Publications#
Bratch, A., Chen, Y., Engel, S. A., & Kersten, D. J. (2021). Visual adaptation selective for individual limbs reveals hierarchical human body representation. Journal of Vision, 21(5), 18–18. https://doi.org/10.1167/jov.21.5.18
Liu, S., Liu, Y., Kersten, D. J., Shakespeare, R. A., Thompson, W. B., & Legge, G. E. (2021). Validating a model of architectural hazard visibility with low-vision observers. PloS One, 16(11), e0260267. https://doi.org/10.1371/journal.pone.0260267
Thompson, W. B., Shakespeare, R. A., Liu, S., Creem-Regehr, S. H., Kersten, D. J., & Legge, G. E. (2021). Evaluating the visibility of architectural features for people with low vision–a quantitative approach. Leukos, 1–19. https://doi.org/10.1080/15502724.2021.1890115
Zhu, H., Yuille, A., & Kersten, D. (2021). Three-dimensional pose discrimination in natural images of humans. Proceedings of the annual meeting of the cognitive science society, 43. https://escholarship.org/uc/item/0ns293tt
Vizioli, L., De Martino, F., Petro, L. S., Kersten, D., Ugurbil, K., Yacoub, E., & Muckli, L. (2020). Multivoxel pattern of blood oxygen level dependent activity can be sensitive to stimulus specific fine scale responses. Scientific Reports, 10(1), 1–18. https://doi.org/doi.org/10.1167/jov.21.5.18
Vizioli, L., De Martino, F., Petro, L. S., Kersten, D., Ugurbil, K., Yacoub, E., & Muckli, L. (2019). Multivoxel pattern of blood oxygen level dependent activity can be sensitive to stimulus specific fine scale responses. bioRxiv. https://doi.org/10.1101/798306
Peterson, L. M., Kersten, D. J., & Mannion, D. J. (2018). Surface curvature from kinetic depth can affect lightness. Journal of Experimental Psychology: Human Perception and Performance, 44(12), 1856. https://doi.org/10.1037/xhp0000575
Morgenstern, Y., & Kersten, D. J. (2017). The perceptual dimensions of natural dynamic flow. Journal of Vision, 17(12), 7–7. https://doi.org/10.1167/17.12.7
Thompson, W. B., Legge, G. E., Kersten, D. J., Shakespeare, R. A., & Lei, Q. (2017). Simulating visibility under reduced acuity and contrast sensitivity. JOSA A, 34(4), 583–593. https://doi.org/10.1364/josaa.34.000583
Fan, X., Wang, L., Shao, H., Kersten, D., & He, S. (2016). Temporally flexible feedback signal to foveal cortex for peripheral object recognition. Proceedings of the National Academy of Sciences, 113(41), 11627–11632. https://doi.org/10.1073/pnas.1606137113
Kersten, Daniel, & Mamassian, P. (2016). Cast shadow illusions. In A. G. Shapiro & D. Todorovic (Eds.), The oxford compendium of visual illusions (pp. 214–220). https://doi.org/10.1093/acprof:oso/9780199794607.003.0020 https://kerstenlab.psych.umn.edu/fulltext/Kersten2016.pdf
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), 19–19. https://doi.org/10.1167/16.8.19
Yuille, A., & Kersten, D. (2016). Early vision. In M. A. Arbib & J. J. Bonaiuto (Eds.), From neuron to cognition via computational neuroscience (pp. 345–408). https://kerstenlab.psych.umn.edu/fulltext/Yuille2016.pdf
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), 5–5. https://doi.org/10.1167/15.10.5
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, 579. https://doi.org/10.3389/fnhum.2015.00579
Mannion, D. J., Kersten, D. J., & Olman, C. A. (2015). Scene coherence can affect the local response to natural images in human V1. European Journal of Neuroscience, 42(11), 2895–2903. https://doi.org/10.1111/ejn.13082
Akin, B., Ozdem, C., Eroglu, S., Keskin, D. T., Fang, F., Doerschner, K., … Boyaci, H. (2014). Attention modulates neuronal correlates of interhemispheric integration and global motion perception. Journal of Vision, 14(12), 30–30. https://doi.org/10.1167/14.12.30
Kersten, Daniel, & Yuille, A. (2014a). Inferential models of the visual cortical hierarchy. In M. S. Gazzaniga & G. R. Mangun (Eds.), The cognitive neurosciences (Fifth Edition, pp. 398–404). https://kerstenlab.psych.umn.edu/fulltext/KerstenYuilleNewCogNeuro2014.pdf
