2022 – Editorial

Elliott, J. G. C., Gilboa-Schechtman, E., Grigorenko, E. L., Heathcote, A., Purdie-Greenaway, V. J., Uddin, L. Q., van der Maas, H. L. J., & Waldmann, M. R. (2022). Editorial. Psychological Review, 129, 1-3.

2022 – A General Architecture for Modeling

Ballard, T., Neal, A., Farrell, S., Lloyd, E., Lim, J., & Heathcote, A. (2022). A general architecture for modeling the dynamics of goal-directed motivation and decision making. Psychological Review, 129, 146-174.

2023 – Automated Decision Aids

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, 849-868.

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.

2022 – Decision SincNet

Sun, Q. J., Vo, K., Lui, K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022, July). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp.… Continue reading →