A recurrent model of contour integration in primary visual cortex

Journal of Vision

Volumn 8, Issue 8, 2008, Pages

  Hansen, Thorsten ^a   Neumann, Heiko ^b  

^a JUSTUS LIEBIG UNIVERSITY   (Germany)

^b UNIVERSITY OF ULM   (Germany)

Author keywords

Contour grouping; Long range interaction; Neural model; Perceptual organization; Primary visual cortex; Recurrent processing; Shape and contour

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; FEEDBACK SYSTEM; HUMAN; METHODOLOGY; NERVE CELL; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; VISUAL CORTEX; VISUAL SYSTEM;

COMPUTER SIMULATION; FEEDBACK; FORM PERCEPTION; HUMANS; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; NEURONS; PHOTIC STIMULATION; VISUAL CORTEX; VISUAL PATHWAYS;

EID: 45349108863     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/8.8.8     Document Type: Article

References (104)

1. Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A, Optics and Image Science, 2, 284-299. [PubMed]
2. Allman, J., Miezin, F., & McGuinness, E. (1985). Stimulus specific responses from beyond the classical receptive field: Neurophysiological mechanisms for local-global comparisons in visual neurons. Annual Review of Neuroscience, 8, 407-430. [PubMed]
3. Amir, Y., Harel, M., & Malach, R. (1993). Cortical hierarchy reflected in the organization of intrinsic connections in macaque monkey visual cortex. Journal of Comparative Neurology , 334, 19-46. [PubMed]
4. Batschelet, E. (1981). Circular statistics in biology. London: Academic Press.
5. Bayerl, P., & Neumann, H. (2004). Disambiguating visual motion through contextual feedback modulation. Neural Computation, 16, 2041-2066. [PubMed]
6. Bayerl, P., & Neumann, H. (2007). A neural model of feature attention in motion perception. Biosystems, 89, 208-215. [PubMed]
7. Ben-Shahar, O., & Zucker, S. (2004). Geometrical computations explain projection patterns of longrange horizontal connections in visual cortex. Neural Computation, 16, 445-476. [PubMed]
8. Biederman, I. (1985). Human image understanding: Recent research and a theory. Computer Vision, Graphics, and Image Processing, 32, 29-73.
9. Bolz, J., Gilbert, C. D., & Wiesel, T. N. (1989). Pharmacological analysis of cortical circuitry. Trends in Neurosciences, 12, 292-296. [PubMed]
10. Bosking, W. H., Zhang, Y., Schofield, B., & Fitzpatrick, D. (1997). Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. Journal of Neuroscience, 17, 2112-2127. [PubMed] [Article]
11. Buzás, P., Eysel, U. T., & Kisvárday, Z. F. (1998). Functional topography of single cortical cells: An intracellular approach combined with optical imaging. Brain Research, 3, 199-208. [PubMed]
12. Cardanobile, S., Cohen, M., Corchs, S., Mugnolo, D., & Neumann, H. (2008). Investigation of input-output gain in dynamical systems for neural information processing. In W. Arendt & W. Schleich (Eds.), Mathematical analysis of evolution, information and complexity (pp. 169-184). Weinheim, Germany: Wiley-VCH.
13. Chen, T., Lu, W., & Chen, G. (2005). Dynamical behaviors of a large class of general delayed neural networks. Neural Computation, 17, 949-968.
14. Cohen, M., & Grossberg, S. (1983). Absolute stability and global pattern formation and parallel memory storage by competitive neural networks. IEEE Transactions on Systems, Man, and Cybernetics, 13, 815-826.
15. DeAngelis, G. C., Freeman, R. D., & Ohzawa, I. (1994). Length and width tuning of neurons in the cat's primary visual cortex. Journal of Neurophysiology, 71, 347-374. [PubMed]
16. Enroth-Cugell, C., & Robson, J. G. (1966). The contrast sensitivity of retinal ganglion cells of the cat. The Journal of Physiology, 187, 517-552. [PubMed] [Article]
17. Fechner, G. T. (1889). Elemente der Psychophysik. Leipzig, Germany: Breitkopf & Härtel.