Kersten, Daniel, & Yuille, A. (2014b). Vision: Bayesian inference and beyond. In J. S. Werner & L. M. Chalupa (Eds.), The new visual neurosciences (pp. 1263–1278). https://kerstenlab.psych.umn.edu/fulltext/Kersten2014a.pdf
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, 26(8), 1764–1774. https://doi.org/10.1162/jocn_a_00588
Kersten, Daniel, Shakespeare, R., & Thompson, W. (2013). Predicting visibility in designs of public spaces. University of Utah Technical Reports, UUCS 13-001. https://www.cs.utah.edu/docs/techreports/2013/pdf/UUCS-13-001.pdf
Mannion, D. J., Kersten, D., & Olman, C. A. (2013). Consequences of polar form coherence for fMRI responses in human visual cortex. NeuroImage, 78, 152–158. https://doi.org/10.1016/j.neuroimage.2013.04.036
McMenamin, B. W., Radue, J., Trask, J., Huskamp, K., Kersten, D., & Marsolek, C. J. (2013). The diagnosticity of color for emotional objects. Motivation and Emotion, 37(3), 609–622. https://doi.org/10.1007/s11031-012-9319-0
Qiu, C., Kersten, D., & Olman, C. A. (2013). Segmentation decreases the magnitude of the tilt illusion. Journal of Vision, 13(13), 19–19. https://doi.org/10.1167/13.13.19
Hauffen, K., Bart, E., Brady, M., Kersten, D., & Hegdé, J. (2012). Creating objects and object categories for studying perception and perceptual learning. JoVE (Journal of Visualized Experiments), (69), e3358. https://doi.org/10.3791/3358
He, D., Kersten, D., & Fang, F. (2012). Opposite modulation of high-and low-level visual aftereffects by perceptual grouping. Current Biology, 22(11), 1040–1045. https://doi.org/10.1016/j.cub.2012.04.026
Hegdé, J., Thompson, S. K., Brady, M., & Kersten, D. (2012). Object recognition in clutter: Cortical responses depend on the type of learning. Frontiers in Human Neuroscience, 6, 170. https://doi.org/10.3389/fnhum.2012.00170
Battaglia, P. W., Kersten, D., & Schrater, P. R. (2011a). How haptic size sensations improve distance perception. PLoS Computational Biology, 7(6). https://doi.org/10.1371/journal.pcbi.1002080
Battaglia, P. W., Kersten, D., & Schrater, P. R. (2011b). The role of generative knowledge in object perception. 46–62. https://doi.org/10.1093/acprof:oso/9780195387247.003.0003
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. https://doi.org/10.1016/j.cub.2011.10.036
Doerschner, K., Kersten, D., & Schrater, P. R. (2011). Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognition, 44(9), 1874–1884. https://doi.org/10.1016/j.patcog.2010.09.007
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 Computational Biology, 6(3). https://doi.org/10.1371/journal.pcbi.1000697
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), 4–4. https://doi.org/10.1167/10.9.4
Green, C., 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. https://doi.org/10.1073/pnas.1001709107
Hegdé, J., & Kersten, D. (2010). A link between visual disambiguation and visual memory. Journal of Neuroscience, 30(45), 15124–15133. https://doi.org/10.1523/jneurosci.4415-09.2010
Kersten, Daniel, & Murray, S. O. (2010). Vision: When does looking bigger mean seeing better? Current Biology, 20(9), R398–R399. https://doi.org/10.1016/j.cub.2010.03.021
Doerschner, K., Kersten, D., & Schrater, P. (2009). Rapid classification of surface reflectance from image velocities. International conference on computer analysis of images and patterns, 856–864. https://doi.org/10.1007/978-3-642-03767-2_104
Fang, F., Boyaci, H., & Kersten, D. (2009). Border ownership selectivity in human early visual cortex and its modulation by attention. Journal of Neuroscience, 29(2), 460–465. https://doi.org/10.1523/jneurosci.4628-08.2009
