A model of contour extraction including multiple scales, flexible inhibition and attention

Neural Networks

Volumn 21, Issue 5, 2008, Pages 759-773

  La Cara, Giuseppe Emiliano ^a   Ursino, Mauro ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Attention; Coarse to fine integration; Inhibition; Multi resolution theory; Spatial frequency channels

Indexed keywords

COMPUTER SIMULATION; IMAGE ANALYSIS; MATHEMATICAL MODELS;

COARSE-TO-FINE INTEGRATION; MULTI-RESOLUTION THEORY; SPATIAL-FREQUENCY CHANNELS;

CONTOUR MEASUREMENT;

ARTICLE; ATTENTION; COMPUTER SIMULATION; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL; VISION; VISUAL CORTEX;

ANIMALS; ATTENTION; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURAL INHIBITION; NEURONS; ORIENTATION; PATTERN RECOGNITION, VISUAL; SENSORY THRESHOLDS; VISUAL CORTEX; VISUAL PATHWAYS;

EID: 44649180377     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.11.003     Document Type: Article

References (89)

1. Allman J., Miezin F., and McGuinness E. Stimulus specific responses from beyond the classical receptive field: Neurophysiological mechanisms for local-global comparisons in visual neurons. Annual Review of Neuroscience 8 (1985) 407-430
2. Angelucci A., and Bressloff P.C. Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons. Progress in Brain Research 154 (2006) 93-120
3. Angelucci A., and Bullier J. Reaching beyond the classical receptive field of V1 neurons: Horizontal or feedback axons?. Journal of Physiology (Paris) 97 (2003) 141-154
4. Angelucci A., Levitt J.B., Walton J.S.E., Hupé J.M., Bullier J., and Lund J.S. Circuits for local and global signal integration in primary visual cortex. The Journal of Neuroscience 22 (2002) 8633-8646
5. Badcock J., Whitworth F., Badcock D., and Lovegrove W. Low frequency filtering and the processing of local-global stimuli. Perception (1990) 617-629
6. Bahcall D.O., and Kowler E. Attentional interference at small spatial separations. Vision Research 39 (1999) 71-86
7. Bar M. A cortical mechanism for triggering top-down facilitation in visual object recognition. Journal of Cognitive Neuroscience 15 (2003) 600-609
8. Brefczynski J.A., and De Yoe E.A. A physiological correlate of the "spot-light" of visual attention. Nature Neuroscience 2 (1999) 370-374
9. Bullier J. Integrated model of visual processing. Brain Research Reviews 36 (2001) 96-107
10. Castiello U., and Umilta C. Size of the attention focus and efficiency of processing. Acta Psychologica 73 (1990) 195-209
11. Cavanaugh J.R., Bair W., and Movshon J.A. Selectivity and spatial distribution of signals from the receptive field surround in macaque V1 neurons. Journal of Neurophysiology 88 (2002) 2547-2556
12. Cepeda N.J., Cave K.R., Bichot N.P., and Kim M. Spatial selection via feature-driven inhibition of distractor locations. Perception & Psychophysics 60 (1998) 727-746
13. Crick F. Function of the thalamic reticular complex: the searchlight hypothesis. Proceedings of the National Academy of Science USA 81 (1984) 4586-4590
14. de Brecht M., and Saiki J. A neural network implementation of a saliency map model. Neural Networks 19 (2006) 1467-1474
15. De Valois, R., & De Valois, K. (1998). Spatial vision. New York
16. Deco G., and Rolls E.T. A neurodynamical cortical model of visual attention and invariant object recognition. Vision Research 44 (2004) 621-642
17. Duncan J. Selective attention and the organization of visual information. Journal of Experimental Psychology General 113 (1984) 501-517
18. Eriksen C.W., and St James J.D. Visual attention within and around the field of focal attention: A zoom lens model. Perception & Psychophysics 40 (1986) 225-240
19. Eriksen C.W., and Yeh Y.Y. Allocation of attention in the visual field. Journal of Experimental Psychology Human Perception and Performance 11 (1985) 583-597
20. Field D.J., Hayes A., and Hess R.F. Contour integration by the human visual system: Evidence for a local associative field. Vision Research 33 (1993) 173-193
21. Gilbert C.D., and Wiesel T.N. Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. The Journal of Neuroscience 9 (1989) 2432-2442
22. Grigorescu C., Petkov N., and Westenberg M.A. Contour detection based on non classical receptive field inhibition. IEEE Transactions on Image Processing 12 (2003) 729-739
23. Grossberg S., and Mingolla M. Neural dynamics of perceptual grouping: textures, boundaries, and emergent segmentation. Perception & Psychophysics 38 (1985) 141-171
24. Grossberg S., Mingolla M., and Ross W.D. Visual brain and visual perception: How does the cortex do perceptual grouping?. Trends in Neurosciences 20 (1997) 106-111
