2022
Taylor, R., Tomić, I., Aagten-Murphy, D., & Bays, P. M. (2022). Working memory is updated by reallocation of resources from obsolete to new items. Attention, Perception, & Psychophysics, 1-15 (pdf)
2020
Schneegans, S., Taylor, R., & Bays, P. M. (2020). Stochastic sampling provides a unifying account of visual working memory limits. Proceedings of the National Academy of Sciences, 117(34), 20959-20968 (pdf)
Taylor, R., & Bays, P. M. (2020). Theory of neural coding predicts an upper bound on estimates of memory variability. Psychological Review, 127(5), 700 (pdf)
2018
Taylor, R., & Bays, P. M. (2018). Efficient coding in visual working memory accounts for stimulus-specific variations in recall. Journal of Neuroscience, 38(32), 7132-7142 (pdf)
Bays, P. M., & Taylor, R. (2018). A neural model of retrospective attention in visual working memory. Cognitive Psychology, 100, 43-52 (pdf)
2017
Taylor, R., Thomson, H., Sutton, D., & Donkin, C. (2017). Does working memory have a single capacity limit?. Journal of Memory and Language, 93, 67-81 (pdf)
Konstantinidis, E., Taylor, R. T., & Newell, B. R. (2018). Magnitude and incentives: revisiting the overweighting of extreme events in risky decisions from experience. Psychonomic Bulletin & Review, 25(5), 1925-1933 (pdf)
Hayes, B. K., Dunn, J. C., Joubert, A., & Taylor, R. (2017). Comparing single‐and dual‐process models of memory development. Developmental Science, 20(6), e12469 (pdf)
2016
Kary, A., Taylor, R., & Donkin, C. (2016). Using Bayes factors to test the predictions of models: A case study in visual working memory. Journal of Mathematical Psychology, 72, 210-219 (pdf)
Donkin, C., Kary, A., Tahir, F., & Taylor, R. (2016). Resources masquerading as slots: Flexible allocation of visual working memory. Cognitive Psychology, 85, 30-42 (pdf)