Search results
Results: 9
Number of items: 9
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Boag, R. J., Innes, R. J., Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G. E., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S. D., Logan, G. D., Matzke, D., Miletić, S., Osth, A. F., Palmeri, T. J., Sederberg, P. B., ... Forstmann, B. U. (2025). An Expert Guide to Planning Experimental Tasks For Evidence-Accumulation Modeling. Advances in Methods and Practices in Psychological Science, 8(2), Article 25152459251336127. https://doi.org/10.1177/25152459251336127 -
Boag, R. J., Strickland, L., Heathcote, A., & Loft, S. (2025). The Dynamics of Stability and Flexibility: How Attentional and Cognitive Control Support Multitasking Under Time Pressure. Journal of Experimental Psychology: General, 154(6), 1699-1728. https://doi.org/10.1037/xge0001749 -
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 -
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
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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 -
Miletić, S., Boag, R. J., Trutti, A. C., Stevenson, N., Forstmann, B. U., & Heathcote, A. (2021). A new model of decision processing in instrumental learning tasks. eLife, 10, Article e63055. https://doi.org/10.7554/eLife.63055 -
Boag, R. J., Stevenson, N., van Dooren, R., Trutti, A. C., Sjoerds, Z., & Forstmann, B. U. (2021). Cognitive control of working memory: A model-based approach. Brain Sciences, 11(6), Article 721. https://doi.org/10.3390/brainsci11060721 -
Trutti, A. C., Verschooren, S., Forstmann, B. U., & Boag, R. J. (2021). Understanding subprocesses of working memory through the lens of model-based cognitive neuroscience. Current Opinion in Behavioral Sciences, 38, 57-65. https://doi.org/10.1016/j.cobeha.2020.10.002 -
Miletić, S., Boag, R. J., & Forstmann, B. U. (2020). Mutual benefits: Combining reinforcement learning with sequential sampling models. Neuropsychologia, 136, Article 107261. https://doi.org/10.1016/j.neuropsychologia.2019.107261
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