He is captivated by humanity's curious talent for making noisy and biased decisions that, despite their apparent folly, may be smart and efficient. Combining EEG, MEG, pupillometry and computational modeling, including artificial neural networks, his lab studies how the brain seeks and samples information over time, and allocates attention to decide under uncertainty, in multisensory settings and in choices among many options with diverse attributes.
Perspectives on the mechanistic underpinnings of choice biases Konstantinos Tsetsos and Yinan Cao
In: Ettinger, U., Heinrichs, B., Murawski, C. (eds) Decision Making. Studies in Neuroscience, Psychology and Behavioral Economics. Springer. (2025)
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Rhythmic sampling of multiple decision alternatives in the human brain Marcus Siems, Yinan Cao, Maryam Tohidi-Moghaddam, Tobias H. Donner and Konstantinos Tsetsos
Nature Communications (2026)
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Clarifying the role of an unavailable distractor in human multiattribute choice Yinan Cao and Konstantinos Tsetsos
eLife (2022)
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Characterizing emergent representations in a space of candidate learning rules for deep networks Yinan Cao, Christopher Summerfield and Andrew Saxe
Advances in Neural Information Processing Systems (NeurIPS) (2020)
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Causal inference in the multisensory brain Yinan Cao, Christopher Summerfield, Hame Park, Bruno L. Giordano and Christoph Kayser
Neuron (2019)
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Contact
The best way to reach me is via email:
ycaoneuro [at] gmail . com