12 Computational neural models of spatial integration in perceptual grouping

Advances in Psychology

Volumn 130, Issue C, 2001, Pages 353-400

  Neumann, Heiko ^a   Mingolla, Ennio ^b  

^a UNIVERSITY OF ULM   (Germany)

^b BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956781746     PISSN: 01664115     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0166-4115(01)80032-7     Document Type: Chapter

References (95)

1. Baumann R., van der Zwan R., and Peterhans E. Figure-ground segregation at contours: A neural mechanism in the visual cortex of the alert monkey. European Journal of Neuroscience 9 (1997) 1290-1303
2. Baumgartner G., von der Heydt R., and Peterhans E. Anomalous contours: A tool in studying the neurophysiology of vision. Experimental Brain Research (Supplement) 9 (1984) 413-419
3. Bertenthal B.I., Campos J.J., and Haith M.M. Development of visual organization: The perception of illusory contours. Child Development 51 (1980) 1072-1080
4. Bosking W.H., Zhang Y., Schofield B., and Fitzpatrick D. Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. Journal of Neuroscience 17 6 (1997) 2112-2127
5. Bullier J., McCourt M., and Henry G. Physiological studies on the feedback connection to the striate cortex from cortical areas 18 and 19 of the cat. Experimental Brain Research 70 (1988) 90-98
6. Carpenter G.A., and Grossberg S. The ART of adaptive pattern recognition by a self-organizing neural network. Computer 21 (1988) 77-88
7. Cohen M.A., and Grossberg S. Neural dynamics of brightness perception: Features, boundaries, diffusion, and resonance. Perception and Psychophysics 36 5 (1984) 427-456
8. Cohen M.A., and Grossberg S. Some global properties of binocular resonances: Disparity matching, filling-in and figure-ground synthesis. In: Dodwell P., and Caelli T. (Eds). Figural synthesis (1984), Erlbaum, Hillsdale, NJ
9. Crick F., and Koch C. Constraints on cortical and thalamic projections: The no-strong loop hypothesis. Nature 391 (1998) 245-250
10. DeYoe E., and van Essen D. Concurrent processing streams in monkey visual cortex. Trends in Neurosciences 11 (1988) 219-226
11. Eckhorn R., Bauer R., Jordan W., Brosch M., Kruse W., Munk M., and Reitboeck H.J. Coherent oscillations: A mechanism of feature linking in the visual cortex?. Biological Cybernetics 20 (1988) 69-98
12. Eckhorn R., Reitboeck H.J., Arndt M., and Dicke P. Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex. Neural Computation 2 (1990) 293-307
13. Ellias S.A., and Grossberg S. Pattern formation, contrast control, and oscillations in the short term memory of shunting on-center off-surround networks. Biological Cybernetics 20 (1975) 69-98
14. Engel A.K., König P., and Singer W. Direct physiological evidence for scene segmentation by temporal coding. Proceedings of the National Academy of Sciences USA 88 (1991) 9136-9140
15. Farroni T., Valenza E., Simion F., and Umilta C. Configural processing at birth: Evidence for perceptual organization. Perception 29 (2000) 355-372
16. Field D.J., Hayes A., and Hess R.F. Contour integration by the human visual system: Evidence for a local "association field". Vision Research 33 (1993) 173-193
17. Finkel L., and Edelman G.M. Integration of distributed cortical systems by reentry: A computer simulation of interactive functionally segregated visual areas. Journal of Neuroscience 9 (1989) 3188-3208
18. Francis G., and Grossberg S. Cortical dynamics of boundary segmentation and reset: Presistence, afterimages, and residual traces. Perception 25 (1996) 543-567
19. Francis G., Grossberg S., and Mingolla E. Cortical dynamics of feature binding and reset: Control of visual persistence. Vision Research 34 (1994) 1089-1104
20. Frien A., Eckhorn R., Bauer R., Woelbern T., and Kehr H. Stimulus-specific fast oscillations at zero-phase between visual areas V1 and V2 of awake monkey. NeuroReport 5 (1994) 2273-2277