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. [PubMed]
19. Finkel, L. H., & Edelman, G. M. (1989). Integration of distributed cortical systems by reentry: A computer simulation of interactive functionally segregated visual areas. Journal of Neuroscience, 9, 3188-3208. [PubMed] [Article]
20. Finkel, L. H., & Sajda, P. (1992). Object discrimination based on depth-from-occlusion. Neural Computation, 4, 901-921.
21. Fischer, S., Cristobal, G., & Redondo, R. (2006). Sparse overcomplete Gabor wavelet representation based on local competitions. IEEE Transactions on Image Processing, 15, 265-272. [PubMed]
22. Fischer, S., Cristobal, G., & Redondo, R. (2007). Sparse approximation of images inspired from the functional architecture of the primary visual areas. EURASIP Journal on Advances in Signal Processing, 90727, 1-16.
23. Gilbert, C. D. (1992). Horizontal integration and cortical dynamics. Neuron, 9, 1-13. [PubMed]
24. Gilbert, C. D. (1993). Circuitry, architecture, and functional dynamics of visual cortex. Cerebral Cortex, 3, 373-386. [PubMed]
25. Gilbert, C. D., Das, A., Ito, M., Kapadia, M., & Westheimer, G. (1996). Spatial integration and cortical dynamics. Proceedings of the National Academy of Sciences of the United States of America, 93, 615-622. [PubMed] [Article]
26. Gilbert, C. D., & Wiesel, T. N. (1983). Clustered intrinsic connections in cat visual cortex. Journal of Neuroscience, 3, 1116-1133. [PubMed] [Article]
27. Gilbert, C. D., & Wiesel, T. N. (1989). Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. Journal of Neuroscience, 9, 2432-2442. [PubMed] [Article]
28. Gilbert, C. D., & Wiesel, T. N. (1990). The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat. Vision Research, 30, 1689-1701. [PubMed]
29. Graham, D. J., Chandler, D. M., & Field, D. J. (2006). Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields? Vision Research, 46, 2901-2913. [PubMed] [Article]
30. Grossberg, S., (1973). Contour enhancement, short term memory, and constancies in reverberating neural networks. Studies in Applied Mathematics, 52, 217-257.
31. Grossberg, S., (1981). Adaptive resonance in development, perception and cognition. In S. Grossberg (Ed.), Mathematical psychology and psychopysiology. Providence, RI: American Mathematical Society.
32. Grossberg, S., & Hong, S. (2006). A neural model of surface perception: Lightness, anchoring, and fillingin. Spatial Vision, 19, 263-321. [PubMed]
33. Grossberg, S., Kuhlmann, L., & Mingolla, E. (2007). A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface fillingin. Vision Research, 47, 634-672. [PubMed]
34. Grossberg, S., & Mingolla, E. (1985a). Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading. Psychological Review, 92, 173-211. [PubMed]
35. Grossberg, S., & Mingolla, E. (1985b). Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations. Perception& Psychophysics, 38, 141-171. [PubMed]
36. Grossberg, S., Mingolla, E., & Ross, W. D. (1997). Visual brain and visual perception: How does the cortex do perceptual grouping? Trends in Neurosciences, 20, 106-111. [PubMed]
37. Grossberg, S., Mingolla, E., & Williamson, J. R. (1995). Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation. Neural Networks, 8, 1005-1028.
38. Grossberg, S., & Raizada, R. D. (2000). Contrast-sensitive perceptual grouping and object-based attention in the laminar circuits of primary visual cortex. Vision Research, 40, 1413-1432. [PubMed]
39. Grossberg, S., & Williamson, J. R. (2001). A neural model of how horizontal and interlaminar connections of visual cortex develop into adult circuits that carry out perceptual grouping and learning. Cerebral Cortex, 11, 37-58. [PubMed] [Article]
