Yinan is a cognitive neuroscientist at UKE and a postdoc with Kostis Tsetsos. He is captivated by humanity's curious talent for making what appear to be noisy and biased decisions – choices that, despite their apparent folly, may actually be smart and optimal. He tackles this question by delving into decision-making within multisensory contexts and scenarios presenting multiple options (N > 2), each teeming with diverse attributes. Using neuroimaging (mainly MEG), pharmacology, and computational modeling, he explores how the brain samples information and allocates attention.
He completed his D.Phil. at the University of Oxford in the lab of Chris Summerfield. His scientific journey has also been fortunate to be guided and supported by mentors such as Stephen McAdams, Bruno Giordano, Christoph Kayser, Andrew Saxe, and Tobias H. Donner.
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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
bioRxiv (2023)
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Decision bias and sampling asymmetry in reward-guided learning
Yinan Cao and Konstantinos Tsetsos
bioRxiv (2023)
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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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