Song, Mingyu, Persis A. Baah, Ming Bo Cai, and Yael Niv. 2022. “Humans Combine Value Learning and Hypothesis Testing Strategically in Multi-Dimensional Probabilistic Reward Learning”. Preprint: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning.

Cai, Ming Bo, Michael Shvartsman, Anqi Wu, Hejia Zhang, and Xia Ju. 2020. “Incorporating Structured Assumptions With Probabilistic Graphical Models in FMRI Data Analysis”. Neuropsychologia. Publisher’s Version: Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.

Cai, Ming Bo, Nicolas Schuck, Jonathan Pillow, and Yael Niv. 2019. “Representational Structure or Task Structure? Bias in Neural Representational Similarity Analysis and a Bayesian Method for Reducing Bias”. PLoS Computational Biology. doi:10.1371/journal.pcbi.1006299.

Cai, Ming Bo, Nicolas Schuck, Lee, Luxburg, Guyon, and Garnett. 2016. “A Bayesian Method for Reducing Bias in Neural Representational Similarity Analysis”. In Advances In Neural Information Processing Systems 29, 4952–4960. Curran Associates, Inc. PDF: A Bayesian method for reducing bias in neural representational similarity analysis.

Schuck, Nicolas, Ming Bo Cai, Robert Wilson, and Yael Niv. 2016. “Human Orbitofrontal Cortex Represents a Cognitive Map of State Space”. Neuron 91 (6): 1402–1412. doi:10.1016/j.neuron.2016.08.019.