure of cognitive assessment tests in the UK Biobank: A combined exploratory factor and structural equation modeling analyses. Frontiers in Psychology, 14, Article 1054707. https://doi.org/10.3389/fpsyg.2023.1054707
  • Open Access
    Castro, S. C., Heathcote, A., Cooper, J. M., & Strayer, D. L. (2023). Dynamic Workload Measurement and Modeling: Driving and Conversing. Journal of Experimental Psychology: Applied, 29(3), 445-653. https://doi.org/10.1037/xap0000431
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