Daniel Kersten

Research Papers



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124 Fan, X., Wang, L., Shao, H., Kersten, D., & He, S. (2016). Temporally flexible feedback signal to foveal cortex for peripheral object recognition. Proc Natl Acad Sci U S A, 201606137–6. http://doi.org/10.1073/pnas.1606137113

123 Qiu, C., Burton, P. C., Kersten, D., & Olman, C. A. (2016). Responses in early visual areas to contour integration are context dependent. Journal of Vision, 16(8), 19–18. http://doi.org/10.1167/16.8.19

122 Green, C. S., Kattner, F., Siegel, M. H., Kersten, D., & Schrater, P. R. (2015). Differences in perceptual learning transfer as a function of training task. Journal of Vision, 15(10):5, 1–14. doi:10.1167/15.10.5.

121 Mannion, Damien J., Daniel J. Kersten, and Cheryl A. Olman. (2015) "Scene coherence can affect the local response to natural images in human V1." European Journal of Neuroscience 42 (11), 2895-2903.

120 Kam, T.-E., Mannion, D. J., Lee, S.-W., Doerschner, K., & Kersten, D. J. (2015). Human visual cortical responses to specular and matte motion flows. Frontiers in Human Neuroscience, 9, 1–13. http://doi.org/10.3389/fnhum.2015.00579

119 Yuille, A.L. & Kersten D (in press) Early Vision. In From Neuron to Cognition via Computational Neuroscience, M.A. Arbib, James J. Bonaiuto Editors, Cambridge MA: The MIT Press (pdf draft)

118 Kersten D. & Mamassian, P. (in press) Cast Shadow Illusions. Oxford Compendium of Visual Illusions. Arthur G. Shapiro and Dejan Todorovic, Editors. (pdf draft)

117 Mannion, D. J., Kersten, D. J., & Olman, C. A. (2014) Regions of mid-level human visual cortex sensitive to the global coherence of local image patches. Journal of Cognitive Neuroscience. 6 (8), 1764-1774. (pdf)

116 Kersten D. & Yuille, A.L.(2014) Inferential Models of the Visual Cortical Hierarchy. The New Cognitive Neurosciences, 5th Edition. Michael S. Gazzaniga and George R. Mangun (editors) (draft pdf) (MIT press link)

115 Akin, B., Ozdem, C., Eroglu, S., Keskin, D. T., Fang, F., Doerschner, K., et al. (2014). Attention modulates neuronal correlates of interhemispheric integration and global motion perception. Journal of Vision, 14(12), 30–30. http://doi.org/10.1167/14.12.30 (pdf)

114 Kersten D. & Yuille, A.L.(2013) Vision: Bayesian Inference and Beyond. The New Visual Neurosciences. John S. Werner and Leo M. Chalupa (Editors) MIT Press. Cambridge MA..(draft pdf) (book pdf) (MIT press link)

113 Qiu, Cheng, Kersten D., Olman, C.A. (2013) Segmentation decreases the magnitude of the tilt illusion. Journal of Vision, 13(13): 19, 1-17; doi:10.1167/13.13.19. (pdf)

112 Kersten D., Shakespeare R., and Thompson W. (2013). Predicting Visibility in Designs of Public Spaces. University of Utah Computer Sciences Technical Report. UUCS 13-001 (pdf).

111 Mannion, D. J., Kersten, D. J., & Olman, C. A. (2013). Consequences of polar form coherence for fMRI responses in human visual cortex. NeuroImage, 78(C), 152–158. doi:10.1016/j.neuroimage.2013.04.036 (link)

110 McMenamin, B. W., Radue, J., Trask, J., Huskamp, K., Kersten, D., & Marsolek, C. J. (2012). The diagnosticity of color for emotional objects. Motivation and Emotion. doi:10.1007/s11031-012-9319-0 (link)

109 He, D., Kersten, D., & Fang, F. (2012). Opposite modulation of high- and low-level visual aftereffects by perceptual grouping. Current biology : CB, 22(11), 1040–1045. doi:10.1016/j.cub.2012.04.026 (link)

108 Hegdé, J., Thompson, S., Brady, M., & Kersten, D. (2012). Object Recognition in Clutter: Cortical Responses Depend on the Type of Learning. Frontiers in Human Neuroscience. doi:10.3389/fnhum.2012.00170/abstract (pdf)

