D. Knill

发表

Humans use continuous visual feedback from the hand to control fast reaching movements

J. Saunders, D. Knill, 2003, Experimental Brain Research.

W. Richards, D. Knill, A. Jepson, 1996 .

W. Richards, D. Knill, 2008 .

Robust cue integration: a Bayesian model and evidence from cue-conflict studies with stereoscopic and figure cues to slant.

D. Knill, 2007, Journal of vision.

Do humans optimally integrate stereo and texture information for judgments of surface slant?

J. Saunders, D. Knill, 2003, Vision Research.

The Bayesian brain: the role of uncertainty in neural coding and computation

D. Knill, A. Pouget, 2004, Trends in Neurosciences.

Bayesian sampling in visual perception

D. Knill, A. Pouget, Rubén Moreno-Bote, 2011, Proceedings of the National Academy of Sciences.

The perception of cast shadows

D. Knill, D. Kersten, P. Mamassian, 1998, Trends in Cognitive Sciences.

Human discrimination of fractal images.

D. Field, D. Knill, D. Kersten, 1990, Journal of the Optical Society of America. A, Optics and image science.

Moving Cast Shadows and the Perception of Relative Depth

D. Knill, D. Kersten, P. Mamassian, 1994 .

Contour into texture: information content of surface contours and texture flow.

D. Knill, 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

Experience-dependent visual cue recalibration based on discrepancies between visual and haptic percepts

R. Jacobs, D. Knill, Joseph E. Atkins, 2003, Vision Research.

An ideal observer analysis of visual working memory.

R. Jacobs, D. Knill, C. Sims, 2012, Psychological review.

Perception of 3D surface orientation from skew symmetry

J. Saunders, D. Knill, 2001, Vision Research.

The role of memory in visually guided reaching.

D. Knill, A. Brouwer, 2007, Journal of vision.

Apparent surface curvature affects lightness perception

D. Knill, D. Kersten, 1991, Nature.

Learning Stochastic Reward Distributions in a Speeded Pointing Task

Brian C. McCann, D. Knill, Julia Trommershäuser, 2008, The Journal of Neuroscience.

The brain uses adaptive internal models of scene statistics for sensorimotor estimation and planning

D. Knill, Oh-Sang Kwon, 2013, Proceedings of the National Academy of Sciences.

Learning Bayesian priors for depth perception.

D. Knill, 2007, Journal of vision.

Implications of a Bayesian formulation of visual information for processing for psychophysics

D. Knill, D. Kersten, P. Mamassian, 1996 .

Cognition: Conceptual and methodological issues.

David C. Knill, Herbert L. Pick, D. Knill, 1992 .

Reaching for visual cues to depth: the brain combines depth cues differently for motor control and perception.

David C Knill, D. Knill, 2005, Journal of vision.

The absolute disparity anomaly and the mechanism of relative disparities

D. Knill, D. Levi, D. Bavelier, 2016, Journal of vision.

Humans use visual and remembered information about object location to plan pointing movements.

D. Knill, A. Brouwer, 2009, Journal of vision.

Cognitive Visual Feedback Control of Hand Movements

J. Saunders, D. Knill, 2004 .

Behavioral / Systems / Cognitive Visual Feedback Control of Hand Movements

J. Saunders, D. Knill, 2004 .

Ideal-Observer Models of Cue Integration

M. Landy, D. Knill, M. Banks, 2012 .

CHAPTER 1 Ideal-Observer Models of Cue Integration

M. Landy, D. Knill, M. Banks, 2011 .

Kinesthesis Can Make an Invisible Hand Visible

Kevin C. Dieter, D. Knill, R. Blake, 2014, Psychological science.

Visuomotor sensitivity to visual information about surface orientation.

D. Knill, D. Kersten, 2004, Journal of neurophysiology.

Stereopsis and amblyopia: A mini-review

David C. Knill, Daphne Bavelier, Dennis M. Levi, 2015, Vision Research.

A comparison of visuomotor cue integration strategies for object placement and prehension

Hal S. Greenwald, D. Knill, 2009, Visual Neuroscience.

1 Modal Structure and Reliable

W. Richards, D. Knill, InferenceAllan Jepson, 2007 .

Binocular and monocular depth cues in online feedback control of 3D pointing movement.

David C Knill, D. Knill, Bo Hu, 2011, Journal of vision.

Adapting internal statistical models for interpreting visual cues to depth.

David C Knill, Julia Trommershäuser, Anna Seydell, 2010, Journal of vision.

Integrating visual cues for motor control: A matter of time

David C. Knill, Jeffrey A. Saunders, Hal S. Greenwald, 2005, Vision Research.

The Adaptive Nature of Visual Working Memory

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2014 .

Optimality Principles Apply to a Broad Range of Information Integration Problems in Perception and Action

Robert A. Jacobs, David C. Knill, Anne-Marie Brouwer, 2012 .

Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception

Richard N. Aslin, David C. Knill, Meghan Clayards, 2011, PloS one.

Illusory motion from shadows

Pascal Mamassian, Daniel Kersten, Pascal Mamassian, 1996, Nature.

Bayesian and Statistical Approaches to Vision

D. Knill, W. Geisler, W. Friedman, 2003 .

Visual feedback control of pointing movements in depth

Bo Hu, David C. Knill, D. Knill, 2010 .

Kinesthetic feedback helps disambiguate 3D structure-from-motion

Bo Hu, David C. Knill, D. Knill, 2010 .

