List of Publications (June 2000)

Book

  1. Rajesh P. N. Rao, Bruno A. Olshausen and Michael S. Lewicki (Eds.). Statistical Theories of the Brain (forthcoming), Cambridge, MA: MIT Press, 2000.

    Book Review

  2. Rajesh P. N. Rao. ``Learning to maximize rewards: A review of Sutton and Barto's Reinforcement Learning: An Introduction'' Neural Networks, Vol. 13(1), pp. 135-137, 2000.

    Learning and Computation in Neural Systems

  3. Chris Diorio and Rajesh P. N. Rao. "Neural Circuits in Silicon" Nature, 405 pp. 891-892, 2000.

  4. Rajesh P. N. Rao and Terrence J. Sejnowski. ``Predictive Sequence Learning in Recurrent Neocortical Circuits'' Advances in Neural Information Processing Systems Volume 12, S. A. Solla, T. K. Leen, and K.-R. Müller (eds.), Cambridge, MA: MIT Press, pp.\ 164-170, 2000.

  5. Dana H. Ballard, Rajesh P. N. Rao, and Zuohua Zhang, ``A Single-Spike Model of Predictive Coding'' Neurocomputing, 32-33, 17-23, 2000.

  6. Rajesh P. N. Rao and Dana H. Ballard. ``Predictive Coding in the Visual Cortex: A Functional Interpretation of Some Extra-Classical Receptive Field Effects'' Nature Neuroscience, 2(1), 79-87, 1999.

  7. Rajesh P. N. Rao. ``An Optimal Estimation Approach to Visual Perception and Learning'' Vision Research, 39(11), 1963-1989, 1999.

  8. Rajesh P. N. Rao and Daniel L. Ruderman. ``Learning Lie Groups for Invariant Visual Perception'' M. S. Kearns, S. A. Solla and D. Cohn (Eds.), Advances in Neural Information Processing Systems 11, Cambridge, MA: MIT Press, 810-816, 1999.

  9. Rajesh P. N. Rao and Dana H. Ballard. ``Development of Localized Oriented Receptive Fields by Learning a Translation-Invariant Code for Natural Images'' Network: Computation in Neural Systems, 9(2), 219-234, 1998.

  10. Rajesh P. N. Rao. ``Correlates of Attention in a Model of Dynamic Visual Recognition'' M. I. Jordan, M. J. Kearns and S. A. Solla (Eds.), Advances in Neural Information Processing Systems 10, Cambridge, MA: MIT Press, 80-86, 1998.

  11. Dana H. Ballard, Garbis Salgian, Rajesh P. N. Rao and R. Andrew McCallum. ``On the role of time in brain computation'' L. R. Harris and M. Jenkin (Eds.), Vision and Action, Cambridge, UK: Cambridge University Press, 82-119, 1998.

  12. Rajesh P. N. Rao and Dana H. Ballard. ``Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex'' Neural Computation, 9, 721-763, 1997.

  13. Rajesh P. N. Rao and Dana H. Ballard. ``The Visual Cortex as a Hierarchical Predictor'' Technical Report 96.4, National Resource Laboratory for the Study of Brain and Behavior, University of Rochester, September 1996. Society for Neuroscience Abstracts 23(2), 1997.

  14. Rajesh P. N. Rao and Dana H. Ballard. ``Efficient Encoding of Natural Time Varying Images Produces Oriented Space-Time Receptive Fields'', Technical Report 97.4, National Resource Laboratory for the Study of Brain and Behavior, University of Rochester, August 1997.

  15. Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, and Dana H. Ballard. ``Eye Movements in Visual Cognition: A Computational Study'', Technical Report 97.1, National Resource Laboratory for the Study of Brain and Behavior, Computer Science Department, University of Rochester, March 1997.

  16. Rajesh P. N. Rao and Dana H. Ballard. ``Cortico-Cortical Dynamics and Learning during Visual Recognition: A Computational Model'' J. M. Bower (editor), Computational Neuroscience: Trends in Research 1997, New York, NY: Plenum Press, 1997.

  17. Rajesh P. N. Rao and Dana H. Ballard. ``A Computational Model of Spatial Representations That Explains Object-Centered Neglect in Parietal Patients'' J. M. Bower (editor), Computational Neuroscience: Trends in Research 1997, New York, NY: Plenum Press, 1997.

  18. Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook, and Rajesh P.N. Rao. ``Deictic Codes for the Embodiment of Cognition'' Behavioral and Brain Sciences, 20(4), 723-767, 1997.

  19. Rajesh P. N. Rao and Dana H. Ballard. ``A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo'' Technical Report 96.1, National Resource Laboratory for the Study of Brain and Behavior, University of Rochester, June 1996.