107 Hauffen, K., Bart, E., Brady, M., Kersten, D., & Hegdé, J. (2012). Creating Objects and Object Categories for Studying Perception and Perceptual Learning. Journal of Visualized Experiments, (69). doi:10.3791/3358 (link)

106 Doerschner, K., Fleming, R. W., Yilmaz, O., Schrater, P. R., Hartung, B., & Kersten, D. (2011). Visual Motion and the Perception of Surface Material. Current Biology, 21(23), 2010–2016. doi:10.1016/j.cub.2011.10.036 (link)

105 Battaglia P, Kersten D, Schrater PR (2011) How Haptic Size Sensations Improve Distance Perception. PLoS Comput Biol 7(6): e1002080. doi:10.1371/journal.pcbi.1002080 (pdf)

104 Doerschner, K., Kersten, D., & Schrater, P. R. (2011). Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognition, 44(9), 1874–1884. doi:10.1016/j.patcog.2010.09.007 (pdf)

103 Boyaci, H., Fang, F., Murray, S. O., & Kersten, D. (2010). Perceptual grouping-dependent lightness processing in human early visual cortex. Journal of Vision, 10(9). http://jwww.journalofvision.org/content/10/9/4.full

102 Green, C. S., Benson, C., Kersten, D., & Schrater, P. (2010). Alterations in choice behavior by manipulations of world model. Proceedings of the National Academy of Sciences, 107(37), 16401-16406.(pdf)

101 Hegde, J., & Kersten, D. (2010). A link between visual disambiguation and visual memory. J Neurosci, 30(45), 15124-15133.(pdf)

100 Battaglia P., Kersten D., & Schrater P (2011) The role of generative knowledge in object perception. Sensory Cue Integration, Trommershäuser, Landy, & Körding, (Eds). Oxford University Press. (amazon.com)

99 Battaglia, P. W., Di Luca, M., Ernst, M. O., Schrater, P. R., Machulla, T., & Kersten, D. (2010). Within- and cross-modal distance information disambiguate visual size-change perception. PLoS Comput Biol, 6(3), e1000697.

98 Kersten, D., & Murray, S. O. (2010). Vision: when does looking bigger mean seeing better? Curr Biol, 20(9), R398-399.

96 Gold JM , Abbey C , Tjan BS , and Kersten D (2009) Ideal Observers and Efficiency: Commemorating 50 Years of Tanner and Birdsall: Introduction. JOSA A, Vol. 26, Issue 11, pp. IO1-IO2 doi:10.1364/JOSAA.26.000IO1

95 Doerschner K, Kersten D, & Schrater P. (2009) Rapid Classification of Surface Reflectance from Image Velocities. Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, volume 5702, pp. 856-864.

94 Fang, F., Boyaci, H., & Kersten, D. (2009). Border ownership selectivity in human early visual cortex and its modulation by attention. J Neurosci, 29(2), 460-465. (link)

93 Kersten, D & Mamassian, P (2009) Ideal Observer Theory. In: Squire LR (ed.) Encyclopedia of Neuroscience, volume 5, pp. 89-95. Oxford: Academic Press.

92 Fang, F., Boyaci, H., Kersten, D., & Murray, S. O. (2008). Attention-dependent representation of a size illusion in human V1. Curr Biol, 18(21), 1707-1712. (link)

91 Hegde, J., Bart, E., & Kersten, D. (2008). Fragment-Based Learning of Visual Object Categories. Curr Biol. 18, 597-601.http://download.current-biology.com/pdfs/0960-9822/PIIS096098220800448X.pdf

90 Fang F, Kersten & Murray SO (2008) Perceptual grouping and inverse fMRI activity patterns in human visual cortex. Journal of Vision, 8(7):2, 1-9, http://journalofvision.org/8/7/2/, doi:10.1167/8.7.2.(pdf)

89 Hegdé J, Fang F, Murray SO & Kersten D (2008) Preferential responses to occluded objects in the human visual cortex. Journal of Vision. 8 (4), 1-16. http://journalofvision.org/8/4/16/ (pdf)

88 Boyaci, H., Fang, F., Murray, S. O., & Kersten, D. (2007). Responses to lightness variations in early human visual cortex. Curr Biol, 17(11), 989-993. (pdf)

Yuille, A., & Kersten, D. (2006). Vision as Bayesian inference: analysis by synthesis? Trends Cogn Sci, 10(7), 301-308. (pub med pdf) (pdf)

86 Murray, S. O., Boyaci, H., & Kersten, D. (2006). The representation of perceived angular size in human primary visual cortex. Nature Neuroscience. Online: 05 February 2006 | doi:10.1038/nn1641

