Our research centers around human learning and decision making, integrating behavioural, computational, and neuroscience perspectives. We are interested in using large real-world data sources to understand human behaviour and its underpinnings.
- The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks Computational Brain & Behavior DOI: 10.1007/s42113-021-00098-y
- Levels of biological plausibility. Philos Trans R Soc Lond B Biol Sci, 376 (1815), 20190632-20190632 DOI: 10.1098/rstb.2019.0632
- Similarity as a Window on the Dimensions of Object Representation. Trends Cogn Sci DOI: 10.1016/j.tics.2020.12.003
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