Bayesian learning theory applied to human cognition.

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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “problems, such as diagnosis of Alzheimer’s disease [76], fault location on distribution feeder [77], human cognition [78], educational testing [79], analysis of resistance pathways against HIV-1 protease inhibitors [80], ovarian cancer diagnosis [81], fault diagnostic system for proton exchange memb”
A framework for Bayesian optimality of psychophysical laws (2012, background): “…in the nervous system is algorithmically well-matched to the statistical properties of the natural environment (Olshausen & Field, 2004) and that therefore operation of the brain is probabilistically efficient, i.e. Bayes-optimal (Friston, 2010; Jacobs & Kruschke, 2011; Knill & Pouget, 2004).”