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Results: 68
Number of items: 68
  • 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
  • Open Access
    Kvam, P. D., Marley, A. A. J., & Heathcote, A. (2023). A Unified Theory of Discrete and Continuous Responding. Psychological Review, 130(2), 368-400. https://doi.org/10.1037/rev0000378
  • Open Access
    Kucina, T., Wells, L., Lewis, I., de Salas, K., Kohl, A., Palmer, M. A., Sauer, J. D., Matzke, D., Aidman, E., & Heathcote, A. (2023). Calibration of cognitive tests to address the reliability paradox for decision-conflict tasks. Nature Communications, 14, Article 2234. https://doi.org/10.1038/s41467-023-37777-2
  • Open Access
    Isherwood, S. J. S., Bazin, P., Miletić, S., Stevenson, N. R., Trutti, A. C., Tse, D. H. Y., Heathcote, A., Matzke, D., Innes, R. J., Habli, S., Sokołowski, D. R., Alkemade, A., Håberg, A. K., & Forstmann, B. U. (2023). Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI. NeuroImage, 271, Article 119988. https://doi.org/10.1016/j.neuroimage.2023.119988
  • 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
    Boag, R. J., Strickland, L., Heathcote, A., Neal, A., Palada, H., & Loft, S. (2023). Evidence accumulation modelling in the wild: understanding safety-critical decisions. Trends in Cognitive Sciences, 27(2), 175-188. https://doi.org/10.1016/j.tics.2022.11.009
  • Open Access
    Heathcote, A., & Matzke, D. (2023). The Limits of Marginality. Computational Brain & Behavior, 6(1), 28-34. https://doi.org/10.1007/s42113-021-00120-3
  • Elliott, D., Strickland, L., Loft, S., & Heathcote, A. (2022). Integrated responding improves prospective memory accuracy. Psychonomic Bulletin and Review, 29(3), 934-942. https://doi.org/10.3758/s13423-021-02038-0
  • Strickland, L., Heathcote, A., Humphreys, M. S., & Loft, S. (2022). Target Learning in Event-Based Prospective Memory. Journal of Experimental Psychology: Learning Memory and Cognition, 48(8), 1110-1126. https://doi.org/10.1037/xlm0000900
  • Open Access
    Damaso, K. A. M., Williams, P. G., & Heathcote, A. (2022). What Happens After a Fast Versus Slow Error, and How Does It Relate to Evidence Accumulation? Computational Brain and Behavior, 5(4), 527-546. https://doi.org/10.1007/s42113-022-00137-2
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