85 Murray, S. O., Olman, C. A., & Kersten, D. (2006). Spatially specific fMRI repetition effects in human visual cortex. Journal of Neurophysiology. (journal link pdf)

84 Battaglia, P. W., Schrater, P., & Kersten, D. (2005). Auxiliary object knowledge influences visually-guided interception behavior. Paper presented at the Symposium on Applied Perception, Graphics and Visualization, A Coruña, Spain. August 26-28. (pdf)

83 Fang, F., Murray, S. O., Kersten, D. J., & He, S. (2005). Orientation-tuned fMRI adaptation in human visual cortex. J Neurophysiol. 94: 4188 - 4195 (journal link pdf)

82 Hartung, B., P. Schrater, H. Bülthoff, D. Kersten and V. Franz (2005): Is prior knowledge of object geometry used in visually guided reaching? Journal of Vision 5(6), 504-514. (pdf)

81 Murray, S. O., Schrater, P., & Kersten, D. (2004). Perceptual grouping and the interactions between visual cortical areas. Neural Netw, 17(5-6), 695-705. (pdf)

80 Olman, C. A., & Kersten, D. (2004). Classification objects, ideal observers & generative models. Cognitive Science, 28, 227-239.(pdf)

79 Yuille, A. L., Fang, F., Schrater, P., & Kersten, D. (2004). Human and Ideal Observers for Detecting Image Curves. In S. Thrun, L. Saul & B. Schoelkopf (Eds.), Advances in Neural Information Processing Systems 16. Cambridge, MA: MIT Press.(pdf)

78 Olman, C., Ugurbil, K., Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Research, 44(7), 669-683. (pdf)

Knill, D. C., & Kersten, D. (2004). Visuomotor sensitivity to visual information about surface orientation. J Neurophysiol, 91(3), 1350-1366. (journal link) (pdf preprint)

76 Kersten, D., Mamassian, P., & Yuille, A. (2004). Object perception as Bayesian Inference. Annual Review of Psychology, 55, 271-304. (Annual Reviews html and pdf link) (local pdf)

75 Liu, Z., & Kersten, D. (2003). Three-dimensional symmetric shapes are discriminated more efficiently than asymmetric ones. J Opt Soc Am A Opt Image Sci Vis, 20(7), 1331-1340. (preprint)

74 Brady, M. J., & Kersten, D. (2003). Bootstrapped learning of novel objects. J Vis, 3(6), 413-422.(pdf) (http://journalofvision.org//3/6/2/) .

73 Kersten, D., & Yuille, A. (2003). Bayesian models of object perception. Current Opinion in Neurobiology, 13(2). (pdf)

72 Naor-Raz, G., Tarr, M. J., & Kersten, D. (2003). Is color an intrinsic property of object representation? Perception, 32(6), 667-680. (pdf)

71Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L. (2002). Shape perception reduces activity in human primary visual cortex. Proc Natl Acad Sci U S A, 99, 15164-15169. (pdf)

70 Kersten, D. (2002) Object perception: Generative Image Models and Bayesian Inference. In Biologically Motivated Computer Vision. Second International Workshop, BMCV 2002, Tübingen, Germany, November, 2002. Proceedings. H.H. Bülthoff, S.-W. Lee, T.A. Poggio, C. Wallraven (Eds.). Lecture Notes in Computer Science 2525. Springer. (pdf)

69 Wilson S. Geisler and Daniel Kersten (2002) Illusions, perception and Bayes.Nature Neuroscience, 5 (6), 508-510. (pdf)

68 Schrater, P. & Kersten, D. (2002). Vision, Psychophysics, and Bayes. In R. P. N. Rao, B. A. Olshausen, & M. S. Lewicki (Ed.), Statistical Theories of the Brain. Cambridge, Massachusetts: MIT Press.(pdf)

67 Schrater P. R., Khuu T., & Kersten D. (unpublished manuscript) Noise Induced Perceptual Completion. (pdf)

66 d'Avossa, G., & Kersten, D. Invariant spatial transformations of the optic flow for heading estimation.

65 Madison, C., Thompson, W., Kersten, D., Shirley, P. & Smits, B. (2001). Use of interreflection and shadow for surface contact. Perception and Psychophysics, 63, 187-194.