Gold, J. M., Abbey, C., Tjan, B. S., & Kersten, D. (2009). Ideal observers and efficiency: Commemorating 50 years of tanner and birdsall: introduction. JOSA A, 26(11), IO1–IO2. https://doi.org/10.1364/josaa.26.000io1
Kersten, Daniel, & Mamassian, P. (2009). Ideal observer theory. In L. R. Squire, N. Dronkers, & J. Baldo (Eds.), Encyclopedia of neuroscience (pp. 89–95). https://doi.org/10.1016/b978-008045046-9.01435-2 https://kerstenlab.psych.umn.edu/fulltext/Kersten2009.pdf
Fang, F., Boyaci, H., Kersten, D., & Murray, S. O. (2008). Attention-dependent representation of a size illusion in human V1. Current Biology, 18(21), 1707–1712. https://doi.org/10.1016/j.cub.2008.09.025
Fang, F., Kersten, D., & Murray, S. O. (2008). Perceptual grouping and inverse fMRI activity patterns in human visual cortex. Journal of Vision, 8(7), 2–2. https://doi.org/10.1167/8.7.2
Hegdé, J., Bart, E., & Kersten, D. (2008). Fragment-based learning of visual object categories. Current Biology, 18(8), 597–601. https://doi.org/10.1016/j.cub.2008.03.058
Hegdé, J., Fang, F., Murray, S. O., & Kersten, D. (2008). Preferential responses to occluded objects in the human visual cortex. Journal of Vision, 8(4), 16–16. https://doi.org/10.1167/8.4.16
Boyaci, H., Fang, F., Murray, S. O., & Kersten, D. (2007). Responses to lightness variations in early human visual cortex. Current Biology, 17(11), 989–993. https://doi.org/10.1016/j.cub.2007.05.005
Murray, S. O., Boyaci, H., & Kersten, D. (2006). The representation of perceived angular size in human primary visual cortex. Nature Neuroscience, 9(3), 429–434. https://doi.org/10.1038/nn1641
Murray, S. O., Olman, C. A., & Kersten, D. (2006). Spatially specific fMRI repetition effects in human visual cortex. Journal of Neurophysiology, 95(4), 2439–2445. https://doi.org/10.1152/jn.01236.2005
Yuille, A., & Kersten, D. (2006). Vision as bayesian inference: Analysis by synthesis? Trends in Cognitive Sciences, 10(7), 301–308. https://doi.org/10.1016/j.tics.2006.05.002
Battaglia, P. W., Schrater, P. R., & Kersten, D. (2005). Auxiliary object knowledge influences visually-guided interception behavior. Proceedings of the 2nd symposium on applied perception in graphics and visualization, 145–152. https://doi.org/10.1145/1080402.1080430
Fang, F., Murray, S. O., Kersten, D., & He, S. (2005). Orientation-tuned fMRI adaptation in human visual cortex. Journal of Neurophysiology, 94(6), 4188–4195. https://doi.org/10.1152/jn.00378.2005
Hartung, B., Schrater, P. R., Bülthoff, H. H., Kersten, D., & Franz, V. H. (2005). Is prior knowledge of object geometry used in visually guided reaching? Journal of Vision, 5(6), 2–2. https://doi.org/10.1167/5.6.2
Fang, F., Kersten, D., Schrater, P. R., & Yuille, A. L. (2004). Human and ideal observers for detecting image curves. Advances in neural information processing systems, 1459–1466. https://kerstenlab.psych.umn.edu/fulltext/Fang2004.pdf
Kersten, Daniel, Mamassian, P., & Yuille, A. (2004). Object perception as bayesian inference. Annu. Rev. Psychol., 55, 271–304. https://doi.org/10.1146/annurev.psych.55.090902.142005
Knill, David C., & Kersten, D. (2004). Visuomotor sensitivity to visual information about surface orientation. Journal of Neurophysiology, 91(3), 1350–1366. https://doi.org/10.1152/jn.00184.2003 https://journals.physiology.org/doi/full/10.1152/jn.00184.2003
Murray, S. O., Schrater, P., & Kersten, D. (2004). Perceptual grouping and the interactions between visual cortical areas. Neural Networks, 17(5-6), 695–705. https://doi.org/10.1016/j.neunet.2004.03.010
Olman, C. A., Ugurbil, K., Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Research, 44(7), 669–683. https://doi.org/10.1016/j.visres.2003.10.022
Olman, C., & Kersten, D. (2004). Classification objects, ideal observers & generative models. Cognitive Science, 28(2), 227–239. https://doi.org/10.1207/s15516709cog2802_5
