Perception & Action Lab

Publications

Books Edited

Articles and book chapters

  1. Dieter, K. C., Hu, B., Knill, D. C., Blake, R. and Tadin, D. (2013) Kinesthesis can make an invisible hand visible, Psychological Science. PDF
  2. Kwon, O. S. and Knill, D. C. (2013) The brain uses adaptive internal models of scene statistics for sensorimotor estimation and planning, Proceedings of the National Academy of Sciences, 110(11): E1064-73. PDF Supplement
  3. Sims, C. R., Jacobs, R. A. and Knill, D. C. (2012) An ideal observer analysis of visual working memory, Psychological Review, 119(4): 807-30. PDF
  4. Issen, L. A. and Knill, D. C. (2012) Decoupling eye and hand movement control: Visual short-term memory influences reach planning more than saccade planning, Journal of Vision, 12(1):3; 1-12. PDF
  5. Landy, M. S., Banks, M. and Knill, D. C. (2011) Ideal-Observer Models of Cue Integration, in (Trommershauser, J. Kording, K., and Landy, M. S. eds.) Sensory Cue Integration, Osford Univ. Press, Oxford, England.
  6. Seydell, A., Knill, D. C. and Trommershauser, J. (2011) Priors and Learning in Cue Integration, in (Trommershauser, J. Kording, K., and Landy, M. S. eds.) Sensory Cue Integration, Osford Univ. Press, Oxford, England.
  7. Michel, M., Brouwer, A. Jacobs, R. and Knill, D. C. (2011) Optimality Principles Apply to a Broad Range of Information Integration Problems in Perception and Action, in (Trommershauser, J. Kording, K., and Landy, M. S. eds.) Sensory Cue Integration, Osford Univ. Press, Oxford, England.
  8. Moreno-Bote, R., Knill, D. C. and Pouget, A. (2011) Bayesian sampling in visual perception, Proceedings of the National Academy of Sciences, 108(30):12491-6. PDF
  9. Hu, B. and Knill, D. C. (2011) Binocular and monocular depth cues in online feedback control of 3-D pointing movements, Journal of Vision, 7(11)23: 1 – 13. PDF
  10. Bejjanki, V. R., Clayards, M., Knill, D. C. and Aslin, R. N. (2011) Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception, PLoS one, 6(5): e19812. doi:10.1371/journal.pone.0019812 PDF
  11. Knill, D. C., Bondada, A. and Chhabra, Manu (2011) Flexible, task-dependent use of sensory feedback to control hand movements, Journal of Neuroscience, 31(4): 1219-1237. PDF
  12. Sims, C. R., Jacobs, R. A. and Knill, D. C. (2011) Adaptive allocation of vision under competing task demands, The Journal of Neuroscience, 31(3): 928-943. PDF
  13. Hu, B. and Knill, D. C. (2010) Kinesthetic information disambiguates visual motion signals, Current Biology, 20 (20), 20, R436-R437. PDF Supplement
  14. Seydell, A., Knill, D. C. and Trommershauser, J. (2010) Adapting internal statistical models for interpreting visual cues to depth, Journal of Vision. 10 (4), Article 1. PDF
  15. Greenwald, H. and Knill, D. C. (2009) Cue Integration Outside Central Fixation: A Study of Grasping in Depth, Journal of Vision, Vol. 9, No. 2, 1 - 16. PDF
  16. Greenwald, H. and Knill, D. C. (2009) Orientation Disparity: A Cue for 3D Orientation, Neural Computation, Vol. 21, No. 9, Pages 2581-2604. PDF
  17. Brouwer, A. and Knill, D. C. (2009) Humans use visual and remembered information about object location to plan pointing movements Journal of Vision, 9 (1), 1 – 19. PDF
  18. Greenwald, H. and Knill, D. C. (2008) A Comparison of Visuomotor Cue Integration Strategies for Object Placement and Prehension, Visual Neuroscience, Aug., 1 - 10. PDF
  19. Seydell, A., McCann, B. C., Trommershauser, J. and Knill, D. C. (2008) Learning stochastic reward distributions in a speeded pointing task, Journal of Neuroscience, 28: 4356-4367. PDF