40. Guo, S., & Huang, L. (2006). Stability analysis of Cohen-Grossberg neural networks. IEEE Transactions on Neural Networks, 17, 106-117. [PubMed]
41. Guy, G., & Medioni, G. (1996). Inferring global perceptual contours from local features. International Journal of Computer Vision, 20, 113-133.
42. Hansen, T., & Neumann, H. (2004a). A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks, 17, 647-662. [PubMed]
43. Hansen, T., & Neumann, H. (2004b). Neural mechanisms for the robust representation of junctions. Neural Computation, 16, 1013-1037. [PubMed]
44. Hansen, T., Sepp, W., & Neumann, H. (2001). Recurrent long-range interactions in early vision. In S. Wermter, J. Austin, & D. Willshaw (Eds.), Emerging neural architectures based on neuroscience, LNCS/ LNAI 2036 (pp. 127-138). Berlin, Germany: Springer.
45. Hegdé, J., & Van Essen, D. C. (2000). Selectivity for complex shapes in primate visual area V2. Journal of Neuroscience, 20, RC61. [PubMed] [Article]
46. Hegdeé, J., & Van Essen, D. C. (2003). Strategies of shape representation in macaque visual area V2. Visual Neuroscience, 20, 313-328. [PubMed]
47. Hegdeé, J., & Van Essen, D. C. (2007). A comparative study of shape representation in macaque visual areas V2 and V4. Cerebral Cortex, 17, 1100-1116. [PubMed] [Article]
48. Heitger, F., von der Heydt, R., Peterhans, E., Rosenthaler, L., & Kübler, O. (1998). Simulation of neural contour mechanisms: Representing anomalous contours. Image and Vision Computing, 16, 407-421.
49. Hirsch, J. A., & Gilbert, C. D. (1991). Synaptic physiology of horizontal connections in the cat's visual cortex. Journal of Neuroscience, 11, 1800-1809. [PubMed] [Article]
50. Hong, S., & Grossberg, S. (2004). A neuromorphic model for achromatic and chromatic surface representation of natural images. Neural Networks, 17, 787-808. [PubMed]
51. Hubel, D. H., & Wiesel, T. N. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of Physiology, 160, 106-154. [PubMed] [Article]
52. Hubel, D. H., & Wiesel, T. N. (1968). Receptive fields and functional architecture of monkey striate cortex. The Journal of Physiology, 195, 215-243. [PubMed] [Article]
53. Hupé, J. M., James, A. C., Payne, B. R., Lomber, S. G., Girard, P., & Bullier, J. (1998). Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons. Nature, 394, 784-787. [PubMed]
54. Kapadia, M. K., Ito, M., Gilbert, C. D., & Westheimer, G. (1995). Improvement in visual sensitivity by changes in local context: Parallel studies in human observers and in V1 of alert monkeys. Neuron, 15, 843-856. [PubMed]
55. Kapadia, M. K., Westheimer, G., & Gilbert, C. D. (2000). Spatial distribution of contextual interactions in primary visual cortex and in visual perception. Journal of Neurophysiology, 84, 2048-2062. [PubMed] [Article]
56. Kisvárday, Z. F., Kim, D. S., Eysel, U. T., & Bonhoeffer, T. (1994). Relationship between lateral inhibitory connections and the topography of the orientation map in cat visual cortex. European Journal of Neuroscience, 6, 1619-1632. [PubMed]
57. Knierim, J. J., & van Essen, D. C. (1992). Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. Journal of Neurophysiology, 67, 961-980. [PubMed]
58. Kuffler, S. W. (1953). Discharge patterns and functional organization of mammalian retina. Journal of Neurophysiology, 16, 37-68. [PubMed]
59. Lamme, V. A. (1995). The neurophysiology of figureground segregation in primary visual cortex. Journal of Neuroscience, 15, 1605-1615. [PubMed] [Article]
60. Lamme, V. A., & Spekreijse, H. (2000). Modulations of primary visual cortex activity representing attentive and conscious scene perception. Frontiers in Bioscience, 5, D232-D243. [PubMed]
61. Li, W., Piëch, V., & Gilbert, C. D. (2006). Contour saliency in primary visual cortex. Neuron, 50, 951-962. [PubMed] [Article]
