From orientations to objects: Configural processing in the ventral stream

Journal of Vision

Volumn 15, Issue 7, 2015, Pages 1-10

  Wilson, Hugh R ^a   Wilkinson, Frances ^a  

^a YORK UNIVERSITY   (Canada)

Author keywords

Form perception; V4; Ventral pathway

Indexed keywords

HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PHYSIOLOGY; PSYCHOPHYSICS; VISUAL CORTEX; VISUAL SYSTEM;

FORM PERCEPTION; HUMANS; MAGNETIC RESONANCE IMAGING; PSYCHOPHYSICS; VISUAL CORTEX; VISUAL PATHWAYS;

EID: 84930649122     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/15.7.4     Document Type: Article

References (66)

1. Achtman, R. L., Hess, R. F., & Wang, A. (2003). Sensitivity for global shape detection. Journal of Vision, 3(10):4, 616-624, http://www.journalofvision.org/content/3/10/4, doi:10.1167/3.10.4.
2. Anderson, N. D., Habak, C., Wilkinson, F., & Wilson, H. R. (2007). Evaluating shape aftereffects with radial frequency patterns. Vision Research, 47, 298-308.
3. Andrews, T. J., Watson, D. M., Rice, G. E., & Hartley, T. (2015). Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway. Journal of Vision, 15(7): 3, 1-12, http://www.journalofvision.org/content/15/7/3, doi:10.1167/15.7.3.
4. Anzai, A., Peng, X., & VanEssen, D. C. (2007). Neurons in monkey visual area V2 encode combinations of orientations. Nature Neuroscience, 10, 1313-1321.
5. Bar, M. (2007). The proactive brain: Using analogies and associations to generate predictions. Trends in Cognitive Sciences, 11, 280-289.
6. Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., . . . Halgren, E. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences, USA, 103, 449-452.
7. Bartlett, M. S., Movellan, J. R., & Sejnowski, T. J. (2002). Face recognition by independent component analysis. IEEE Trans. Neural Networks, 13, 1450-1464.
8. Bell, J., & Badcock, D. R. (2009). Narrow-band radial frequency shape channels revealed by sub-threshold summation. Vision Research, 49(8), 843-850.
9. Bell, J., Wilkinson, F., Wilson, H. R., Loffler, G., & Badcock, D. R. (2009). Radial frequency adaptation reveals interacting contour shape channels. Vision Research, 49, 2306-2317.
10. Boussaoud, D., Desimone, R., & Ungerleider, L. G. (1991). Visual topography of area TEO in the macaque. Journal of Comparative Neurology, 306, 554-575.
11. Cahalane, D. J., Charvet, C. J., & Finlay, B. L. (2012). Systematic, balancing gradients in neuron density and number across the primate isocortex. Frontiers in Neuroanatomy, 6, 28, doi:10.3389/fnana.2012.00028.
12. Chubb, C., Landy, M. S., & Econopouly, J. (2004). A visual mechanism tuned to black. Vision Research, 44, 3223-3232.
13. Diamantaras, K. I., & Kung, S. Y. (1996). Principal component neural networks. Toronto, Ontario: John Wiley.
14. Dobbins, A., Zucker, S. W., & Cynader, M. S. (1987). Endstopped neurons in the visual cortex as a substrate for calculating curvature. Nature, 329, 438-441.
15. Draper, B. A., Back, K., Bartlett, M. S., & Beveridge, J.R. (2003). Recognizing faces with PCA and ICA. Computer Vision and Image Understanding, 91, 115-137.
16. Elston, G. N. (2002). Cortical heterogeneity: Implications for visual processing and polysensory integration. Journal of Neurocytology, 31, 317-335.
17. Elston, G. N., & Rosa, M. G. P. (1998). Morphological variation of layer III pyramidal neurones in the occipitotemporal pathway of the macaque monkey visual cortex. Cerebral Cortex, 8, 278-294.
18. Field, D. J., Hayes, A., & Hess, R. F. (1993). Contour integration by the human visual system: Evidence for a local "association field." Vision Research, 33, 173-193.
19. Freiwald, W. A., Tsao, D. T., & Livingstone, M. S. (2009). A face feature space in the macaque temporal lobe. Nature Neuroscience , 12, 1187-1196.
