Neural representations that support invariant object recognition

Frontiers in Computational Neuroscience

Volumn 3, Issue FEB, 2009, Pages

  Goris, Robbe L T ^a   Op de Beeck, Hans P ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Inferior temporal cortex; Multidimensional tuning; Object recognition; Population coding

Indexed keywords

INFERIOR TEMPORAL CORTICES; INVARIANT OBJECT RECOGNITION; INVARIANT REPRESENTATION; LINEAR CLASSIFIERS; NEURAL MECHANISMS; NEURAL REPRESENTATIONS; POPULATION CHARACTERISTICS; POPULATION CODING;

BRAIN;

OBJECT RECOGNITION;

EID: 78349260264     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.10.003.2009     Document Type: Article

References (57)

1. Ashby, F. G., and Townsend, J. T. (1986). Varieties of perceptual independence. Psychol. Rev. 93, 154-179.
2. Beck, J., Ma, W. J., Latham, P. E., and Pouget, A. (2007). Probabilistic population codes and the exponential family of distributions. Prog. Brain Res. 165, 509-519.
3. Ben-Yishai, R., Bar-Or, R. L., and Sompolinsky, H. (1995). Theory of orientation tuning in visual cortex. Proc. Natl. Acad. Sci. U.S.A. 92, 3844-3848.
4. Biederman, I. (1987). Recognition-bycomponents: a theory of human image understanding. Psychol. Rev. 94, 115-147.
5. Biederman, I., and Bar, M. (2000). Differing views on views: response to Hayward and Tarr (2000). Vision Res. 40, 3901-3905.
6. Cox, D. D., and Savoy, R. L. (2003). Functional magnetic resonance imaging (fMRI) 'brain reading': detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 19, 261-270.
7. Desimone, R., Albright, T. D., Gross, C. G., and Bruce, C. (1984). Stimulusselective properties of inferior temporal neurons in the macaque. J. Neurosci. 4, 2051-2062.
8. Desimone, R., and Gross, C. G. (1979). Visual areas in the temporal cortex of the macaque. Brain Res. 178, 363-380.
9. DiCarlo, J. J., and Cox, D. D. (2007). Untangling invariant object recognition. Trends Cogn. Sci. 11, 333-341.
10. DiCarlo, J. J., and Maunsell, J. H. (2003). Anterior inferotemporal neurons of monkeys engaged in object recognition can be highly sensitive to object retinal position. J. Neurophysiol. 89, 3264-3278.
11. Edelman, S., and Intrator, N. (2000). (Coarse coding of shape fragments) (retinotopy) approximately = representation of structure. Spat. Vis. 13, 255-264.
12. Gawne, T. J., and Richmond, B. J. (1993). How independent are the messages carried by adjacent inferior temporal cortical neurons? J. Neurosci. 13, 2758-2771.
13. Golledge, H. D., Panzeri, S., Zheng, F., Pola, G., Scannell, J. W., Giannikopoulos, D. V., Mason, R. J., Tovee, M. J., and Young, M. P. (2003). Correlations, feature-binding and population coding in primary visual cortex. Neuroreport 14, 1045-1050.
14. Gross, C. G., Bender, D. B., and Rocha-Miranda, C. E. (1969). Visual receptive fields of neurons in inferotemporal cortex of the monkey. Science 166, 1303-1306.
15. Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., and Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430.
16. Haynes, J. D., and Rees, G. (2006). Decoding mental states from brain activity in humans. Nat. Rev. Neurosci. 7, 523-534.
17. Hung, C. P., Kreiman, G., Poggio, T., and DiCarlo, J. J. (2005). Fast readout of object identity from macaque inferior temporal cortex. Science 310, 863-866.
18. Ito, M., Tamura, H., Fujita, I., and Tanaka, K. (1995). Size and position invariance of neuronal responses in monkey inferotemporal cortex. J. Neurophysiol. 73, 218-226.
19. Jones, J. P., Stepnoski, A., and Palmer, L. A. (1987). The two-dimensional spectral structure of simple receptive fields in cat striate cortex. J. Neurophysiol. 58, 1212-1232.
20. Kamitani, Y., and Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685.
21. Kayaert, G., Biederman, I., Op de Beeck, H. P., and Vogels, R. (2005). Tuning for shape dimensions in macaque inferior temporal cortex. Eur. J. Neurosci. 22, 212-224.
22. Khotanzad, A., and Hong, Y. H. (1990). Invariant image recognition by Zernike moments. IEEE Trans. Pattern Anal. Mach. Intell. 12, 489-497.
23. Kravitz, D. J., Vinson, L. D., and Baker, C. I. (2008). How position dependent is visual object recognition? Trends Cogn. Sci. 12, 114-122.
24. Logothetis, N. K., and Pauls, J. (1995). Psychophysical and physiological evidence for viewer-centered object representations in the primate. Cereb. Cortex 5, 270-288.
25. Logothetis, N. K., Pauls, J., Bulthoff, H. H., and Poggio, T. (1994). View-dependent object recognition by monkeys. Curr. Biol. 4, 401-414.
26. Logothetis, N. K., and Sheinberg, D. L. (1996). Visual object recognition. Annu. Rev. Neurosci. 19, 577-621.
27. Lowe, D. G. (1999). Object recognition from local scale-invariant features. In Proceedings of the Seventh International Conference on Computer Vision, Vol. 2, Corfu, Greece, pp. 1150-1157.
28. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 91-110.
29. Marr, D., and Nishihara, H. K. (1978). Representation and recognition of the spatial organization of threedimensional shapes. Proc. R. Soc. Lond. B Biol. Sci. 200, 269-294.
30. Mazer, J. A., Vinje, W. E., McDermott, J., Schiller, P. H., and Gallant, J. L. (2002). Spatial frequency and orientation tuning dynamics in area V1. Proc. Natl. Acad. Sci. U.S.A. 99, 1645-1650.
31. McAdams, C. J., and Maunsell, J. H. (1999). Effects of attention on orientationtuning functions of single neurons in macaque cortical area V4. J. Neurosci. 19, 431-441.
32. McKone, E. (2009). Holistic processing for faces operates over a wide range of sizes but is strongest at identification rather than conversational distances. Vision Res. 49, 268-283.
33. Mundy, J. L., and Zisserman, A. (1992). Geometric invariance in computer vision. Cambridge, MA, The MIT Press.
34. Norman, K. A., Polyn, S. M., Detre, G. J., and Haxby, J. V. (2006). Beyond mindreading: multi-voxel pattern analysis of fMRI data. Trends Cogn. Sci. 10, 424-430.
35. Op de Beeck, H., and Vogels, R. (2000). Spatial sensitivity of macaque inferior temporal neurons. J. Comp. Neurol. 426, 505-518.
36. Op de Beeck, H. P., Deutsch, J. A., Vanduffel, W., Kanwisher, N. G., and DiCarlo, J. J. (2008a). A stable topography of selectivity for unfamiliar shape classes in monkey inferior temporal cortex. Cereb. Cortex 18, 1676-1694.
37. Op de Beeck, H. P., Wagemans, J., and Vogels, R. (2008b). The representation of perceived shape similarity and its role for category learning in monkeys: a modelling study. Vision Res. 48, 598-610.
38. Pelli, D. G. (1999). Close encounters-an artist shows that size affects shape. Science 285, 844-846.
39. Perrett, D. I., Rolls, E. T., and Caan, W. (1982). Visual neurones responsive to faces in the monkey temporal cortex. Exp. Brain Res. 47, 329-342.
40. Pinto, N., Cox, D. D., and DiCarlo, J. J. (2008). Why is real-world visual object recognition hard? PLoS Comput. Biol. 4, e27.
41. Poggio, T., and Edelman, S. (1990). A network that learns to recognize three-dimensional objects. Nature 343, 263-266.
42. Pouget, A., Dayan, P., and Zemel, R. (2000). Information processing with population codes. Nat. Rev. Neurosci. 1, 125-132.
43. Pouget, A., Deneve, S., Ducom, J. C., and Latham, P. E. (1999). Narrow versus wide tuning curves: what's best for a population code? Neural Comput. 11, 85-90.
44. Robbins, R., and McKone, E. (2003). Can holistic processing be learned for inverted faces? Cognition 88, 79-107.
45. Roudi, Y., and Treves, A. (2008). Representing where along with what information in a model of a cortical patch. PLoS Comput. Biol. 4, e1000012.
46. Salinas, E. (2006). How behavioural constraints may determine optimal sensory representations. PLoS Biol. 4, 2383-2392.
47. Sary, G., Vogels, R., and Orban, G. A. (1993). Cue-invariant shape selectivity of macaque inferior temporal neurons. Science 260, 995-997.
48. Schoups, A., Vogels, R., Qian, N., and Orban, G. (2001). Practising orientation identification improves orientation coding in V1 neurons. Nature 412, 549-553.
49. Schwarzlose, R. F., Swisher, J. D., Dang, S., and Kanwisher, N. (2008). The distribution of category and location information across object-selective regions in human visual cortex. Proc. Natl. Acad. Sci. U.S.A. 105, 4447-4452.
50. Series, P., Latham, P. E., and Pouget, A. (2004). Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Nat. Neurosci. 7, 1129-1135.
51. Shadlen, M. N., Britten, K. H., Newsome, W. T., and Movshon, J. A. (1996). A computational analysis of the relationship between neuronal and behavioural responses to visual motion. J. Neurosci. 16, 1486-1510.
52. Shadlen, M. N., and Newsome, W. T. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 18, 3870-3896.
53. Torres-Mendez, L. A., Ruiz-Suarez, J. C., Sucar, L. E., and Gomez, G. (2000). Translation, rotation, and scale-invariant object recognition. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 30, 125-130.
54. Tovee, M. J., Rolls, E. T., and Azzopardi, P. (1994). Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque. J. Neurophysiol. 72, 1049-1060.
55. Vogels, R., and Orban, G. A. (1996). Coding of stimulus invariances by inferior temporal neurons. Prog. Brain Res. 112, 195-211.
56. Zoccolan, D., Kouh, M., Poggio, T., and DiCarlo, J. J. (2007). Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. J. Neurosci. 27, 12292-12307.
57. Zohary, E., Shadlen, M. N., and Newsome, W. T. (1994). Correlated neuronal discharge rate and its implications for psychophysical performance. Nature 370, 140-143.