image of Mary M. Hayhoe Research Overview
Selected Publications
Research Collaborators
Research Support
Courses
Current Graduate Students
CV
Former Students
Former PostDocs

Dana H. Ballard

PhD, University of California, Irvine, 1974

Professor, Computer Science

image of Mary M. HayhoeContact Information
Department of Computer Sciences
University of Texas at Austin
Austin TX 78712

(512) 471 9750

contact

Office Hours

By appointment.
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image of Mary M. HayhoeResearch Overview
My main research interest is in computational theories of the brain with emphasis on human vision and motor control. In 1985 Chris Brown and I led a team that designed and built a high speed binocular camera control system capable of simulating human eye movements. The system was mounted on a robotic arm that allowed it to move at one meter per second in a two meter radius workspace. This system has led to an increased understanding of the role of behavior in vision, in particular that visual computations can be simpler when interacting in the 3D world. Currently I am interested in pursuing this research by using high DOF models of humans' natural behavior in virtual reality environments.
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image of Mary M. HayhoeLab Website [Lab]



image of Mary M. HayhoeMIT Press Book [Book]



image of Mary M. Hayhoe   Courses
  • Computer Science CS391L MACHINE LEARNING
    If you are NOT in CS and want to take Machine Learning and have the prequisites, send an email to Katie Dahm kdahm@cs.utexas.edu and ask to be put on the nonCS list.

