Correlates of attention in a model of dynamic visual recognition

Advances in Neural Information Processing Systems

Volumn , Issue , 1998, Pages 80-86

  Rao, Rajesh P N ^a  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KALMAN FILTERS; NEURAL NETWORKS; VISION;

FILTER-BASED MODEL; FUNCTIONAL INTERPRETATIONS; KALMAN FILTER MODEL; MODELING OF DYNAMICS; RECOGNITION OF OBJECTS; ROBUST KALMAN FILTERS; ROBUST SEGMENTATION; VISUAL CORTICAL NEURONS;

CLUTTER (INFORMATION THEORY);

EID: 84899018077     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A.E. Bryson and Y.-C. Ho. Applied Optimal Control New York: John Wiley, 1975.
2. L. Chelazzi, E.K. Miller, J. Duncan, and R. Desimone. A neural basis for visual search in inferior temporal cortex. Nature, 363:345-347, 1993.
3. P. Dayan. An hierarchical model of visual rivalry. In M. Mozer, M. Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems 9, pages 48-54. Cambridge, MA: MIT Press, 1997.
4. A.P. Dempster, N.M. Laird, and D.B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statistical Society Series B, 39:1-38, 1977.
5. R. Desimone and J. Duncan. Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18:193-222, 1995.
6. RJ.Huber. Robust Statistics. New York: John Wiley, 1981.
7. R.E. Kalman. A new approach to linear filtering and prediction theory. Trans. ASMEJ. Basic Eng., 82:35-45, 1960.
8. J. Moran and R. Desimone. Selective attention gates visual processing in the extrastriate cortex. Science, 229:782-784, 1985.
9. W.T. Newsome. Spotlights, highlights and visual awareness. Current Biology, 6(4):357- 360, 1996.
10. E. Niebur and C. Koch. Control of selective visual attention: Modeling the "where" pathway. In D. Touretzky, M. Mozer, and M. Hasselmo, editors, Advances in Neural Information Processing Systems 8, pages 802-808. Cambridge, MA: MIT Press, 1996.
11. B.A. Olshausen, D.C. Van Essen, and C.H. Anderson. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. Journal of Neuroscience, 13:4700-4719, 1993.
12. R.P.N. Rao and D.H. Ballard. The visual cortex as a hierarchical predictor. Technical Report 96.4, National Resource Laboratory for the Study of Brain and Behavior, Department of Computer Science, University of Rochester, September 1996.
13. R.P.N. Rao and D.H. Ballard. Dynamic model of visual recognition predicts neural response properties in the visual cortex. Neural Computation, 9(4):721-763, 1997.
14. S. Treue and J.H.R. Maunsell. Attentional modulation of visual motion processing in cortical areas MT and MST. Nature, 382:539-541, 1996.
15. J.K. Tsotsos, S.M. Culhane, W.Y.K. Wai, Y. Lai, N. Davis, and F. Nuflo. Modeling visual attention via selective tuning. Artificial Intelligence, 78:507-545, 1995.