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

Dana H. Ballard

Dana has moved to the University of Texas at Austin. His new webpage is here

PhD, University of California, Irvine, 1974

Professor, Computer Science, Brain & Cognitive Sciences

I apologise to the countries of the world for the shameful warmaking of President Bush. These actions are not supported by millions of people in the USA

Contact Information
Computer Studies Building 721
Department of Computer Science
University of Rochester
Rochester, NY 14627

(585) 275-3772

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Office Hours

By appointment.

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Research Overview
My main research interest is in computational theories of the brain with emphasis on human vision. 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. The theoretical aspects of that system were summarized in a paper ``Animate Vision,'' which received the Best Paper Award at the 1989 International Joint Conference on Artificial Intelligence. Currently I am interested in pursuing this research by using model humans in virtual reality environments. In addtion I am interested in models of the brain that relate to detailed neural codes. A position paper on this work appeared in the Behavioral and Brain Sciences.
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Selected Publications
  • 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 [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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Research Collaborators
Computer Vision1982
Research Collaborators
Mary Hayhoe, Professor, Department of Brain and Cognitive Science, University of Rochester
Chen Yu, Assistant Professor, Department of Psychology, University of Indiana

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Research Support
This research has received support from the National Institutes of Health.

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Courses

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Current Graduate Students
Wielie Yi
Xue Gu
Jonathan Shaw
Constantin Rothkopf
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Last modified: 2/4/2003
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