Publications

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.

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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.

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Taylor, R., & Bays, P. M. (2020). Theory of neural coding predicts an upper bound on estimates of memory variability. Psychological Review, 127(5), 700.

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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.

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Bays, P. M., & Taylor, R. (2018). A neural model of retrospective attention in visual working memory. Cognitive Psychology, 100, 43–52.

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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.

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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.

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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.

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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.

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Donkin, C., Kary, A., Tahir, F., & Taylor, R. (2016). Resources masquerading as slots: Flexible allocation of visual working memory. Cognitive Psychology, 85, 30–42.

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At a glance

peer-reviewed papers

2016–22

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Full list also on Google Scholar.