62. Li, Z. (1998). A neural model of contour integration in the primary visual cortex. Neural Computation, 10, 903-940. [PubMed]
63. Li, Z. (1999a). Contextual influences in V1 as a basis for pop out and asymmetry in visual search. Proceedings of the National Academy of Sciences of the United States of America, 96, 10530-10535. [PubMed] [Article]
64. Li, Z. (1999b). Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex. Network, 10, 187-212. [PubMed]
65. Li, Z. (2000a). Can V1 mechanisms account for figureground and medial axis effects. In Advances in neural information processing systems 12 (NIPS'99). Cambridge, MA: MIT Press.
66. Li, Z. (2000b). Pre-attentive segmentation in the primary visual cortex. Spatial Vision, 13, 25-50. [PubMed]
67. Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30, 77-116.
68. Lu, W., & Chen, T. (2003). New conditions on global stability of Cohen-Grossberg neural networks. Neural Computation, 15, 1173-1189. [PubMed]
69. Malach, R., Amir, Y., Harel, M., & Grinvald, A. (1993). Relationship between intrinsic connections and functional architecture revealed by optical imaging and in vivo targeted biocytin injections in primate striate cortex. Proceedings of the National Academy of Sciences of the United States of America, 90, 10469-10473. [PubMed] [Article]
70. Marr, D. (1982). Vision. San Francisco: W. H. Freeman.
71. Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proceedings of the Royal Society of London B: Biological Sciences, 207, 187-217. [PubMed]
72. Mokhtarian, F., & Suomela, R. (1998). Robust image corner detection through curvature scale space. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 1376-1381.
73. Neumann, H., & Mingolla, E. (2001). Computational neural models of spatial integration and perceptual grouping. In T. F. Shipley & P. J. Kellman (Eds.), From fragments to objects: Segmentation and grouping Journal of Vision (2008) 8(8):8, 1-25 Hansen & Neumann 23 in vision: Vol. 1300. Advances in psychology (chap. 12, pp. 353-400). Amsterdam, The Netherlands: Elsevier Science.
74. Neumann, H., Pessoa, L., & Hansen, T. (1999). Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics, 81, 515-532. [PubMed]
75. Neumann, H., & Sepp, W. (1999). Recurrent V1-V2 interaction in early visual boundary processing. Biological Cybernetics, 81, 425-444. [PubMed]
76. Parent, P., & Zucker, S. W. (1989). Trace inference, curvature consistency, and curve detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 823-839.
77. Peterhans, E., & Heitger, F. (2001). Simulation of neuronal responses defining depth order and contrast polarity at illusory contours in monkey area V2. Journal of Computational Neuroscience, 10, 195-211. [PubMed]
78. Peterson, M. A., & Rhodes, G. (Eds.) (2003). Perception of faces, objects and scenes: Analytic and holistic processes. New York: Oxford University Press.
79. Polat, U., & Sagi, D. (1993). Lateral interactions between spatial channels: Suppression and facilitation revealed by lateral masking experiments. Vision Research, 33, 993-999. [PubMed]
80. Polat, U., & Sagi, D. (1994). The architecture of perceptual spatial interactions. Vision Research, 34, 73-78. [PubMed]
81. Ringach, D. L., Hawken, M. J., & Shapley, R. (1997). Dynamics of orientation tuning in macaque primary visual cortex. Nature, 387, 281-284. [PubMed]
82. Rockland, K. S., & Lund, J. S. (1983). Intrinsic laminar lattice connections in primate visual cortex. Journal of Comparative Neurology, 216, 303-318. [PubMed]
83. Ross, W. D., Grossberg, S., & Mingolla, E. (2000). Visual cortical mechanisms of perceptual grouping: Interacting layers, networks, columns, maps. Neural Networks, 13, 571-588. [PubMed]
84. Salin, P. A., & Bullier, J. (1995). Corticocortical connections in the visual system: Structure and function. Physiological Reviews, 75, 107-154. [PubMed]