  20. Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, and Dana H. Ballard. ``Modeling Saccadic Targeting in Visual Search'' D. Touretzky, M. Mozer and M. Hasselmo (Eds.), Advances in Neural Information Processing Systems 8, Cambridge, MA: MIT Press, 830-836, 1996.

  21. Rajesh P. N. Rao and Dana H. Ballard. ``Learning Saccadic Eye Movements using Multiscale Spatial Filters'' G. Tesauro, D.S. Touretzky and T.K. Leen (Eds.), Advances in Neural Information Processing Systems 7, Cambridge, MA: MIT Press, 893-900, 1995.

  22. Dana H. Ballard and Rajesh P. N. Rao. ``A Computational Model of Human Vision Based on Visual Routines'' (Invited Paper) Proc.  of the DAGM (German Working Group in Pattern Recognition) Symposium, G. Sagerer, S. Posch, and F. Kummert (Eds.), Berlin: Springer-Verlag, 1995.

    Computer Vision

  23. Rajesh P. N. Rao. ``Dynamic Appearance-Based Recognition'' Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97) 540-546, 1997.

  24. Rajesh P. N. Rao. ``A Kalman Filter That Learns Robust Models of Dynamic Phenomena'' Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 1997.

  25. Rajesh P. N. Rao. ``Robust Kalman Filters for Prediction, Recognition, and Learning'' (submitted for publication) January 1997. University of Rochester Computer Science Technical Report 645, December, 1996.

  26. Rajesh P. N. Rao and Dana H. Ballard. ``An Active Vision Architecture based on Iconic Representations'' Artificial Intelligence, 78, 461-505, 1995. Also appeared as University of Rochester Computer Science Technical Report 548, April 1995.

  27. Rajesh P. N. Rao and Dana H. Ballard. ``Natural Basis Functions and Topographic Memory for Face Recognition'' Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)10-17, 1995.

  28. Rajesh P. N. Rao and Dana H. Ballard. ``Object Indexing using an Iconic Sparse Distributed Memory'' Proc. of the International Conference on Computer Vision (ICCV)24-31, 1995. University of Rochester Computer Science Technical Report 559, August 1995.

  29. Rajesh P. N. Rao. ``Top-Down Gaze Targeting for Space-Variant Active Vision.'' Proc. of the ARPA Image Understanding Workshop, Monterey, CA1049-1058, November 1994.

  30. Rajesh P. N. Rao and Dana H. Ballard. ``A Multiscale Filterbank Approach to Camera Movement Control in Active Vision Systems.'' Proc. of 1994 SPIE Conference on Intelligent Robots and Computer Vision XIII : 3D Vision, Product Inspection, and Active Vision, 2354, 105-116, 1994.

  31. Dana H. Ballard, Rajesh P.N. Rao, and Garbis Salgian. ``Multiscale Spatial Filters for Visual Tasks and Object Recognition.'' (Invited Paper) Proc. of the Second International Workshop on Visual Form, Capri, Italy, May, 1994.

  32. Dana H. Ballard, and Rajesh P.N. Rao. ``Seeing behind Occlusions .'' Proc. of the Third European Conference on Computer Vision (ECCV), Stockholm, Sweden, May 1994274-285. University of Rochester Computer Science Technical Report 487, February 1994.

    Sensorimotor Learning in Mobile Robots

  33. Rajesh P. N. Rao and Olac Fuentes. ``Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory'' Autonomous Robots, 5, pp. 297-316, 1998 and Machine Learning, 31, pp. 87-113, 1998.

  34. Rajesh P. N. Rao and Olac Fuentes. ``Learning Navigational Behaviors using a Predictive Sparse Distributed Memory'' From Animals to Animats: Proc. of the Fourth Int. Conf. on Simulation of Adaptive Behavior382-390, 1996.

  35. Olac Fuentes, Rajesh P. N. Rao, and Michael Van Wie. `` Hierarchical Learning of Reactive Behaviors in an Autonomous Mobile Robot'' Proc. of IEEE International Conference on Systems, Man and Cybernetics, 1995.

  36. Rajesh P. N. Rao and Olac Fuentes. ``Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps'' Proc. of World Congress on Neural Networks II380-II383, 1995.

    Theoretical Computer Science

  37. Rajesh P. N. Rao. ``A Note on P-Selectivity and Closeness'' Information Processing Letters, 54, pp. 179-185, 1995. University of Rochester Computer Science Technical Report 499, April 1994.

  38. Rajesh P. N. Rao, Jörg Rothe and Osamu Watanabe. ``Upward Separation for FewP and Related Classes'' Information Processing Letters, 52(4), 175-180, 1994. University of Rochester Computer Science Technical Report 488, February 1994.

    Psychophysics

  39. Gregory J. Zelinsky, Rajesh P. N. Rao, Mary M. Hayhoe, and Dana H. Ballard. ``Eye Movements Reveal the Spatiotemporal Dynamics of Visual Search'' Psychological Science, 8(6), 448-453, 1997.

