Search results
Results: 23
Number of items: 23
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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 -
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2022). Self-reported mind wandering reflects executive control and selective attention. Psychonomic Bulletin and Review, 29(6), 2167-2180. https://doi.org/10.3758/s13423-022-02110-3 -
Evans, N. J., Hawkins, G. E., & Brown, S. D. (2020). The Role of Passing Time in Decision-Making. Journal of Experimental Psychology: Learning Memory and Cognition, 46(2), 316–326. https://doi.org/10.1037/xlm0000725
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Katsimpokis, D., Hawkins, G. E., & van Maanen, L. (2020). Not all Speed-Accuracy Trade-Off Manipulations Have the Same Psychological Effect. Computational Brain & Behavior, 3(3), 252–268. https://doi.org/10.1007/s42113-020-00074-y -
Evans, N. J., & Hawkins, G. E. (2019). When humans behave like monkeys: Feedback delays and extensive practice increase the efficiency of speeded decisions. Cognition, 184, 11-18. https://doi.org/10.1016/j.cognition.2018.11.014
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Csifcsák, G., Boayue, N. M., Aslaksen, P. M., Turi, Z., Antal, A., Groot, J., Hawkins, G. E., Forstmann, B. U., Opitz, A., Thielscher, A., & Mittner, M. (2019). Commentary: Transcranial stimulation of the frontal lobes increases propensity of mind-wandering without changing meta-awareness. Frontiers in Psychology, 10, Article 130. https://doi.org/10.3389/fpsyg.2019.00130 -
Turi, Z., Csifcsák, G., Boayue, N. M., Aslaksen, P., Antal, A., Paulus, W., Groot, J., Hawkins, G. E., Forstmann, B., Opitz, A., Thielscher, A., & Mittner, M. (2019). Blinding is compromised for transcranial direct current stimulation at 1 mA for 20 min in young healthy adults. European Journal of Neuroscience, 50(8), 3261-3268. https://doi.org/10.1111/ejn.14403 -
Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., ... Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review, 26(4), 1051-1069. https://doi.org/10.3758/s13423-017-1417-2 -
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2019). Modeling distracted performance. Cognitive Psychology, 112, 48-80. https://doi.org/10.1016/j.cogpsych.2019.05.002 -
Boehm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G. D., Palmeri, T. J., van Ravenzwaaij, D., Servant, M., Singmann, H., Starns, J. J., Voss, A., Wiecki, T. V., Matzke, D., & Wagenmakers, E.-J. (2018). Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations. Journal of Mathematical Psychology, 87, 46-75. https://doi.org/10.1016/j.jmp.2018.09.004
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