85. Sandell, J. H., & Schiller, P. H. (1982). Effect of cooling area 18 on striate cortex cells in the squirrel monkey. Journal of Neurophysiology, 48, 38-48. [PubMed]
86. Schmidt, K. E., Goebel, R., Löwel, S., & Singer, W. (1997). The perceptual grouping criterion of colinearity is reflected by anisotropies of connections in the primary visual cortex. European Journal of Neuroscience, 9, 1083-1089. [PubMed]
87. Schmidt, K. E., & Löwel, S. (2002). Long-range intrinsic connections in cat primary visual cortex. In B. Payne & A. Peters (Eds.), The cat primary visual cortex (pp. 387-428). Orlando, FL: Academic Press.
88. Sepp, W., & Neumann, H. (1999). A multi-resolution filling-in model for brightness perception. In Proceedings of the ICANN, Edinburgh, UK.
89. Sincich, L. C., & Blasdel, G. G. (2001). Oriented axon projections in primary visual cortex of the monkey. Journal of Neuroscience, 21, 4416-4426. [PubMed] [Article]
90. Stettler, D. D., Das, A., Bennett, J., & Gilbert, C. D. (2002). Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron, 36, 739-750. [PubMed] [Article]
91. Thielscher, A., Kölle, M., Neumann, H., Spitzer, M., & Grön, G. (2008). Texture segmentation in human perception: A combined modeling and fMRI study. Neuroscience, 151, 730-736. [PubMed]
92. Thielscher, A., & Neumann, H. (2003). Neural mechanisms of cortico-cortical interaction in texture boundary detection: A modeling approach. Neuroscience, 122, 921-939. [PubMed]
93. Thielscher, A., & Neumann, H. (2005). Neural mechanisms of human texture processing: Texture boundary detection and visual search.Spatial Vision, 18, 227-257. [PubMed]
94. Thielscher, A., & Neumann, H. (2007). A computational model to link psychophysics and cortical cell activation patterns in human texture processing. Journal of Computational Neuroscience, 22, 255-282. [PubMed]
95. Ts'o, D. Y., Gilbert, C. D., & Wiesel, T. N. (1986). Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis. Journal of Neuroscience, 6, 1160-1170. [PubMed] [Article]
96. von der Heydt, R., & Peterhans, E. (1989). Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity. Journal of Neuroscience, 9, 1731-1748. [PubMed] [Article]
97. von der Heydt, R., Peterhans, E., & Baumgartner, G. (1984). Illusory contours and cortical neuron responses. Science, 224, 1260-1262. [PubMed]
98. Weber, E. H. (1846). Tastsinn und Gemeingefü hl. In R. Wagner (Ed.), Handwörterbuch der Physiologie. Reprinted in W. Ostwald (1905), Klassiker der exakten Wissenschaften (vol. 149). Leipzig, Germany: Engelmann.
99. Weliky, M., Kandler, K., Fitzpatrick, D., & Katz, L. C. (1995). Patterns of excitation and inhibition evoked by horizontal connections in visual cortex share a common relationship to orientation columns. Neuron, 15, 541-552. [PubMed]
100. Wersing, H., Steil, J. J., & Ritter, H. (2001). A competitive-layer model for feature binding and sensory segmentation. Neural Computation, 13, 357-387. [PubMed]
101. Wertheimer, M. (1923). Untersuchungen zur Lehre von der Gestalt. II. Psychologische Forschung, 4, 301-305. Translated as "Laws of organization in perceptual forms." In W. D. Ellis (Ed.) (1955), A source book of Gestalt psychology (pp. 274-282). London: Routledge & Kegan Paul. Also available online from http://psychclassics.yorku.ca
102. Williams, L. R. (1998). Fruit and texture images. http://www.cs.unm.edu/ ~williams/saliency
103. Würtz, R. P., & Lourens, T. (2000). Corner detection in color images through a multiscale combination of end-stopped cortical cells. Image and Vision Computing, 18, 531-541.
104. Yen, S. C., & Finkel, L. H. (1998). Extraction of perceptually salient contours by striate cortical networks. Vision Research, 38, 719-741. [PubMed]