21. Geisler W.S., Perry J.S., Super B.J., and Gallogly D.P. Edge co-occurrence in natural images predicts contour grouping performance. Vision Research 41 (2001) 711-724
22. Gilbert C. Horizontal integration and cortical dynamics. Neuron 9 (1992) 1-13
23. Gilbert C., and Wiesel T.N. Morphology and intracortical projections of functionally identified neurons in cat visual cortex. Nature 280 (1979) 120-125
24. Gilbert C., and Wiesel T.N. Clustered intrinsic connections in cat visual cortex. Journal of Neuroscience 3 (1983) 1116-1133
25. Gilbert C., and Wiesel T.N. Columnar specificity of intrinsic horizontal and corticortical connections in cat visual cortex. Journal of Neuroscience 9 (1989) 2432-2442
26. Gilbert C., and Wiesel T.N. The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat. Vision Research 30 (1990) 1689-1701
27. Gove A., Grossberg S., and Mingolla E. Brightness perception, illusory contours, and corticogeniculate feedback. Visual Neuroscience 12 (1995) 1027-1052
28. Gray C.M. The temporal correlation hypothesis of visual feature integration: Still alive and well. Neuron 24 (1999) 31-47
29. Gray C.M., König P., Engel A., and Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 338 (1989) 334-337
30. Grossberg S. Contour enhancement, short term memory, and constancies in reverberating neural networks. Studies in Applied Mathematics LII (1973) 213-257
31. Grossberg S. How does a brain build a cognitive code?. Psychological Review 87 (1980) 1-51
32. Grossberg S. Outline of a theory of brightness, color, and form perception. In: deGreef E., and van Buggenhaut J. (Eds). Trends in mathematical psychology (1984), North Holland, Amsterdam
33. Grossberg S. 3-D vision and figure-ground separation by visual cortex. Perception and Psychophysics 55 (1994) 48-120
34. Grossberg S. How does the cerebral cortex work? Learning, attention, and grouping by the laminar circuits of visual cortex. Spatial Vision 12 (1995) 16-185
35. Grossberg S. The attentive brain. American Scientist 83 (1999) 438-449
36. Grossberg S., and Mingolla E. Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading. Psychological Review 92 (1985) 173-211
37. Grossberg S., and Mingolla E. Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentation. Perception and Psychophysics 38 (1985) 141-171
38. Grossberg S., and Mingolla E. Neural dynamics of surface perception: Boundary webs, illuminants, and shape-from-shading. Computer Vision, Graphics, and Image Processing 37 (1987) 116-165
39. Grossberg S., Mingolla E., and Ross W.D. Visual brain and visual perception: How does the cortex do perceptual grouping?. Trends in Neurosciences 20 (1997) 106-111
40. Grossberg S., and Raizada R.D.S. Contrast-sensitive perceptual grouping and object-based attention in the laminar circuits of primary visual cortex. Vision Research 40 (2000) 1413-1432
41. Grossberg S., and Somers D. Synchronized oscillations during cooperative feature linking in a cortical model of visual perception. Neural Networks 4 (1991) 453-466
42. Grossberg S., and Williamson J.R. 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 (2001) 37-58
43. Hansen T., Sepp W., and Neumann H. Recurrent long-range interactions in early vision. In: Wermter S. (Ed). Emergent neural computational architectures based on neuroscience (2001), Springer, Heidelberg 129-141
44. Heitger F., and von der Heydt R. A computational model of neural contour processing: Figure-ground segregation and illusory contours. Proc. 4th Int. Conf. on Computer Vision (ECCV '93). Berlin, Germany (1993) 32-40
45. Heitger F., von der Heydt R., Peterhans E., Rosenthaler L., and Kübler O. Simulation of neural contour mechanisms: Representing anomalous contours. Image and Vision Computing 16 (1998) 407-421