  40. Gregory J. Zelinsky, Rajesh P. N. Rao, Mary M. Hayhoe, and Dana H. Ballard. ``Adding Resolution to an Old Problem: Eye Movements as a Measure of Visual Search'' G. Cottrell (editor), Proc. of the 18th Annual Conference of the Cognitive Science Society, June 12-15, La Jolla, CA, 57-58, 1996.

  41. Gregory J. Zelinsky, Rajesh P. N. Rao, Mary M. Hayhoe, and Dana H. Ballard. ``Eye Movements during a Realistic Search Task'' (abstract). Investigative Ophthalmology and Visual Science, 37, page S15, 1996.

  42. Gregory J. Zelinsky, Rajesh P. N. Rao, Mary M. Hayhoe, and Dana H. Ballard. ``Eye Movements and Visual Search in Natural Scenes'' (abstract). Optics and Photonics News (supplement), 7, page 65, 1996.

    Popular Media

  43. Rajesh P. N. Rao. ``Building Computers That See, Adapt and Learn'' Translated article (in Kannada) appeared in Udayavani Kannada Daily (India), July 21, 1996.

  44. Quoted in a story describing our group's mobile robot research (see above). Rochester Democrat and Chronicle (Daily), page 8B, December 22, 1994.

  45. Brief television interviews on mobile robot research (Rochester News Channel 13 and Rochester Independent News, December 1994).

Invited Talks and Presentations

  1. Attention as Robust Statistical Filtering. Neural Mechanisms of Perceptual Selection in Visual and Prefrontal Cortex Workshop, Breckenridge, December, 1999.
  2. Optimal Smoothing in Visual Motion Perception: Evidence from the Flash Lag Effect. Adaptive Computational Models and Short Time Perceptual Learning Workshop, Breckenridge, December, 1999.
  3. Predictive Learning of Direction Selectivity in Recurrent Neocortical Circuits. Spike Timing and Synaptic Plasticity Workshop, Breckenridge, December, 1999.
  4. Prediction and Recurrent Excitation in the Neocortex. Neural Information and Coding Workshop, Big Sky, Montana, March, 1999.
  5. The Predictive Coding Hypothesis of Cortical Function. Center for Biological and Computational Learning, MIT, April 1998, Center for Visual Science Symposium, University of Rochester, June 1998 and Smith-Kettlewell Eye Institute, San Francisco, July 1998.
  6. Learning Spatiotemporal Generative Models. Workshop on Computational Neuroscience and Generative Models, University of Toronto, February 1998.
  7. Invited Participant, Symposium on Visual Object Recognition: Theory and Experiment, University of Southern California, February 1998.
  8. The Cerebral Cortex as a Predictor and Model Builder (Postdoc Job Talk). The Salk Institute for Biological Studies, February 1997.
  9. The Visual Cortex as a Hierarchical Predictor. Telluride Workshop on Neuromorphic Engineering (1996), Center for Visual Science, University of Rochester (1996) and NIPS Workshop on ``Vertebrate Neurophysiology and Neural Networks: Can the teacher learn from the student?'' (1995).

Conference Talks

  1. Predictive Sequence Learning in Recurrent Neocortical Circuits (Spotlight). Neural Information Processing Systems (NIPS) Annual Conference (1999).
  2. Direction Selectivity from Predictive Sequence Learning in Recurrent Neocortical Circuits. Society for Neuroscience Annual Meeting (1999), 6th Joint Symposium on Neural Computation (1999).
  3. The Visual Cortex as a Hierarchical Predictor. Society for Neuroscience Annual Meeting (1997).
  4. Dynamic Appearance-Based Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1997. Best presentation award in ``Object Recognition'' session.
  5. Cortico-Cortical Dynamics and Learning during Visual Recognition: A Computational Model. Computational Neuroscience (CNS) Annual Meeting, 1996.
  6. Modeling Saccadic Targeting in Visual Search. Neural Information Processing Systems (NIPS) Annual Conference, 1995.
  7. Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps. World Congress on Neural Networks (WCNN), 1995.
  8. Natural Basis Functions and Topographic Memory for Face Recognition. International Joint Conference on Artificial Intelligence (IJCAI), 1995.
  9. Object Indexing using an Iconic Sparse Distributed Memory. International Conference on Computer Vision (ICCV), 1995.
  10. Learning Saccadic Eye Movements using Multiscale Spatial Filters . Neural Information Processing Systems (NIPS) Annual Conference, 1994.
  11. A Multiscale Filterbank Approach to Camera Movement Control in Active Vision Systems. SPIE Conference on Intelligent Robots and Computer Vision XIII : 3D Vision, Product Inspection, and Active Vision, 1994.
  12. Seeing behind Occlusions . Third European Conference on Computer Vision (ECCV), Stockholm, Sweden, 1994.