Brady, M. J., & Kersten, D. (2003). Bootstrapped learning of novel objects. Journal of Vision, 3(6), 2–2. https://doi.org/10.1167/3.6.2
Kersten, Daniel, & Yuille, A. (2003). Bayesian models of object perception. Current Opinion in Neurobiology, 13(2), 150–158. https://doi.org/10.1016/s0959-4388(03)00042-4
Liu, Zili, & Kersten, D. (2003). Three-dimensional symmetric shapes are discriminated more efficiently than asymmetric ones. JOSA A, 20(7), 1331–1340. https://doi.org/10.1364/josaa.20.001331
Naor-Raz, G., Tarr, M. J., & Kersten, D. (2003). Is color an intrinsic property of object representation? Perception, 32(6), 667–680. https://doi.org/10.1068/p5050
Geisler, W. S., & Kersten, D. (2002). Illusions, perception and bayes. Nature Neuroscience, 5(6), 508. https://doi.org/10.1038/nn0602-508
Kersten, Daniel. (2002). Object perception: Generative image models and bayesian inference. International workshop on biologically motivated computer vision, 207–218. https://doi.org/10.1007/3-540-36181-2_21 https://kerstenlab.psych.umn.edu/fulltext/Kersten2002.pdf
Kersten, Daniel, & Schrater, P. (2002). Pattern inference theory: A probabilistic approach to vision. In D. Heyer & R. Mausfeld (Eds.), Perception and the physical world: Psychological and philosophical issues in perception. https://doi.org/10.1002/0470013427.ch7 https://kerstenlab.psych.umn.edu/fulltext/KerstenSchrater2005.pdf
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, 99(23), 15164–15169. https://doi.org/10.1073/pnas.192579399
Schrater, P., & Kersten, D. (2002). Vision, psychophysics and bayes. In R. P. Rao, B. A. Olshausen, & M. S. Lewicki (Eds.), Probabilistic models of the brain: Perception and neural function (pp. 37–60). https://kerstenlab.psych.umn.edu/fulltext/SchraterKersten2001.pdf
Madison, C., Thompson, W., Kersten, D., Shirley, P., & Smits, B. (2001). Use of interreflection and shadow for surface contact. Perception & Psychophysics, 63(2), 187–194. https://doi.org/10.3758/bf03194461
Braje, W. L., Legge, G. E., & Kersten, D. (2000). Invariant recognition of natural objects in the presence of shadows. Perception, 29(4), 383–398. https://doi.org/10.1068/p3051
Kersten, Daniel. (2000). High-level vision as statistical inference. In M. Gazzaniga (Ed.), The new cognitive neurosciences (Second Edition, pp. 353–364). https://kerstenlab.psych.umn.edu/fulltext/Kersten2000.pdf
Schrater, P. R., & Kersten, D. (2000). How optimal depth cue integration depends on the task. International Journal of Computer Vision, 40(1), 71–89. https://doi.org/10.1023/A:1026557704054
Bloj, M., Kersten, D., & Hurlbert, A. (1999). 3D shape perception influences colour perception via mutual illumination. Nature, 402, 877–879. https://doi.org/10.1038/47245
Liu, Zili, Kersten, D., & Knill, D. C. (1999). Dissociating stimulus information from internal representation—a case study in object recognition. Vision Research, 39(3), 603–612. https://doi.org/10.1016/s0042-6989(98)00167-9
Schrater, P. R., & Kersten, D. (1999). Statistical structure and task dependence in visual cue integration. Workshop on statistical and computational theories of vision–modeling, learning, computing, and sampling, fort collins, colorado. https://kerstenlab.psych.umn.edu/fulltext/Schrater1999.pdf
Troje, N. F., & Kersten, D. (1999). Viewpoint-dependent recognition of familiar faces. Perception, 28(4), 483–487. https://doi.org/10.1068/p2901
Braje, W. L., Kersten, D., Tarr, M. J., & Troje, N. F. (1998). Illumination effects in face recognition. Psychobiology, 26(4), 371–380. https://doi.org/10.3758/BF03330623
Liu, Z., & Kersten, D. (1998). 2D affine transformations cannot account for human 3D object recognition. Sixth international conference on computer vision (IEEE cat. no.98CH36271), 549–554. https://doi.org/10.1109/ICCV.1998.710770 https://kerstenlab.psych.umn.edu/fulltext/LiuKersten1998.pdf