  • Computer Science 342C COMPUTATIONAL BRAIN

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image of Mary M. HayhoeSelected Publications
  • Leif Johnson, Brian Sullivan, Mary Hayhoe and Dana Ballard,(2014)Predicting human visuomotor behaviour in a driving task,Phil. Trans. R. Soc.,369,20130044.[PDF
  • C. A. Rothkopf and Ballard, D. H.(2013)Modular inverse reinforcement learning for visuomotor behavior, Biological Cybernetics, 107(4),477-490[PDF]
  • Ballard, D. H., Kit, D., Rothkopf, C. A. and Sullivan, B. (2013)A hierarchical modular architecture for embodied cognition, Multisensory Research,26(1-2),177-204[PDF]
    • B. T. Sullivan, L. Johnson, C. A. Rothkopf, D. H. Ballard and M. M. Hayhoe, (2012)The role of uncertainty and reward on eye movements in a virtual driving task, Journal of Vision,12(13):19, 1-16[PDF]
  • Ballard, D. H., and Jehee, J. M. F. (2012)Dynamic coding of signed quantities in cortical feedback circuits, Frontiers in Perception Science[PDF]
  • Ballard, D. H., and Jehee, J. M. F. (2011) Dual roles for spike signaling in cortical neural populations, Frontiers in Computational Neuroscience[PDF]
  • Tatler, B. W., Hayhoe, M.M., Land, M. F., and Ballard, D. H. (2011) Eye Guidance in natural vision: Reinterpreing salience, ournal of Vision[PDF]
  • Rothkopf, C. A., and Ballard, D. H. (2010) Credit assignment in multiple goal embodied visuomotor behavior, Frontiers in Psychology[PDF]
  • Yi, W. and Ballard, D. H. (2009) Recognizing behavior in hand-eye coordination patterns, Int. Journal of Humanoid Robotics[PDF]
  • Ballard, D. H. and Hayhoe, M. M.(2009) Modeling the role of task in the control of gaze, Visual Cognition, 17, 1185-1204
  • Rothkopf, C. A., and Ballard, D. H.(2009) Image statistics at the point of gaze during human navigation, Visual Neuroscience,26, 81-92
  • Jehee, J. F. M. and Ballard, D. H.(2009) Predictive Feedback Can Account for Biphasic Responses in the Lateral Geniculate Nucleus, PLoS Computational Biology[PDF]
  • Rothkopf, C. A., Ballard D. H. and Hayhoe, M. M. (2007) Task and context determine where you look, Journal of Vision, 7(14) 1-20 [PDF]
  • Gu, X., and Ballard, D. H. (2006) An Equilibrium Point based Model Unifying Movement Control in Humanoids, Robotics: Science and Systems [PDF]
  • Hayhoe, M. M., and Ballard, D. H. (2005) Eye Movements in Natural Behavior, Trends in Cognitive Science [PDF]
  • Sprague, N. and Ballard, D. H. (2005) Modeling Embodied Visual Behaviors ACM Transactions on Applied Perception [PDF]
  • Yu, Chen and Dana H. Ballard,(2004), A Multimodal Learning Interface for Grounding Spoken Language in Sensorimotor Experience, ACM Transactions on Applied Perception. 1, 1[PDF]
  • Triesch, J., Ballard, D., Hayhoe, M., & Sullivan, B. (2003). What you see s what you need. Journal of Vision, 3, 86-94.[PDF]
  • Shimozaki, S., Zelinsky, G., Hayhoe, H., Merigan, W., & Ballard, D. (2003). Spatial memory and saccade targeting deficits from parietal injury. Neuropsychologia, 41, pp. 1365-1386.
  • Rao, R., Zelinsky, G., Hayhoe, M., & Ballard, D. (2002). Eye movements in iconic visual search. Vision Research, 42(11), 1447-1463. [PDF]
  • Triesch, J., Ballard, D.H., and Jacobs, R.A. (2002) Fast temporal dynamics of visual cue integration. Perception, 31, 421-434 [PDF]
  • Triesch, J., Sullivan, B., Hayhoe, M., & Ballard, D. (2002). Saccade contingent scene changes in unconstrained virtual reality. Proceedings, Eye Tracking Research & Application, 95-102. [PDF]
  • Zuohua Zhang, Dana H. Ballard,(2001) Distributed Synchrony, Journal of Neurocomputing, Vol 44-46C, 715-720.
  • Rao, R.P.N. and D.H. Ballard,(1999), Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects, Nature Neuroscience 2, 1, 79 [PDF]
  • Hayhoe, M., Bensinger, D., & Ballard, D. (1998). Task constraints in visual working memory. Vision Research, 38, 125-137. [PDF]
  • de Sa, V.R., & Ballard, D. (1998) Category Learning through Multi-Modality Sensing, Neural Computation 10(5)[PDF]
  • Ballard, D., Hayhoe, M., Pook, P., & Rao, R. (1997). Deictic codes for the embodiment of cognition. Behavioral and Brain Sciences, 20, 723-767. [PDF]
  • Zelinsky, G., Rao, R., Hayhoe, M., & Ballard, D. (1997). Eye movements reveal the spatio-temporal dynamics of visual search. Psychological Science, 8, 448-453.[PDF]
  • Rao, R., Zelinsky, G., Hayhoe, M., & Ballard, D. (1996). Modelling saccade targeting in visual search. In D. Touretzky, M. Mozer, & M. Hasselmo (Eds). Advances in Neural Information Processing Systems, 8, pp. 830-836. Cambridge, MA: MIT Press.
  • Smeets, J., Hayhoe, M., & Ballard, D. (1996). Influence of hand movements on eye-head coordination. Experimental Brain Research, 109, 434-440.
  • Ballard, D., Hayhoe, M., & Pelz, J. (1995). Memory representations in natural tasks. Cognitive Neuroscience, 7, 66-80.
  • Ballard, D.H., "Animate vision," Artificial Intelligence Journal 48, 57-86, 1991
  • Swain, M. J. & Ballard, D. H. (1991) Color Indexing, International Journal of Computer Vision, 7,1,11-32 [PDF]
  • Ballard, D.H., G.E. Hinton, and T.J. Sejnowski (1983), Parallel visual computation, Nature 306, 5938, 21-26, 3
  • Ballard, D. H. (1981), Strip trees: a hierarchical representation for curves, Communications of the ACM, v.24 n.5,310-321[PDF]
  • Ballard, D.H., "Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognition 13, 2, April 1981[PDF]
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image of Mary M. Hayhoe   Books
  • Ballard D. H. Brain Computation as Hierarchical Abstraction, MIT Press, 2015
  • Computer Vision Ballard D. H. and Brown C. M., Computer Vision, Prentice Hall, 1982
  • Ballard D. H. Natural Computation, MIT Press, 1987
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    image of Mary M. Hayhoe   Collaborators
    Mary Hayhoe, Professor, Department of Psychology, University of Texas at Austin
    Chen Yu, Associate Professor, Department of Psychology, University of Indiana
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    image of Mary M. Hayhoe   Research Support
    This research has received support from the National Institutes of Health and the National Sciences Foundation.

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    image of Mary M. Hayhoe   Current Graduate Students
    Lijia Liu
    Ruohan Zhang
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