25. Hubel H.D., and Wiesel T.N. Ferrier lecture: Functional architecture of macaque monkey visual cortex. Proceedings of the Royal Society of London B 198 (1977) 1-59
26. Ito M., and Gilbert C.D. Attention modulates contextual influences in the primary visual cortex of alert monkeys. Neuron 22 (1999) 593-604
27. Ito M., Westheimer G., and Gilbert C.D. Attention and perceptual learning modulate contextual influences on visual perception. Neuron 20 (1998) 1191-1197
28. Joshi, G. D., & Sivaswamy, J. (2005). A multiscale approach to contour detection. In International conference on cognition and recognition 2005
29. Joshi G.D., and Sivaswamy J. A computational model for boundary detection. Indian conference on computer vision, graphics & image processing (2006), Springer 172-183
30. Kapadia 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 11 (1995) 843-856
31. Kapadia M., Westheimer G., and Gilbert C.D. Spatial distribution of contextual interactions in primary visual cortex and in visual perception. Journal of Neurophysiology 84 (2000) 2048-2062
32. Knierim J.J., and van Essen D.C. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. Journal of Neurophysiology 67 (1992) 961-980
33. La Berge D. Spatial extent of attention to letters and words. Journal of Experimental Psychology Human Perception and Performance 9 (1983) 371-379
34. Li Z. A neural model of contour integration in the primary visual cortex. Neural Computation 10 (1998) 903-940
35. Li Z. Contextual influences in V1 as a basis for pop out and asymmetry in visual search. Proceedings of the National Academy of Sciences 96 (1999) 10530-10535
36. Li Z. Visual segmentation by contextual influences via intracortical interactions in primary visual cortex. Network: Computation in Neural System 10 (1999) 187-212
37. Li Z. Computational design and non linear dynamics of a recurrent network model of the primary visual cortex. Neural Computation 13 (2001) 1749-1780
38. Majaj N.J., Pelli D.G., Kurshan P., and Palomares M. The role of spatial frequency channels in letter identification. Vision Research 42 (2002) 1165-1184
39. Mermillod M., Guyader N., and Chauvin A. The coarse-to-fine hypothesis revisited: Evidence from neuro-computational modeling. Brain and Cognition 57 (2005) 151-157
40. Moran J., and Desimone R. Selective attention gates visual processing in the extrastriate cortex. Science 229 (1985) 782-784
41. Mounts J.R.W. Evidence for suppressive mechanisms in attentional selection: Feature singletons produce inhibitory surrounds. Perception & Psychophysics 62 (2002) 969-983
42. Naito T., Sadakane O., Okamoto M., and Sato H. Orientation tuning of surround suppression in lateral geniculate nucleus and primary visual cortex of cat. Neuroscience 149 (2007) 962-975
43. Nelson J.I., and Frost B.J. Intracortical facilitation among co-oriented, co-axially aligned simple cells in cat striate cortex. Experimental Brain Research 61 (1985) 54-61
44. Oliva A., and Schyns P.G. Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. Cognitive Psychology 34 (1997) 72-107
45. Ozeki H., Sadakane O., Akasaki T., Naito T., Shimegi S., and Sato H. Relationship between excitation and inhibition underlying size tuning and contextual response modulation in the cat primary visual cortex. The Journal of Neuroscience 24 (2004) 1428-1438
46. Ozgen E., Payne H.E., Sowden P.T., and Schyns P.G. Retinotopic sensitisation to spatial scale: Evidence for flexible spatial frequency processing in scene perception. Vision Research 46 (2006) 1108-1119
47. Palmer S.E. Vision science: Photons to phenomenology (2002), The MIT Press, Cambridge, MA
48. Papari, G., Campisi, P., Neri, A., & Petkov, N. (2006). Contour detection by multiresolution surround inhibition. In IEEE international conference on image processing (pp. 749-752)
49. Peyrin C., Chauvin A., Chokron S., and Marendaz C. Hemispheric specialization for spatial frequency processing in the analysis of natural scenes. Brain and Cognition 58 (2003) 278-282
50. Peyrin C., Schwartz S., Seghier M., Michel C., Landis T., and Vuilleumier P. Hemispheric specialization of human inferior temporal cortex during coarse-to-fine and fine-to-coarse analysis of natural visual scenes. Neuroimage 28 (2005) 464-473
51. Posner, M. I., & Gilbert, C. D. (1999). Attention and primary visual cortex. pp. 2585-2587
52. Posner M.I., and Petersen S.E. The attention system of the human brain. Annual Review of Neuroscience 13 (1990) 25-42
53. Rockland U., and Lund J.S. Intrinsic laminar lattice connections in primate visual cortex. The Journal of Comparative Neurology 216 (1983) 303-318
