Dana H. Ballard

Affiliations: 
University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
visual system,computational neuroscience
Website:
http://liberalarts.utexas.edu/cps/faculty/dhb275
Google:
"Dana Ballard"
Mean distance: 13.26 (cluster 29)
 

Children

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Virginia R. de Sa grad student Rochester
Andrew McCallum grad student University of Massachusetts
Jeroen Smeets grad student
Rajesh P. Rao grad student 1993-1997 Rochester
Jessica Bayliss grad student 2001 Rochester
Zuohua Zhang grad student 2003 Rochester
Shenghuo Zhu grad student 2003 Rochester
Nathan Sprague grad student 2004 Rochester
Chen Yu grad student 2004 Rochester
Xue Gu grad student 2006 Rochester
Jonathan M. Shaw grad student 2006 Rochester
Weilie Yi grad student 2006 Rochester
Constantin A. Rothkopf grad student 2009 Rochester
Jochen Triesch post-doc UCSD
Gregory J. Zelinsky post-doc SUNY - Stonybrook
Jeroen Smeets post-doc 1993-1993 Rochester
Janneke F.M. Jehee post-doc 2005-2007 Rochester
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Publications

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Zhang R, Zhang S, Tong MH, et al. (2018) Modeling sensory-motor decisions in natural behavior. Plos Computational Biology. 14: e1006518
Ballard DH. (2015) Brain computation as hierarchical abstraction Brain Computation as Hierarchical Abstraction. 1-442
Zhang R, Song Z, Ballard DH. (2015) Global policy construction in modular reinforcement learning Proceedings of the National Conference On Artificial Intelligence. 6: 4226-4227
Hayhoe M, Ballard D. (2014) Modeling task control of eye movements. Current Biology : Cb. 24: R622-8
Kit D, Katz L, Sullivan B, et al. (2014) Eye movements, visual search and scene memory, in an immersive virtual environment. Plos One. 9: e94362
Johnson L, Sullivan B, Hayhoe M, et al. (2014) Predicting human visuomotor behaviour in a driving task. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 369: 20130044
Rothkopf CA, Ballard DH. (2014) Learning and coordinating repertoires of behaviors with common reward: Credit assignment and module activation Computational and Robotic Models of the Hierarchical Organization of Behavior. 99-125
Johnson L, Ballard DH. (2014) Efficient codes for inverse dynamics during walking Proceedings of the National Conference On Artificial Intelligence. 1: 343-349
Rothkopf CA, Ballard DH. (2013) Modular inverse reinforcement learning for visuomotor behavior. Biological Cybernetics. 107: 477-90
Ballard DH, Kit D, Rothkopf CA, et al. (2013) A hierarchical modular architecture for embodied cognition. Multisensory Research. 26: 177-204
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