64 Schrater, P. R. & Kersten, D. (2000). How optimal depth cue integration depends on the task. International Journal of Computer Vision, 40, 73-91. (draft pdf)

63 Bloj, M., Kersten, D., & Hurlbert, A. C. (1999). 3D Shape Perception Influences Colour Perception via Mutual Illumination. Nature. (pdf).

See too: Gegenfurtner's news & views (pdf).

62 Kersten, D. & Schrater, P. R., (2002). Pattern Inference Theory: A Probabilistic Approach to Vision. In R. Mausfeld, & D. Heyer (Ed.), Perception and the Physical World. Chichester: John Wiley & Sons, Ltd. (Draft pdf) (postscript)

61 Schrater, P. R., & Kersten, D. (1999). Statistical structure and task dependence in visual cue integration. Submitted to: Workshop on Statistical and Computational Theories of Vision -- Modeling, Learning, Computing, and Sampling. Fort Collins, Colorado, June 1999. (pdf)

60 Troje, N. F. and Kersten, D. (1999) Viewpoint dependent recognition of familiar faces. Perception., 28, (4), 483 - 487. (pdf preprint)

59 d'Avossa, G., Yacoub, E., Kersten D., Xioaping, H. Direction dependent occipital and parietal activity during the perception of optic flows simulating eccentric headings. Draft PDF

58 Kersten, D. (1998) Computational Vision: Principles of Perceptual Inference. Notes for Neural Information Processing Tutorial, Denver, CO, December. (Tutorial Notes PDF) (Bibliography) (Yuille, Coughlan, Kersten)

57 Braje, W. L., Legge, G. E. & Kersten, D. (2000). Invariant recognition of natural objects in the presence of shadows. Perception, 29, 383-98. (earlier version: pre-print PDF)

56 Mamassian, P., Knill, D.C. & Kersten, D. (1998) The Perception of Cast Shadows. Trends in Cognitive Sciences. 2 (8), 288-295. (pdf)

55 Kersten, D. High-level vision as statistical inference. (1999) (pdf preprint) The New Cognitive Neurosciences, 2nd Edition, Gazzaniga (Ed.). MIT Press.

54 Braje, W.L., Kersten, D., Tarr, M.J. and Troje, N.F. Illumination effects in face recognition. (1998) Psychobiology. 26 (4), 371-380. (pdf preprint)

53 Liu, Z., Kersten, D. And Knill, D.C. (1999) Stimulus information or internal representation?--a case study in human object recognition. Vision Research. 39, 603-612. (pdf)

52 Liu, Z. and Kersten, D. (1998) 2D Observers in 3D Object Recognition? Vision Research., 38, 2507-2519. (pdf)

51 Liu, Z. and Kersten, D. (1998) 2D Affine Transformations are Unlikely to Account for Human 3D Object Recognition. Proceedings of the International Conference on Computer Vision (ICCV 98).

50 Liu, Z. and Kersten, D. (1998) 2D Observers in 3D Object Recognition? Advances in Neural Information Processing Systems 10. MIT Press, Cambridge, Massachusetts. PDF

49 Thompson, W.B., Shirley, P., Smits, B., Kersten, D. J., Madison, C. (1998) . Visual glue. University of Utah Technical Report UUCS-98-007. (pdf) or http://www.cs.utah.edu/vissim/papers/glue2/glue.pdf

48 Troje, N. F. and Kersten, D. (1998) Viewer-centered recognition of familiar faces. Max Planck Institute for Biological Cybernetics, Technical Report No. 55. Work also appears in Perception (60, above).

47 Kersten, D. (1997) Perceptual categories for spatial layout. The Philosophical Transactions of the Royal Society.B, 352 (1358), 1155-1163. PDF

46 Tarr, M. J., Kersten, D., & Bülthoff, H. H. (1998). Why the visual system might encode the effects of illumination. Vision Research, 38, 2259-2275. (pdf)

45 Knill, D. C., Mamassian, P. & Kersten, D. (1997) The geometry of shadows Journal of the Optical Society of America A. 14 (12), 3216 - 3232.(pdf)

44 Kersten, D. (1997). Inverse 3-D graphics: A metaphor for visual perception. Behavior Research Methods, Instruments, and Computers., 29, 37-46.

43 Kersten, D., Troje, N. F. & Bülthoff, H. H. Phenomenal competition for poses of the human head. Perception, 25 (1996), 367.

42 Kersten, D., Mamassian, P. & Knill, D.C. (1997) Moving cast shadows induce apparent motion in depth. Perception., 26 (2), 171-192 (pdf) (pdf pre-print).