20. Gallant, J. L., Braun, J., & VanEssen, D. C. (1993). Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex. Science, 259, 100-103.
21. Gallant, J. L., Connor, C. E., Rakshit, S., Lewis, J. W., & Van Essen, D. C. (1996). Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey. Journal of Neurophysiology, 76, 2718-2739.
22. Gallant, J. L., Shoup, R. E., & Mazer, J. A. (2000). A human extrastriate cortical area that is functionally homologous to macaque area V4. Neuron, 27, 227-235.
23. Gao, X., & Wilson, H. R. (2014). Implicit learning of geometric eigenfaces. Vision Research, 99, 12-18.
24. Glass, L. (1969). Moiré effect from random dots. Nature, 223, 578-580.
25. Habak, C., Wilkinson, F., Zakher, B., & Wilson, H. R. (2004). Curvature population coding for complex shapes in human vision. Vision Research, 44, 2815-2823.
26. Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A. S. J. L., & Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293, 2425-2430.
27. Hegdé, J., & Van Essen, D. C. (2003). Strategies of shape representation in macaque visual area V2. Visual Neuroscience, 20, 313-328.
28. Kanwisher, N., McDermott, J., & Chun, M. M. (1997). The fusiform face area: A module in human extrastriate cortex specialized for face recognition. The Journal of Neuroscience, 17, 4302-4311.
29. Kelly, D. M., Bischof, W. F., Wong-Wylie, D. R., & Spetch, M. L. (2001). Detection of Glass patterns by pigeons and humans: Implications for differences in higher-level processing. Psychological Science, 12, 338-342.
30. Kempgens, C., Loffler, G., & Orbach, H. S. (2013). Setsize effects for sampled shapes: Experiments and model. Frontiers in Computational. Neuroscience, 7, 67.
31. Kobatake, E., & Tanaka, K. (1994). Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. Journal of Neurophysiology, 71, 856-867.
32. Kurki, I., & Saarinen, J. (2004). Shape perception in human vision: Specialized detectors for concentric spatial structures? Neuroscience Letters, 360, 100-102.
33. Landy, M. S. (2014). Texture analysis and perception. In J. S. Werner & L. M. Chalupa (Eds.), The new visual neurosciences (pp. 639-652). Cambridge, MA: MIT Press.
34. Lehky, S. R., Kiani, R., Esteky, H., & Tanaka, C. (2014). Dimensionality of object representations in monkey inferotemporal cortex. Neural Computation, 26, 2135-2162.
35. Lestou, V., Lam, J. M. L., Humphreys, K., Kourtzi, Z., & Humphreys, G. W. (2014). A dorsal visual route necessary for global form perception: Evidence from neuropsychological fMRI. Journal of Cognitive Neuroscience, 26, 621-634.
36. Leuba, G., & Kraftsik, R. (1994). Changes in volume, surface estimate, three-dimensional shape and total number of neurons of the human primary visual cortex from midgestation until old age. Journal of Anatomy and Embryology, 190, 351-366.
37. Loffler, G. (2008). Perception of contours and shapes: Low and intermediate stage mechanisms. Vision Research, 48, 2106-2127.
38. Loffler, G. (2015). Probing intermediate stages of shape processing. Journal of Vision, 15(7):1, 1-19, http://www.journalofvision.org/content/15/7/1, doi:10.1167/15.7.1.
39. Loffler, G., Wilson, H. R., & Wilkinson, F. (2003). Local and global contributions to shape discrimination. Vision Research, 43, 519-530.
40. Miller, D. J., Balaram, P., Young, N. A., & Kaas, J. H. (2014). Three counting methods agree on cell and neuron number in chimpanzee primary visual cortex. Frontiers in Neuroanatomy, 8(36), 1-11.
41. Nakamura, H., Gattass, R., Desimone, R., & Ungerleider, L. G. (1993). The modular organization of projections from areas V1 and V2 to areas V4 and TEO in macaques. The Journal of Neuroscience, 13, 3681-3691.
42. Nichols, D. F., Betts, L. R., & Wilson, H. R. (2010). Decoding of faces and face components in facesensitive human visual cortex. Frontiers in Psychology, 1(28), 1-13.
