Daniel J. Kersten, Ph.D.

Professor, Department of Psychology

E-mail: kersten@umn.edu

Kersten Computational Vision Lab (www.kersten.org)


Research Interests:

The human visual system may be the most complex pattern recognition device known. In ways yet to be fully understood, the visual brain arrives at interpretations of the retinal image data that are useful for the decisions and actions of everyday life. Exactly how the brain translates retinal image intensities to useful actions is a tough problem requiring multiple approaches. A major theoretical challenge is to discover the computational principles required to estimate object properties and determine motor output from image features. Computational vision searches for these solutions (Kersten and Yuille, 2003). The experimental challenge is to discover how our visual systems and those of other animals are built to achieve useful actions from the images received. My lab uses behavioral and and brain imaging to investigate how the visual pathways of the brain transform image information into useful actions (Bloj et al., 1999, Murray et al., 2002).


Selected Publications:

(For a comprehensive list of recent publications, refer to PubMed, a service provided by the National Library of Medicine.)

  • Shaikh ZA, Chung JA, Kersten DJ, Feldman AM, Asheld WJ, Germano J, Islam S, Cohen TJ.   Differences in Approaches and Outcomes of Defibrillator Lead Implants Between High-Volume and Low-Volume Operators: Results From the Pacemaker and Implantable Defibrillator Leads Survival Study ("PAIDLESS").  J Invasive Cardiol. 2017 Dec;29(12):E184-E189.  PMID: 29207366
  • Morgenstern Y, Kersten DJ. The perceptual dimensions of natural dynamic flow. J Vis. 2017;17(12):7. doi: 10.1167/17.12.7.
  • Thompson WB, Legge GE, Kersten DJ, Shakespeare RA, Lei Q. Simulating visibility under reduced acuity and contrast sensitivity. J Opt Soc Am A Opt Image Sci Vis. 2017;34:583-593.
  • Kam TE, Mannion DJ, Lee SW, Doerschner K, Kersten DJ. Human visual cortical responses to specular and matte motion flows. Front Hum Neurosci. 2015;9:579. doi: 10.3389/fnhum.2015.00579.
  • Mannion DJ, Kersten D, Olman CA. Scene coherence can affect the local response to natural images in human V1. Eur J Neurosci. 2015;42:2895-2903.
  • Green CS, Kattner F, Siegel MH, Kersten D, Schrater PR. Differences in perceptual learning transfer as a function of training task. J Vis. 2015;15(10):5.
  • Akin B, Ozdem C, Eroglu S, Keskin DT, Fang F, Doerschner K, Kersten D, Boyaci H. Attention modulates neuronal correlates of interhemispheric integration and global motion perception. J Vis. 2014;14(12). pii: 30.
  • Mannion DJ, Kersten DJ, Olman CA. Regions of mid-level human visual cortex sensitive to the global coherence of local image patches. J Cogn Neurosci. 2014;26(8):1764-74
  • Qiu C, Kersten D, Olman CA. Segmentation decreases the magnitude of the tilt illusion. J Vis. 2013;13(13):19
  • McMenamin BW, Radue J, Trask J, Huskamp K, Kersten D, Marsolek CJ. The diagnosticity of color for emotional objects. Motiv Emot. 2013;37:609-622.
  • Mannion DJ, Kersten DJ, Olman CA. Consequences of polar form coherence for fMRI responses in human visual cortex. Neuroimage. 2013;78:152-158.
  • Green CS, Benson C, Kersten D, Schrater P. Alterations in choice behavior by manipulations of world model. Proc Natl Acad Sci U S A. 2010;107:16401-6406.

Former Graduate Students:

Jennifer Schumacher (Ph.D. 2010, Neuroscience, University of Minnesota).

Serena Thompson (Ph.D. 2009, Neuroscience, University of Minnesota).

Cheryl Olman (Ph.D. 2003, Neuroscience, University of Minnesota).

Mark Brady (Ph.D. 1999, Neuroscience, University of Minnesota).

Wendy Braje (Cognitive and Biological Psychology, University of Minnesota).

Pascal Mamassian (Ph.D. 1995, University of Minnesota).

Daniel J. Kersten