46. Hubel D.H., and Wiesel T.N. Receptive fields and functional architecture of monkey striate cortex. Journal of Phsyiology 195 (1968) 215-243
47. Hupé J.M., James A.C., Payne B.R., Lomber S.G., Girard P., and Bullier J. Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurones. Nature 394 (1998) 784-787
48. Kanizsa G. Percezione attuale, esperienza passata è l'"esperimento impossible". In: Kanizsa G., and Vicario G. (Eds). Ricerche sperimentali sulla percezione (1968), Università degli Studi, Trieste
49. Kanizsa G. Subjective contours. Scientific American 234 (1976) 48-52
50. Kanizsa G. Organization in vision: Essays on Gestalt perception (1979), Praeger, New York
51. Kapadia M.M., Ito M., Gilbert C.D., and Westheimer G. Improvement in visual sensitivity by changes in local context: Parallel studies in human observers and in V1 of alert monkeys. Neuron 15 (1995) 843-856
52. Kapadia M.M., Westheimer G., and Gilbert C.D. The spatial distribution of contexual interactions in primary visual cortex and in visual perception. Journal of Neurophysiology 84 4 (2000) 2048-2062
53. Keil M.S., and Cristobal G. Separating the chaff from the wheat: Possible origins of the oblique effect. Journal of the Optical Society of America A 17 (2000) 697-710
54. Kellman P.J., and Loukides M.G. An object perception approach to static and kinetic subjective contours. In: Petry S., and Meyer G.E. (Eds). The perception of illusory contours (1987), Springer, New York
55. Kellman P.J., and Shipley T.F. A theory of visual interpolation in object perception. Cognitive Psychology 23 (1991) 141-221
56. Kelly F., and Grossberg S. Neural dynamics of 3-D surface perception: Figure-ground separation and lightness perception. Perception and Psychophysics 62 8 (2000) 1596-1618
57. Koffka K. Principles of Gestalt psychology (1935), Routledge & Kegan Paul Ltd., London
58. Krüger N. Collinearity and parallelism are statistically significant second order relations of complex cell responses. Natural Processing Letters 8 (1998) 117-129
59. Lesher G.W. Illusory contours: Toward a neurally based perceptual theory. Psychonomic Bulletin and Review 2 (1995) 279-321
60. Lesher G.W., and Mingolla E. The role of edges and line-ends in illusory contour formation. Vision Research 33 (1993) 2253-2270
61. Li Z. A neural model of contour integration in the primary visual cortex. Neural Computation 10 (1998) 903-940
62. Li Z. Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex. Network 10 (1999) 187-212
63. Li Z. Contextual influences in V1 as a basis for pop-out and asymmetry in visual search. Proceedings of the National Academy of Science USA 96 (1999) 10530-10535
64. Martin K.A.C., and Whitteridge D. Form, function and intracortical projections of spiny neurones in the striate visual cortex of the cat. Journal of Physiology (London) 353 (1984) 463-504
65. Mendola J.D., Dale A.M., Fischl B., Liu A.K., and Tootell R.B.H. The representation of illusory and real, contours in human cortical visual areas revealed by functional magnetic resonance imaging. Journal of Neuroscience 19 (1999) 8560-8572
66. Meyer M., and Ming C. The visible persistence of illusory contours. Canadian Journal of Psychology 42 (1988) 479-488
67. Mingolla E., Ross W., and Grossberg S. A neural network for enhancing boundaries and surfaces in synthetic aperture radar images. Neural Networks 12 (1999) 499-511
68. Mumford D. On the computational architecture of the neocortex, II: The role of corticocortical loop. Biological Cybernetics 65 (1991) 241-251
69. Mumford D. Neuronal architectures for pattern-theoretic problems. In: Koch C., and Davis J.L. (Eds). Large-scale neuronal theories of the brain (1994), MIT Press, Cambridge
70. Neumann H. Mechanisms of neural architecture for visual contrast and brightness perception. Neural Networks 9 (1996) 921-936
