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Dana H Ballard

Artificial Intelligence, Data Mining, Machine Learning, and Natural Computation

B.S., Aeronautics & Astronautics, Massachusetts Inst. of Technology (1967)
M.S., Information & Control Engineering, Michigan (1970)
Ph.D., Information Engineering, University of California at Irvine (1974)

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.


Kit D, Katz L, Sullivan B, Snyder K, Ballard D, et al. (2014) Eye Movements, Visual Search and Scene Memory, in an Immersive Virtual Environment. PLoS ONE 9(4), e94362. PDF

Hayhoe, M. & Ballard, D. (2014) Modeling task control of eye movements. Current Biology, 24(13), R622-R628. PDF


Diaz, G., Cooper, J., Kit, D., & Hayhoe, M. (2013) Real-time recording and classification of eye movements in an immersive virtual environment. Journal of Vision, 13(12), 5. PDF

Diaz, G., Cooper, J., & Hayhoe, M. (2013) Memory and prediction in natural gaze control. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 368(1628), 20130064. PDF

Johnson, L, Rothkopf, C, Ballard D & Hayhoe M. (2013) Predicting human visuo-motor behavior in a driving task. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 369(1636), 20130044. PDF

Diaz, G, Cooper, J, Rothkopf, C, & Hayhoe, M. (2013) Saccades to future ball location reveal memory-based prediction in a natural interception task. Journal of Vision, 13(1), 20. PDF

Delerue, C., Hayhoe, M, & Boucart, M. (2013) Eye movements during natural actions in patients with schizophrenia J Psychiatry Neurosci, 38(5), 317-24. PDF

Rothkopf, C. A., & 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., & Sullivan, B. (2013). A hierarchical modular architecture for embodied cognition. Multisensory research, 26(1-2), 177-204. PDF