43. O'Toole, A. J., Jiang, F., Abdi, H., & Haxby, J. V. (2005). Partially distributed representations of objects and faces in ventral temporal cortex. Journal of Cognitive Neuroscience, 17, 580-590.
44. Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
45. Op de Beeck, H., & Vogels, R. (2000). Spatial sensitivity of macaque inferior temporal neurons. Journal of Comparative Neurology, 426, 505-518.
46. Osadchy, M., LeCun, Y., & Miller, M. L. (2007). Synergistic face detection and pose estimation with energy-based models. Journal of Machine Learning Research, 8, 1197-1215.
47. Ostwald, D., Lam, J. M., Li, S., & Kourtzi, Z. (2008). Neural coding of global form in human visual cortex. Journal of Neurophysiology, 99, 2456-2469.
48. Pasupathy, A., & Connor, C. E. (1999). Responses to contour features in macaque area V4. Journal of Neurophysiology, 82, 2490-2502.
49. Pasupathy, A., & Connor, C. E. (2001). Shape representation in area V4: Position-specific tuning for boundary conformation. Journal of Neurophysiology, 86, 2505-2519.
50. Pasupathy, A., & Connor, C. E. (2002). Population coding of shape in area V4. Nature Neuroscience, 5, 1332-1338.
51. Pei, F., Pettet, M. W., Vildaviski, V. Y., & Norcia, A.M. (2005). Event related potentials show configural specificity of global form processing. NeuroReport, 16, 1427-1430.
52. Poirier, F. J., & Wilson, H. R. (2006). A Biologically Plausible Model of Human Radial Frequency Perception. Vision Research, 46, 2443-2455.
53. Rodieck, R. W. (1998). The first steps in seeing. Sunderland, MA: Sinauer Associates.
54. Schmidtmann, G., Gordon, G. E., Bennett, D. M., & Loffler, G. (2013). Detecting shapes in noise: Tuning characteristics of global shape mechanisms. Frontiers in Computational Neuroscience, 7(37), 1-14.
55. Seu, L., & Ferrera, V. P. (2001). Detection thresholds for spiral glass patterns. Vision Research, 41, 3785-3790.
56. Tsao, D. Y., Freiwald, W. A., Tootell, R. B., & Livingstone, M. S. (2006). A cortical region consisting entirely of face-selective cells. Science, 311, 670-674.
57. VanEssen, D. C., Anderson, C. H., & Felleman, D. J. (1992). Information processing in the primate visual system: An integrated systems perspective. Science, 255, 419-423.
58. Wang, L., Mruczek, R. E., Acaro, M. J., & Kastner, S. (2014). Probabilistic maps of visual topography in human cortex. Cerebral Cortex, 1-21.
59. Wilkinson, F., James, T. W., Wilson, H. R., Gati, J. S., Menon, R. S., & Goodale, M. A. (2000). Radial and concentric gratings selectively activate human extrastriate form areas: An fMRI study. Current Biology, 10, 1455-1458.
60. Wilkinson, F., Wilson, H. R., & Habak, C. (1998). Detection and recognition of radial frequency patterns. Vision Research, 38, 3555-3568.
61. Wilson, H. R. (1999). Non-Fourier cortical processes in texture, form, and motion perception. In P. S.Ulinski & E. G. Jones (Eds.), Cerebral cortex, 13: Models of cortical circuitry (pp. 445-477). New York: Plenum.
62. Wilson, H. R., McFarlane, D. K., & Phillips, G. C. (1983). Spatial frequency tuning of orientation selective units estimated by oblique masking. Vision Research, 23, 873-882.
63. Wilson, H. R., & Propp, R. (in press). Detection and recognition of angular frequency patterns. Vision Research.
64. Wilson, H. R., & Wilkinson, F. (1998). Detection of global structure in Glass patterns: Implications for form vision. Vision Research, 38, 2933-2947.
65. Wilson, H. R., & Wilkinson, F. (2014). Configural pooling in the ventral pathway. In J. S. Werner & L. Chalupa (Eds.), The new visual neurosciences (pp. 617-626). Cambridge, MA: MIT Press.
66. Wilson, H. R., Wilkinson, F., & Asaad, W. (1997). Concentric orientation summation in human form vision. Vision Research, 37, 2325-2330.