  20. Knill, D. C. (2007) Robust cue integration: a Bayesian model and evidence from psychophysical studies with stereoscopic and figure cues to slant, Journal of Vision, 7 (7), 1 – 24. PDF
  21. Knill, D. C. (2007) Learning Bayesian priors for depth perception, Journal of Vision, 7 (8), 1 – 20. PDF
  22. Brouwer, A. and Knill, D. C. (2007) The role of memory in visually guided reaching, Journal of Vision, 7 (5), 1-12. PDF
  23. Knill, D. C. (2007) Bayesian models of sensory cue integration, in (Doya, K., Ishii, S., Pouget, A. and Rao, R., eds.) Bayesian Brain: Probabilistic Approaches to Neural Coding, MIT Press, Cambridge, MA. PDF
  24. Saunders, J and Knill, D. C. (2005) Humans use continuous visual feedback from the hand to control both the direction and distance of pointing movements, Exp. Brain Research, 162 (4), 458-73. PDF
  25. Greenwald, H., Knill, D. C. and Saunders, J. (2005) Integrating depth cues for visuomotor control: A matter of time, Vision Research, 45 (15), 1975 - 1989. PDF
  26. Knill, D. C. (2005) Reaching for visual cues to depth: The brain combines depth cues differently for motor control and perception, Journal of Vision, 5 (2), 103-115. PDF
  27. Knill, D. C. and Pouget, A. (2004) The Bayesian brain: The role of uncertainty in neural coding and computation, 27 (12), 712 – 719, Trends in Neuroscience. PDF
  28. Saunders, J and Knill, D. C. (2004) Visual feedback control of hand movements, J. of Neuroscience, 24 (13), 3223-3234. PDF
  29. Knill, D. C. and Kersten, D. (2004), Visuomotor sensitivity to visual information about surface orientation, J. of Neurophysiology. 91 (3): 1350-1366. PDF
  30. Atkins, J. E., Jacobs, R. A. and Knill, D. C. (2003) Experience-Dependent Visual Cue Recalibration Based on Discrepancies Between Visual and Haptic Percepts, Vision Research., 43 (25): 2603-2613. PDF
  31. Saunders, J and Knill, D. C. (2003) Humans use continuous feedback from the hand to control reaching movements, Exp. Brain Research, 152 (3), 341-52. PDF
  32. Knill, D. C. and Saunders, J. (2003) Do humans optimally integrate stereo and texture information for judgments of surface slant? Vision Research, 43 (24), 2539-58. PDF
  33. Knill, D. C. (2003) Mixture models and the probabilistic structure of depth cues, Vision Research, 43 (7), 831-854. PDF
  34. Saunders, J. and Knill, D. C. (2001) Perception of 3D surface orientation from skew symmetry, Vision Research, 41 (24), 3163 - 3185. PDF
  35. Sen, M. G., Yonas, A., and Knill, D. C. (2001). Development of infants' sensitivity to surface contour information for spatial layout, Perception, 30 (2), 167-176. PDF
  36. Schrater, P., Knill, D. C. and Simoncelli, E. (2001) Perceiving expansion without optic flow, Nature, 410 (6830), 816-8. PDF
  37. Knill, D. C. (2001) Contour into texture: The information content of surface contours and texture flow, Journal of the Optical Society A, 18 (1), 12-36. PDF
  38. Schrater, P., Knill, D. C. and Simoncelli, E. (2000) Mechanisms of visual motion detection, Nature Neuroscience, 3 (1), 64 – 68. PDF
  39. Liu Z., Kersten D., & Knill D. C. (1999). Dissociating stimulus information from internal representation --- a case study in object recognition, Vision Research, 39 (3), 603-613. PDF
  40. Mamassian, P., Knill, D. C. and Kersten, D. (1998) Perceiving spatial layout from cast shadows, Trends in Cognitive Science, 2 (8), 288-295. PDF
  41. Knill, D. C. (1998) Surface orientation from texture: Ideal observers, generic observers and the information content of texture cues, Vision Research, 38 (11), 1655-1682. PDF