41 Liu, Z., Kersten D. & Knill, D.C. Structural organization improves object discrimination. (Manuscript, see 53 above for journal publication)

40 d'Avossa, G., & Kersten, D. (1996). Evidence in human subjects for independent coding of azimuth and elevation for direction of heading from optic flow. Vision Research, 36 (18), 2915-2924. (pdf)

39 Kersten, D., Knill, D. C., Mamassian, P. and Bülthoff, I. (1996) Illusory motion from shadows. Nature., 279, (6560), 31. (pdf)

38 Mamassian P & Kersten D. (1996) Illumination, shading and the perception of orientation. Vision Research., 36, 2351-2367.

37 Mamassian, P., Kersten, D.; Knill, D. C. Categorical Local Shape Perception. Perception, 25 (1996), 95-107. PDF

36 Knill D. C. , Kersten D. & Mamassian, P. (1996) The Bayesian framework for visual information processing: Implications for Psychophysics. Chap. 6. In: Perception as Bayesian Inference. David C. Knill and Whitman Richards (eds). Cambridge University Press.

35 Knill D.C., Kersten D. and Yuille A. (1996) A Bayesian formulation of visual perception. Chap. 0. In: Perception as Bayesian Inference. David C. Knill and Whitman Richards (eds). Cambridge University Press.

34 Kersten, D. (1996) Veridicality, utility, and completeness in vision modeling: A commentary on "Bayesian Decision Theory and Psychophysics" In: Perception as Bayesian Inference. David C. Knill and Whitman Richards (eds). Cambridge University Press.

33 Kersten, D. (1996) Commentary on: Pattern Theory: A Unifying Perspective. In: Perception as Bayesian Inference. David C. Knill and Whitman Richards (eds). Cambridge University Press.

32 Tjan B., Braje, W., Legge, G.E. & Kersten, D. (1995) Human efficiency for recognizing 3-D objects in luminance noise.Vision Research, 35, 3053-3069.

31 Mamassian P., Bülthoff H.H. & Kersten D. (1995) Eye-hand coordination for 3-D oriented objects. Max Planck Institute for Biological Cybernetics, Technical Report 12. http://mpik-tueb.mpg.de:4711/projects/TechReport/list.html

30 Kersten, D. & Madarasmi, S. (1995) The Visual Perception of Surfaces, their Properties, and Relationships. In Partitioning Data Sets: With applications to psychology, vision and TARGET tracking, Edited by I. J. Cox, P. Hansen and B. Julesz, AMS.

29 Liu, Z., Knill, D. C., & Kersten, D. (1995). Object Classification for Human and Ideal Observers.Vision Research, 35, 549-568. (pdf)

28 Kersten D., Mamassian P., Knill D.C. (1994) Moving cast shadows and the perception of relative depth. Max Planck Institute for Biological Cybernetics, Technical Report 6. (pdf)

Madarasmi, S., Pong, T.-C., & Kersten, D. (1994). Illusory contour detection using MRF models (Vol. 7, pp. 4343–4348). Presented at the Neural Networks, 1994. IEEE World Congress on Computational Intelligenc., IEEE.(pdf)

27 Madarasmi S., Pong T.C. & Kersten D. (1993) An energy minimization approach to surface segmentation using a multi-layer representation. Army High Performance Computing Research Center, Preprint 93-083.
(URL: http://www.arc.umn.edu/publications/preprints/abstracts93.html#93-083)

26 Knill, D. C., Mamassian, P. & Kersten, D. (1993) The geometry of shadows. University of Minnesota. Computer and Information Sciences, TR 93-47.

25 Madarasmi S., Kersten, D., & Pong, T.C. (1993) Multi-layer surface segmentation using energy minimization. IEEE Computer Vision & Pattern Recognition. 774-775. (abstract) (pdf)

24 Madarasmi, S., Kersten, D., & Pong, T. C. (1993). The computation of stereo disparity for transparent and for opaque surfaces. In C. L. Giles, S. J. Hanson, & J. D. Cowan (Ed.), Advances in Neural Information Processing Systems 5. San Mateo, CA: Morgan Kaufmann Publishers. pp. 385-392.