Mamassian, P., Knill, D. C., & Kersten, D. (1998). The perception of cast shadows. Trends in Cognitive Sciences, 2(8), 288–295. https://doi.org/10.1016/s1364-6613(98)01204-2
Tarr, M. J., Kersten, D., & Bülthoff, H. H. (1998). Why the visual recognition system might encode the effects of illumination. Vision Research, 38(15-16), 2259–2275. https://doi.org/10.1016/s0042-6989(98)00041-8
Thompson, W. B., Shirley, P., Smits, B., Kersten, D. J., & Madison, C. (1998). Visual glue. In University of Utah Technical Reports: Vol. UUCS-98-007. https://kerstenlab.psych.umn.edu/fulltext/Thompson1998.pdf
Troje, N. F., & Kersten, D. (1998). Viewer-centered recognition of familiar faces. http://hdl.handle.net/11858/00-001M-0000-0013-E8F9-6
Kersten, Daniel. (1997a). Inverse 3-d graphics: A metaphor for visual perception. Behavior Research Methods, Instruments, & Computers, 29(1), 37–46. https://doi.org/10.3758/bf03200564
Kersten, Daniel. (1997b). Perceptual categories for spatial layout. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 352(1358), 1155–1163. https://doi.org/10.1098/rstb.1997.0099
Kersten, Daniel, Mamassian, P., & Knill, D. C. (1997). Moving cast shadows induce apparent motion in depth. Perception, 26(2), 171–192. https://doi.org/10.1068/p260171
Knill, David C., Mamassian, P., & Kersten, D. (1997). Geometry of shadows. JOSA A, 14(12), 3216–3232. https://doi.org/10.1364/josaa.14.003216
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. https://doi.org/10.1016/0042-6989(96)00010-7
Kersten, Daniel. (1996). Commentary on: Pattern theory: A unifying perspective. 213–236.
Kersten, Daniel, Knill, D. C., Mamassian, P., & Bülthoff, I. (1996). Illusory motion from shadows. Nature, 379(6560), 31. https://doi.org/10.1038/379031a0
Kersten, Daniel, Troje, N. F., & Bülthoff, H. H. (1996). Phenomenal competition for poses of the human head. Perception, 25(3), 367–368. https://doi.org/10.1068/p250367
Knill, David C., Kersten, D., & Yuille, A. (1996). Introduction: A bayesian formulation of visual perception. In David C. Knill & W. Richards (Eds.), Perception as bayesian inference (pp. 1–21). https://doi.org/10.1017/CBO9780511984037.002 https://kerstenlab.psych.umn.edu/fulltext/Knill1996.pdf
Knill, D., Kersten, D., & Mamassian, P. (1996). The bayesian framework for visual information processing: Implications for psychophysics. 239–286. https://doi.org/10.1017/CBO9780511984037.009
Mamassian, P., & Kersten, D. (1996). Illumination, shading and the perception of local orientation. Vision Research, 36(15), 2351–2367. https://doi.org/10.1016/0042-6989(95)00286-3
Mamassian, P., Kersten, D., & Knill, D. C. (1996). Categorical local-shape perception. Perception, 25(1), 95–107. https://doi.org/10.1068/p250095
Liu, Zili, Knill, D. C., & Kersten, D. (1995). Object classification for human and ideal observers. Vision Research, 35(4), 549–568. https://doi.org/10.1016/0042-6989(94)00150-k
Mamassian, P., Bülthoff, H., & Kersten, D. (1995). Eye-hand coordination for 3-d oriented objects. https://kerstenlab.psych.umn.edu/fulltext/Mamassian1995.pdf
Tjan, B. S., Braje, W. L., Legge, G. E., & Kersten, D. (1995). Human efficiency for recognizing 3-d objects in luminance noise. Vision Research, 35(21), 3053–3069. https://doi.org/10.1016/0042-6989(95)00070-g
Kersten, Daniel, Mamassian, P., & Knill, D. C. (1994). Moving cast shadows and the perception of relative depth.
Madarasmi, S., Pong, T.-C., & Kersten, D. (1994). Illusory contour detection using MRF models. Proceedings of 1994 IEEE international conference on neural networks (ICNN94), 7, 4343–4348 vol.7. https://doi.org/10.1109/icnn.1994.374966 https://kerstenlab.psych.umn.edu/fulltext/Madarasmi1994.pdf
Kersten, D. J., & Madarasmi, S. (1993). The visual perception of surfaces, their properties and relationships. Partitioning data sets, 373–390.