71. Neumann H., Pessoa L., and Mingolla E. A neural architecture of brightness perception: Non-linear contrast detection and geometry-driven diffusion. Image and Vision Computing 16 (1998) 423-446
72. Neumann H., and Sepp W. Recurrent V1-V2 interaction in early visual boundary processing. Biological Cybernetics 81 (1999) 425-444
73. Parent P., and Zucker S. Trace inference, curvature consistency, and curve detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (1989) 823-839
74. Peterhans E., and von der Heydt R. Mechanisms of contour perception in monkey visual cortex. II. Contours bridging gaps. Journal of Neuroscience 9 (1989) 1749-1763
75. Peterhans E., and von der Heydt R. Subjective contours-bridging the gap between psychophysics and physiology. Trands in Neurosciences 14 (1991) 112-119
76. Pettet M.W., McKee S.P., and Grzywacz N. Constraints on long range interactions mediating contour detection. Vision Research 38 (1998) 865-879
77. Ringach D.L., and Shapley R. Spatial and temporal properties of illusory contours and amodal boundary completion. Vision Research 36 19 (1996) 3037-3050
78. Rockland K.S., and Lund J.S. Widespread periodic intrinsic, connections in the tree shrew visual cortex. Science 215 4539 (1982) 1532-1534
79. Ross W.D., Grossberg S., and Mingolla E. Visual cortical mechanisms of perceptual grouping: Interacting layers, networks, columns, and maps. Neural Networks 13 (2000) 571-588
80. Saam M., and Eckhorn R. Lateral spike conduction velocities in the visual cortex affects spatial range of synchronization and receptive field size without visual experience: A learning model with spiking neurons. Biological Cybernetics 83 (2000) L1-L9
81. Shadlen M.N., and Movshon J.A. Synchrony unbound: A critical evaluation of the temporal binding hypothesis. Neuron 24 (1999) 67-77
82. Shipley T.F., and Kellman P.J. Strength of visual interpolation depends on the ratio of physically specified to total edge length. Perception and Psychophysics 52 (1992) 97-106
83. Sigman M., Cecchi G.A., Gilbert C.D., and Magnasco M.O. A common circle: Natural scenes and Gestalt rules. Proceedings of the National Academy of Sciences USA 98 (2001) 1935-1940
84. Spillmann L., and Werner J.S. Long-range interactions in visual perception. Trends in Neurosciences 19 10 (1996) 428-434
85. Thorpe S., Fize D., and Marlot C. Speed of processing in the human visual system. Nature 381 (1996) 520-522
86. Ullman S. Sequence seeking and counter streams: A computational model for bidirectional information flow in the visual cortex. Cerebral Cortex 1 (1995) 1-11
87. von der Heydt R., Peterhans E., and Baumgartner G. Illusory contours and cortical neuron responses. Science 224 (1984) 1260-1262
88. von der Heydt R., Heitger F., and Peterhans E. Perception of occluding contours: Neural mechanisms and a computational model. Biomedical Research 14 (1993) 1-6
89. von der Heydt R., and Peterhans E. Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity. Journal of Neuroscience 9 (1989) 1731-1748
90. Thornber K.K., and Williams L.R. Analytic solutions of stochastic completions fields. Biological Cybernetics 75 (1996) 141-151
91. Williams L.R., and Jacobs D.W. Stochastic completions fields: A neural model of illusory contour shape and salience. Neural Computation 9 (1997) 837-858
92. Williams L.R., and Jacobs D.W. Local parallel computations of stochastic completions fields. Neural Computation 9 (1997) 859-881
93. Zucker S. Early orientation selection: Tangent fields and the dimensionally of their support. Computer Vision, Graphics, and Image Processing 32 (1985) 74-103
94. Zucker S.W., and Parent P. Multiple-size operators and optimal curve finding. In: Rosenfeld A. (Ed). Multiresolution image processing and analysis (1984), Springer, Berlin 200-210
95. Zucker S., Hummel R.A., and Rosenfeld A. An application of relaxation labeling to line and curve enhancement. IEEE Transactions on Computers 26 (1977) 394-403