2022 – What Happens After a Fast Versus Slow Error
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 & Behavior.
2022 – Evidence accumulation in the wild
Boag, R.J., Strickland, L., Heathcote, A., Neal, A., Palada, H., & Loft, S. (2022). Evidence accumulation modelling in the wild: Understanding safety-critical decisions. Trends in Cognitive Sciences.
2022 – Automated Decision Aids
Strickland, L., Boag, R.J., Heathcote, A., Bowden, V., & Loft, S. (2022). Automated decision aids: When are they advisors and when do they take control of human decision making? Journal of Experimental Psychology: Applied.
2022 – Intra-Individual Networks of Response Inhibition
Isherwood, S.J.S, Bazin, P.L., Miletic, S., Trutti, A.C., Tse, D.H.Y, Stevenson, N.R., Heathcote, A., Matzke, D., Innes, R.J., Habli, S., Sokolowski, D.R., Goa, P.E., Alkemade, A., Haberg, A.K., & Forstmann, B.U. Intra-individual networks of response inhibition and interference resolution at… Continue reading →
2022 – Bayes Factors for Mixed Models
van Doorn, J., Haaf, J.M., Stefan, A.M., Wagenmakers, E.-J., Cox, G.E., Davis-Stober, C.P., Heathcote, A., Heck, D., Kalish, M., Kellen, D., Matzke, D., Morey, R.D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J.N., Shiffrin, R.M., Schad, D.J., Singmann, H., Vasishth, S.,… Continue reading →
2022 – Comparing Models of Learning
Kumar, A., Benjamin, A. S., Heathcote, A., & Steyvers, M. (2022). Comparing models of learning and relearning in large-scale cognitive training data sets. npj Science of Learning, 7, 24.
2022 – App-Enhanced Cognitive Fitness
Aidman, E., Fogarty, G. J., Crampton, J., Bond, J., Taylor, P., Heathcote, A., & Zaichkowsky, L. (2022). An app-enhanced cognitive fitness training program for athletes: The rationale and validation protocol. Frontiers in Psychology, 13, 957551.
Sub – Decision SincNet
Sun, Q. J., Vo, K., Lui, K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. arXiv preprint arXiv:2208.02845.
Sub – A general integrative neurocognitive modeling framework
Ghaderi-Kangavari, A., Rad, J. A., & Nunez, M. D. (2022). A general integrative neurocognitive modeling framework to jointly describe EEG and decision-making on single trials. PsycArXiv Preprints.
2022 – A Unified Theory of Discrete
Kvam, P., Marley, A. A. J., & Heathcote, A. (2022). A unified theory of discrete and continuous responding. Psychological Review.