Madarasmi, Suthep, Kersten, D., & Pong, T.-C. (1993a). Multi-layer surface segmentation using energy minimization. Proceedings of IEEE conference on computer vision and pattern recognition, 774–775.MadarasmiKerstenPong1993.pdf
Madarasmi, Suthep, Kersten, D., & Pong, T.-C. (1993b). The computation of stereo disparity for transparent and for opaque surfaces. Advances in neural information processing systems, 385–392. https://kerstenlab.psych.umn.edu/fulltext/MadarasmiKerstenComputationStereoTransparency1993.pdf
Kersten, Daniel, Bülthoff, H. H., Schwartz, B. L., & Kurtz, K. J. (1992). Interaction between transparency and structure from motion. Neural Computation, 4(4), 573–589. https://doi.org/10.1162/neco.1992.4.4.573
O’toole, A. J., & Kersten, D. J. (1992). Learning to see random-dot stereograms. Perception, 21(2), 227–243. https://doi.org/10.1068/p210227
Thompson, W. B., Kersten, D., & Knecht, W. R. (1992). Structure-from-motion based on information at surface boundaries. Biological Cybernetics, 66(4), 327–333. https://doi.org/10.1007/bf00203669
Kersten, Daniel. (1991). Transparency and the cooperative computation of scene attributes. https://kerstenlab.psych.umn.edu/fulltext/Kersten1991.pdf
Knill, David C., & Kersten, D. (1991a). Apparent surface curvature affects lightness perception. Nature, 351(6323), 228–230. https://doi.org/10.1038/351228a0
Knill, David C., & Kersten, D. (1991b). Ideal perceptual observers for computation, psychophysics and neural networks. In Pattern Recognition by Man and Machine, ed. RJ Watt. London: McMillan. https://kerstenlab.psych.umn.edu/fulltext/KnillKersten1991.pdf
Kersten, Daniel. (1990). Statistical limits to image understanding. 32–44. https://doi.org/10.1017/cbo9780511626197.005
Knill, David C., Field, D., & Kersten, D. (1990). Human discrimination of fractal images. JOSA A, 7(6), 1113–1123. https://doi.org/10.1364/josaa.7.001113
Knill, David C., & Kersten, D. (1990). Learning a near-optimal estimator for surface shape from shading. Computer Vision, Graphics, and Image Processing, 50(1), 75–100. https://doi.org/10.1016/0734-189x(90)90068-7
Kersten, D., Hess, R., & Plant, G. (1988). Assessing contrast sensitivity behind cloudy media. Clinical Vision Sciences, 2(3), 143–158. https://kerstenlab.psych.umn.edu/fulltext/Kersten1988.pdf
Sereno, M., Kersten, D., & Anderson, J. A. (1988). A neural network model of an aspect of motion perception. Science at the John von Neumann National Supercomputer Center, 173–178.
Kersten, Daniel. (1987a). Predictability and redundancy of natural images. JOSA A, 4(12), 2395–2400. https://doi.org/10.1364/josaa.4.002395
Kersten, Daniel. (1987b). Statistical efficiency for the detection of visual noise. Vision Research, 27(6), 1029–1040. https://doi.org/10.1016/0042-6989(87)90016-2
Kersten, Daniel, O’toole, A. J., Sereno, M. E., Knill, D. C., & Anderson, J. A. (1987). Associative learning of scene parameters from images. Applied Optics, 26(23), 4999–5006. https://doi.org/10.1364/ao.26.004999
Legge, G. E., Kersten, D., & Burgess, A. E. (1987). Contrast discrimination in noise. JOSA A, 4(2), 391–404. https://doi.org/10.1364/josaa.4.000391
Burkhardt, D. A., Gottesman, J., Kersten, D., & Legge, G. E. (1984). Symmetry and constancy in the perception of negative and positive luminance contrast. JOSA A, 1(3), 309–316. https://doi.org/10.1364/josaa.1.000309
Kersten, Daniel. (1984). Spatial summation in visual noise. Vision Research, 24(12), 1977–1990. https://doi.org/10.1016/0042-6989(84)90033-6
Kersten, Daniel. (1983). A comparison of human and ideal performance for the detection of visual pattern (PhD thesis).
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