Doubly distributional population codes: Simultaneous representation of uncertainty and multiplicity

Neural Computation

Volumn 15, Issue 10, 2003, Pages 2255-2279

  Sahani, Maneesh ^a   Dayan, Peter ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; CENTRAL NERVOUS SYSTEM; HUMAN; NERVE CELL; PERCEPTION; PHYSIOLOGY; SIGNAL TRANSDUCTION; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; UNCERTAINTY;

ACTION POTENTIALS; ANIMALS; ARTIFACTS; CENTRAL NERVOUS SYSTEM; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; PERCEPTION; SIGNAL TRANSDUCTION; STATISTICAL DISTRIBUTIONS; UNCERTAINTY;

EID: 0042362095     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976603322362356     Document Type: Article

References (33)

1. Andersen, C. H. (1994). Basic elements of biological computational systems. Int. J. of Mod. Phys., 5(2), 135-137.
2. Ashby, F. G., Prinzmetal, W., Ivry, R., & Maddox, W. T. (1996). A formal theory of feature binding in object perception. Psychol. Rev., 103(1), 165-192.
3. Atkins, J. E., Fiser, J., & Jacobs, R. A. (2001). Experience-dependent visual cue integration based on consistencies between visual and haptic percepts. Vision Res., 41(4), 449-461.
4. Baldi, P., & Heiligenberg, W. (1988). How sensory maps could enhance resolution through ordered arrangements of broadly tuned receivers. Biol. Cybern., 59(4-5), 313-318.
5. Brainard, M. S., & Knudsen, E. I. (1993). Experience-dependent plasticity in the inferior colliculus: A site for visual calibration of the neural representation of auditory space in the barn owl. J. Neurosci., 13(11), 4589-4608.
6. Dayan, P., & Abbott, L. (2001). Theoretical neuroscience. Cambridge, MA: MIT Press.
7. Deneve, S., Latham, P. E., & Pouget, A. (2001). Efficient computation and cue integration with noisy population codes. Nat. Neurosci., 4(8), 826-831.
8. Ernst, M. O., & Banks, M. S. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415(6870), 429-433.
9. Eurich, C. W., & Wilke, S. D. (2000). Multidimensional encoding strategy of spiking neurons. Neural Comput., 12(7), 1519-1529.
10. Feng, A. S., & Ratnam, R. (2000). Neural basis of hearing in real-world situations. Annu. Rev. Psychol., 51, 699-725.
11. Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986). Neuronal population coding of movement direction. Science, 233(4771), 1416-1419.
12. Hinton, G. E. (1984). Distributed representations (Tech. Rep. CMU-CS-84-157). Pittsburgh: Computer Science Department, Carnegie-Mellon University.
13. Horn, B. K. P., & Schunck, B. G. (1981). Determining optical flow. Artificial Intelligence, 17(1-3), 185-203.
14. Hubel, D. H., & Wiesel, T. N. (1968). Receptive fields and functional architecture of monkey striate cortex. J. Physiol., 195(1), 215-243.
15. Hyde, P. S., & Knudsen, E. I. (2002). The optic tectum controls visually guided adaptive plasticity in the owl's auditory space map. Nature, 415(6867), 73-76.
16. Knudsen, E. I., & Brainard, M. S. (1991). Visual instruction of the neural map of auditory space in the developing optic tectum. Science, 253(5015), 85-87.
17. Pack, C. C., & Born, R. T. (2001). Temporal dynamics of a neural solution to the aperture problem in visual area MT of macaque brain. Nature, 409(6823), 1040-1042.
18. Paradiso, M. A. (1988). A theory for the use of visual orientation information which exploits the columnar structure of striate cortex. Biol. Cybern., 58(1), 35-49.
19. Pouget, A., Dayan, P., & Zemel, R. (2000). Information processing with population codes. Nat. Rev. Neurosci., 1(2), 125-132.
20. Pouget, A., Deneve, S., Ducom, J. C., & Latham, P. E. (1999). Narrow versus wide tuning curves: What's best for a population code? Neural Comput., 11(1), 85-90.
21. Ramachandran, V. S., & Anstis, S. M. (1985). Perceptual organization in multistable apparent motion. Perception, 14(2), 135-143.
22. Saberi, K., Takahashi, Y., Farahbod, H., & Konishi, M. (1999). Neural bases of an auditory illusion and its elimination in owls. Nat. Neurosci., 2(7), 656-659.
23. Saunders, J. A., & Knill, D. C. (2001). Perception of 3D surface orientation from skew symmetry. Vision Res., 41(24), 3163-3183.
24. Seung, H. S., & Sompolinsky, H. (1993). Simple models for reading neuronal population codes. Proc. Natl. Acad. Sci. USA, 90, 10749-10753.
25. Snippe, H. P., & Koenderink, J. J. (1992). Information in channel-coded systems: correlated receivers. Biol. Cybern., 67(2), 183-190.
26. Takahashi, T. T., & Keller, C. H. (1994). Representation of multiple sound sources in the owl's auditory space map. J. Neurosci., 14(8), 4780-4793.
27. Treue, S., Hol, K., & Rauber, H. J. (2000). Seeing multiple directions of motion physiology and psychophysics. Nat. Neurosci., 3(3), 270-276.
28. Vapnik, V. (1998). Statistical learning theory. New York: Wiley.
29. Weiss, Y., & Adelson, E. H. (1998). Slow and smooth: A Bayesian theory for the combination of local motion signals in human vision (AI Memo 1624). Cambridge, MA: MIT.
30. Wilke, S. D., & Eurich, C. W. (2002). Representational accuracy of stochastic neural populations. Neural Comput., 14(1), 155-189.
31. Zemel, R. S., & Dayan, P. (2000). Distributional population codes and multiple motion models. In Advances in neural information processing systems, 11. Cambridge, MA: MIT Press.
32. Zemel, R. S., Dayan, P., & Pouget, A. (1998). Probabilistic interpretation of population codes. Neural Comput., 10(2), 403-430.
33. Zhang, K., & Sejnowski, T. J. (1999). Neuronal tuning: To sharpen or broaden? Neural Comput., 11(1), 75-84.