Daniel Kersten
Psychology

     Dr. Kersten is interested in understanding human visual perception.  His research treats visual perception as a process of statistical inference that transforms high-dimensional, often ambiguous image features, into reliable estimates of object properties, such as size, distance, shape, and material. Theories of vision as inference lead to empirical tests regarding human perception and cortical function of the brain. Examples of current research include: how scene context influences perception of size; whether material properties such as shininess can be learned; the optimality of visual choices given rewards.

• Kersten, D., & Yuille, A. (2003). Bayesian models of object perception.
  Current Opinion in Neurobiology, 13(2), 1-9.
  
  
• Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L.
  (2002). Shape perception reduces activity in human primary visual cortex.
  Proceedings of  the National Academy of Sciences USA, 99, 15164-15169.|
  
• Murray, S. O., Boyaci, H., & Kersten, D. (2006). The representation of perceived angular size in human primary visual cortex. Nat Neurosci, 9(3), 429-434.

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