Active manipulation disambiguates local but not global motion perception

Bo Hu, David C. Knill, D. Knill, 2010 .

Detecting motion along spatio-temporally coherent vs. incoherent trajectories

David C. Knill, Jeffrey A. Saunders, Jiri Najemnik, 2010 .

Modeling dynamic re-weighting in visual cue integration

Bo Hu, David C. Knill, Christopher M. Brown, 2010 .

An ideal observer analysis of visual short-term memory: Evidence for flexible resource allocation

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2011 .

Flexible, Task-Dependent Use of Sensory Feedback to Control Hand Movements

Manu Chhabra, David C Knill, Amulya Bondada, 2011, The Journal of Neuroscience.

How is visual feedback from the hand used to control reaching movements

J. Saunders, D. Knill, 2002 .

Surface Orientation Visuomotor Sensitivity to Visual Information About

Eli Brenner, Herbert C. Goltz, Agnes M. F. Wong, 2015 .

Mechanisms of visual motion detection

Paul R. Schrater, Eero P. Simoncelli, David C. Knill, 2000, Nature Neuroscience.

Introduction: a Bayesian formulation of visual perception

David C. Knill, Daniel Kersten, Alan L. Yuille, 1996 .

Perceiving visual expansion without optic flow

Paul R. Schrater, Eero P. Simoncelli, David C. Knill, 2001, Nature.

Moving Cast Shadows Induce Apparent Motion in Depth

D Kersten, P Mamassian, D C Knill, 1997, Perception.

Learning and inference using complex generative models in a spatial localization task

Richard N. Aslin, David C. Knill, Vikranth R. Bejjanki, 2016, Journal of vision.

Mixture models and the probabilistic structure of depth cues

David C Knill, D. Knill, 2003, Vision Research.

Spatial integration of optic flow information in direction of heading judgments.

Krystel R Huxlin, Laurel Issen, D. Knill, 2015, Journal of vision.

Orientation Disparity: A Cue for 3D Orientation?

David C. Knill, Hal S. Greenwald, D. Knill, 2009, Neural Computation.

Adaptive Allocation of Vision under Competing Task Demands

Chris R Sims, Robert A Jacobs, David C Knill, 2011, The Journal of Neuroscience.

Visual Feedback Control of Hand Movements

David C Knill, Jeffrey A Saunders, J. Saunders, 2004, The Journal of Neuroscience.

Decoupling eye and hand movement control: visual short-term memory influences reach planning more than saccade planning.

David C Knill, D. Knill, Laurel A Issen, 2012, Journal of vision.

Dissociating stimulus information from internal representation—a case study in object recognition

Zili Liu, Daniel Kersten, David C Knill, 1999, Vision Research.

Object classification for human and ideal observers

David C. Knill, Zili Liu, Daniel Kersten, 1995, Vision Research.

Unifying account of visual motion and position perception

Duje Tadin, David C Knill, Oh-Sang Kwon, 2015, Proceedings of the National Academy of Sciences.

Humans use continuous visual feedback from the hand to control both the direction and distance of pointing movements

David C. Knill, Jeffrey A. Saunders, J. Saunders, 2005, Experimental Brain Research.

Recovering stereo vision by squashing virtual bugs in a virtual reality environment

Daphne Bavelier, David C Knill, Indu Vedamurthy, 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

Sensorimotor Processing and Goal-Directed Movement.

David C Knill, Julia Trommershäuser, Laurence T Maloney, 2007, Journal of vision.

Cue integration outside central fixation: a study of grasping in depth.

Hal S. Greenwald, David C Knill, D. Knill, 2009, Journal of vision.

Learning a Near-Optimal Estimator for Surface Shape from Shading

David C. Knill, Daniel J. Kersten, D. Knill, 1990, Comput. Vis. Graph. Image Process..

Extraction of 3d Shape from Optic Flow

D. Knill, T. Dijkstra, P. Snoeren, 1994 .

Kinesthetic information disambiguates visual motion signals

D. Knill, Bo Hu, 2010, Current Biology.

The Bayesian brain: the role of uncertainty in neural coding and computation

D. Knill, A. Pouget, 2004, Trends in Neurosciences.

Discrimination of planar surface slant from texture: human and ideal observers compared

D. Knill, D. Knill, 1998, Vision Research.

Perception of surface contours and surface shape: from computation to psychophysics.

D C Knill, D. Knill, 1992, Journal of the Optical Society of America. A, Optics and image science.

Estimating illuminant direction and degree of surface relief.

D C Knill, D. Knill, 1990, Journal of the Optical Society of America. A, Optics and image science.

Decoupling eye and hand movement control: visual short-term memory influences reach planning more than saccade planning.

D. Knill, L. Issen, 2012, Journal of vision.

Surface orientation from texture: ideal observers, generic observers and the information content of texture cues

David C. Knill, D. Knill, 1998, Vision Research.

Geometry of shadows.

D. Knill, D. Kersten, P. Mamassian, 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

Perception as Bayesian Inference: Introduction

Alan L. Yuille, David C. Knill, Daniel Kersten, 1996 .

An Ideal Observer Analysis of Visual Working Memory We Thank Leslie Chylinski for Assis- Tance with Subject Recruitment and Data Collection. the Manuscript Was Greatly Improved Thanks to Constructive Comments from Steven Luck and Background on Rate–distortion Theory

Jeffrey N. Rouder, D. Knill, C. Sims, 2022 .

Perception as Bayesian Inference

W. Richards, D. Knill, 2008 .