  42. Knill, D. C. (1998) Discriminating planar surface slant from texture: Human and ideal observers compared, Vision Research, 38 (11), 1683-1711. PDF
  43. Knill, D. C. (1998) Ideal observer perturbation analysis reveals human strategies for inferring surface orientation from texture, Vision Research, 38 (17): 2635-2656. PDF
  44. Knill, D. C., Mamassian, P. and Kersten, D. (1997) The geometry of shadows, Journal of the Optical Society of America, 14 (12), 3216-3232. PDF
  45. Kersten, D., Mamassian, P. and Knill, D. C. (1997) Moving cast shadows induce apparent motion in depth, Perception, 26 (2), 171-192. PDF
  46. Kersten, D., Knill, D.C., Mamassian, P. and Bulthoff, I. (1996) Illusory motion from shadows, Nature 379 (6560), 31. PDF
  47. Mamassian, P., Kersten, D. & Knill, D. C. (1996), Categorical local shape perception, Perception, 25, 95-107. PDF
  48. Knill, D. C., Kersten, D. and Yuille, A. (1996) A Bayesian formulation of visual perception, in (Knill, D. C. and Richards, W., eds.) Perception as Bayesian Inference, Cambridge University Press. Cambridge, England. PDF
  49. Knill, D. C. and Kersten, D. (1996) Implications of a Bayesian formulation of visual information processing for psychophysics; in (Knill, D. C. and Richards, W., eds.) Perception as Bayesian Inference, Cambridge University Press, Cambridge, England.
  50. Jepson, A., Richards, W. and Knill, D.C. (1996) Modal structure and reliable inference; in (Knill, D. C. and Richards, W., eds.) Perception as Bayesian Inference, Cambridge University Press, Cambridge, England.
  51. Liu, Z., Knill, D. C., & Kersten, D. (1995), Object classification for human and ideal observers, Vision Research 35 (4), 549-569. PDF
  52. Knill, D. C., Mamassian, P. and Kersten, D. (1993) The geometry of shadows, University of Minnesota Computer Science Technical Report, TR 93-47.
  53. Yonas, A., Knill, D. C., Sen, A. and Bittinger, K. A. (1993) The development in human infants of sensitivity to surface contour information for 3-D layout, in (Valenti, S. S. and Pittenger, J., eds.)Studies in Perception and Action II, Lawrence Erlbaum Associates Publishers, Hillsdale, New Jersey.
  54. Yonas, A., Sen, A. and Knill, D. C. (1993) Reconceptualizing accretion and deletion of texture, to appear in (Valenti, S. S. and Pittenger, J., eds.)Studies in Perception and Action II, Lawrence Erlbaum Associates Publishers, Hillsdale, New Jersey.
  55. Knill, D. C. (1992) The perception of surface contours and surface shape: from computation to psychophysics. Journal of the Optical Society of America A., 9 (9), 1449-1464. PDF
  56. Knill, D. C. & Kersten, D. (1991) Apparent surface curvature affects lightness perception. Nature, 351, 228-230. PDF
  57. Knill, D. C. & Kersten, D. (1991) Ideal perceptual observers for computation, psychophysics and neural networks. in (R. Watt, Ed.) Vision and Visual Dysfunction, Vol.14: Pattern Recognition by Man and Machine, MacMillan Press, New York, NY.
  58. Knill, D. C., Field, D. & Kersten, D. (1990) Human discrimination of fractal images. Journal of the Optical Society of America A, 7 (6), 1113-1123. PDF
  59. Knill, D. C. & Kersten, D. (1990) Learning a near-optimal estimator for surface shape from shading. Computer Vision, Graphics and Image Processing, 50, 75-100.
  60. Knill, D. C. (1990) Estimating illuminant direction and degree of surface relief. Journal of the Optical Society of America A, 7 (4), 759-775. PDF
  61. Kersten, D., 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. PDF