Divisive normalization, line attractor networks and ideal observers

Advances in Neural Information Processing Systems

Volumn , Issue , 1999, Pages 104-110

  Deneve, Sophie ^a   Pouget, Alexandre ^a   Latham, P E ^b  

^a GEORGETOWN UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTRACTOR NETWORKS; CLOSE APPROXIMATION; CORTICAL LAYERS; MAXIMUM LIKELIHOOD ESTIMATOR; NOISE FILTERING; POPULATION CODING; RECURRENT NETWORKS; STATISTICAL PROPERTIES;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 31944445065     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. D. Heeger. Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9:181-197, 1992.
2. L. Itti, C. Koch, and J. Braun. A quantitative model for human spatial vision threshold on the basis of non-linear interactions among spatial filters. In R. Lippman, J. Moody, and D. Touretzky, editors, Advances in Neural Information Processing Systems, Volume 11. Morgan-Kaufmann, San Mateo, 1998.
3. A. Pouget, K. Zhang, S. Deneve, and P. Latham. Statistically efficient estimation using population coding. Neural Computation, 10:373-401, 1998.
4. E. Simoncelli and D. Heeger. A model of neuronal responses in visual area MT. Vision Research, 38(5):743-761, 1998.