Narrow versus wide tuning curves: What's best for a population code?

Neural Computation

Volumn 11, Issue 1, 1999, Pages 85-90

  Pouget, Alexandre ^a   Deneve, Sophie ^a   Ducom, Jean Christophe ^a   Latham, Peter E ^b  

^a GEORGETOWN UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; NERVE CELL; PHYSIOLOGY;

ANIMALS; ARTIFACTS; MODELS, NEUROLOGICAL; NEURONS;

EID: 0032617659     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016818     Document Type: Article

References (13)

1. Brunel, N., & Nadal, J. P. (1998). Mutual information, Fisher information and population coding. Neural Computation, In press.
2. Fitzpatrick, D. C., Batra, R., Stanford, T. R., & Kuwada, S. (1997). A neuronal population code for sound localization. Nature, 388, 871-874.
3. Hinton, G. E., McClelland, J. L., & Rumelhart, D. E. (1986). Distributed representations. In D. E. Rumelhart, J. L. McClelland, & the PDP Research Group (Eds.), Parallel distributed processing (Vol. 1, pp. 318-362). Cambridge, MA: MIT Press.
4. McAdams, C. J., & Maunsell, J. R. H. (1996). Attention enhances neuronal responses without altering orientation selectivity in macaque area V4. Society for Neuroscience Abstracts, 22.
5. Paradiso, M. A. (1988). A theory of the use of visual orientation information which exploits the columnar structure of striate cortex. Biological Cybernetics, 58, 35-49.
6. Pouget, A., & Zhang, K. (1996). A statistical perspective on orientation selectivity in primary visual cortex. Society for Neuroscience Abstracts, 22, 1704.
7. Pouget, A., Zhang, K., Deneve, S., & Latham, P. E. (1998). Statistically efficient estimation using population coding. Neural Computation, 10, 373-401.
8. Ringach, D. L., Hawken, M. J., & Shapley, R. (1997). Dynamics of orientation tuning in macaque primary visual cortex. Nature, 387, 281-284.
9. Seung, H. S., & Sompolinsky, H. (1993). Simple model for reading neuronal population codes. Proceedings of National Academy of Sciences, USA, 90, 10749-10753.
10. Shannon, E., & Weaver, W. (1963). The mathematical theory of communication. Urbana: University of Illinois Press.
11. Snippe, H. P. (1996). Parameter extraction from population codes: A critical assessment. Neural Computation, 8, 511-530.
12. Spitzer, H., Desimone, R., & Moran, J. 1988. Increased attention enhances both behavioral and neuronal performance. Science, 240, 338-340.
13. Zhang, K., & Sejnowski, T. J. (1999). Neuronal tuning: To sharpen or broaden?. Neural Computation, 11, 75-84.