23 Madarasmi, S., Kersten, D., & Pong, T. C. (1993). The computation of stereo disparity for transparent and for opaque surfaces. Army High Performance Computing Research Center, Preprint 93-084. (URL: http://www.arc.umn.edu/publications/preprints/abstracts93.html#93-084)

22 Kersten, D., Bülthoff, H. H., Schwartz, B., & Kurtz, K. (1992) Interaction between transparency and structure from motion. Neural Computation, 4, 573-589. (pdf)

21 O'Toole A. J. and Kersten, D. (1992) Learning to see random-dot stereograms. Perception, 21, 227-243. (pdf)

20 Thompson, W. B., Kersten, D., & Knecht, W. R. (1992) Structure-from-motion based on information at surface boundaries. Biological Cybernetics, 66, 327-333.

19 Levin, S. A., Guckenheimer, J., Kersten, D., Kingsbury, D. T., Mangel, M., Reed, M., & Silk, W. (Eds.) (1992). Mathematics and Biology: The Interface, Challenges, and Opportunities. Berkeley, California: Lawrence Berkeley Laboratory.

18 Kersten, D. (1991) Transparency and the cooperative computation of scene attributes. Computational Models of Visual Processing, M.I.T. Press, Landy M and Movshon A., Eds..

17 Kersten, D. and Bülthoff, H. (1991) Transparency affects perception of structure from motion. Massachusetts Institute of Technology, Center for Biological Information Processing Tech. Memo, 36.

16 Knill, D.C. and Kersten, D. (1991) Ideal Perceptual Observers for Computation, Ps>chophysics, and Neural Networks. Vision and Visual Dysfunction, Cronly-Dillon, Gen. Editor, Vol. 14, Roger Watt Editor, MacMillan Press.

15 Knill, D. C., & Kersten, D. (1991) Apparent surface curvature affects lightness perception. Nature, 351, 228-229. (pdf 1.1Mb)

14 Knill D.C., Field, D. and Kersten, D. (1990) Human discrimination of fractal images. Journal of the Optical Society of America, A, 7, 1113-1123.(pdf)

13 Knill, D. C. and Kersten, D. (1990) Learning a near-optimal estimator for surface shape from shading. Computer Vision, Graphics and Image Processing, 50, 75-100. (pdf)

12 Kersten, D. Statistical limits to image understanding. (1990) Vision: Coding and Efficiency, (Blakemore, C. ed.), Cambridge University Press, chapter 3, pp. 32-44.

11 Sereno M.E., Kersten D. and Anderson J. A. (1989) A neural network model of an aspect of motion perception. Science at the John von Neumann National Supercomputer Center: Annual Research Report--1988, pp. 165-170

10 Kersten, D., Hess, R.F. and Plant, G.T. (1988) Assessing contrast sensitivity behind cloudy media. Clinical Vision Sciences, 2, 143-158. (pdf)

9 Kersten, D., O'Toole A., Sereno, M., Knill D., Anderson, J.A. (1987) Associative learning of scene parameters from images. Applied Optics, 26, 4999-5006. (pdf)

8 Kersten, D. Predictability and redundancy of natural images. (1987) Journal of the Optical Society of America A, 4, 2395-2400. Reprinted in: Image Compression, Rabbani, M. (Ed.), SPIE-The International Society for Optical Engineering. 1992. (pdf)

7 Legge, G.E. & Kersten, D. (1987) Contrast discrimination in peripheral vision. Journal of the Optical Society of America A, 4, 1594-1598.

6 Legge, G.E., Kersten, D. and Burgess, A.E. (1987) Contrast discrimination in noise. Journal of the Optical Society of America A, 4, 391-404.

5 Kersten, D. Statistical efficiency for the detection of visual noise. (1987) Vision Research, 27, 1029-1040. (pdf)

4 Kersten, D. Spatial summation in visual noise. (1984) Vision Research, 24, 1977-1990. (pdf)

3 Burkhardt, D.A., Gottesman, J., Kersten, D. and Legge, G.E. (1984) Symmetry and constancy in the perception of negative and positive luminance contrast. Journal of the Optical Society of America A, 1, 309-316.

2 Legge, G.E. and Kersten, D. (1983) Light and dark bars: contrast discrimination. Vision Research, 5, 473-483.

1 Kersten, D. and Legge, G.E. (1983) Convergence accommodation. Journal of the Optical Society of America, 73, 332-338. (pdf)

0 Kersten, D. (1983) A Comparison of Human and Ideal Performance for the Detection of Visual Pattern. Ph.D. Thesis, University of Minnesota. Minneapolis, Minnesota. Introduction (pdf, 560K), Chapter 3: Spatial Frequency Summation in Visual Noise (pdf, 2.5M), Chapter 4 Aspects of Phase in Visual Detection (pdf, 3.6M).