54. Rodrigues, J., & du Buf, J. M. (2004a). A vision frontend with a new disparity model. In Early cognitive vision workshop Isle of Skye, Scotland
55. Rodrigues J., and du Buf J.M. Visual cortex frontend: Integrating lines, edges, keypoints and disparity. International conference on image analysis and recognition (2004), Springer, Porto, Portugal 664-671
56. Rodrigues, J., & du Buf, J.M. (2006a). Face recognition by cortical multi-scale line and edge representations. In International conference on image analysis and recognition (pp. 329-340)
57. Rodrigues J., and du Buf J.M. Multi-scale keypoints in V1 and beyond: Object segregation, scale selection, saliency maps and face detection. BioSystems 86 (2006) 75-90
58. Schwabe L., Obermayer A., Angelucci A., and Bressloff P.C. The role of feedback in shaping the extra-classical receptive field of cortical neurons: A recurrent network model. The Journal of Neuroscience 26 (2006) 9117-9129
59. Schyns P.G., and Oliva A. Flexible, diagnosticity-driven, rather than fixed, perceptually determined scale selection in scene and face recognition. Perception 26 (1997) 1027-1038
60. Sengpiel F., and Hubener M. Visual attention: Spotlight on the primary visual cortex. Current Biology 9 (1999) 318-321
61. Shulman G., and Wilson J. Spatial frequency and selective attention to local and global information. Perception 16 (1987) 89-101
62. Simpson W.A., and McFadden S.M. Spatial frequency channels derived from individual differences. Vision Research 45 (2005) 2723-2727
63. Slotnick S.D., Hopfinger J.B., Klein S.A., and Sutter E.E. Darkness beyond the light: Attentional inhibition surrounding the classical spotlight. Neuroreport 13 (2002) 773-778
64. Slotnick S.D., Schwarzbach J., and Yantis S. Attentional inhibition of visual processing in human striate cortex and extrastriate cortex. Neuroimage 19 (2003) 1602-1611
65. Smith M.A., Bair W., and Movshon J.A. Dynamics of suppression in macaque V1. Journal of Neuroscience 26 (2006) 4826-4834
66. Somers D.C., Dale A.M., Seiffert A.E., and Tootell R.B. Functional MRI reveals spatially specific attention modulation in human primary visual cortex (1999) pp. 1663-1668
67. Sullivan T.J., and de Sa V.R. A model of surround suppression through cortical feedback. Neural Networks 19 (2006) 564-572
68. Sullivan T.J., and de Sa V.R. Homeostatic synaptic scaling in self-organizing maps. Neural Networks 19 (2007) 734-743
69. Thielscher A., and Neumann H. Neural mechanisms of cortico.cortical interaction in texture boundary detection: A modeling approach. Neursocience 122 (2003) 921-939
70. Thielscher A., and Neumann H. A computational model to link psychophysics and cortical cell activation patterns in human texture processing. Journal of Computational Neuroscience 22 (2007) 255-282
71. Tootell R.B., Hadjikhani N., Hall E.K., Ledden P.J., Liu A.K., Reppas J.B., et al. Functional analysis of V3A and related areas in human visual cortex. Journal of Neuroscience 17 (1997) 7060-7078
72. Treisman A. Perceptual grouping and attention in visual search for features and for objects. Journal of Experimental Psychology Human Perception and Performance 8 (1982) 194-214
73. Treue S., and Maunsell J.H.R. Attentional modulation of visual motion processing in cortical areas MT and MST. Nature 382 (1996) 539-541
74. Ts'o D.Y., Gilbert C.D., and Wiesel T.N. Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis. The Journal of Neuroscience 6 (1986) 1160-1170
75. Ursino M., and La Cara G.E. A model of contextual interactions and contour detection in primary visual cortex. Neural Networks 17 (2004) 719-735
76. Ursino M., and La Cara G.E. Travelling waves and EEG patterns during epileptic seizure: Analysis with an integrate-and-fire neural network. Journal of Theoretical Biology 242 (2006) 171-187
77. Van Rullen R., Delorme A., and Thorpe S.J. Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing 38-40 (2001) 1003-1009
78. Webb B.S., Tinsley C.J., Barraclough N.E., Parker A., and Derrington A.M. Gain control from beyond the classical receptive field in primate primary visual cortex. Visual Neuroscience 20 (2003) 221-230
79. Webster M.A., and De Valois R. Relationship between spatial-frequency and orientation tuning of striate-cortex cells. Journal of the Optical Society of America A, Optics and Image Science 2 (1985) 1124-1132
80. Wertheimer M. Laws of organisation in perceptual forms (1938), Harcourt Brace Jovanovich, London
81. Wielaard J., and Sajda P. Extraclassical Receptive Field phenomena and short-range connectivity in V1. Cerebral Cortex 16 (2006) 1531-1545
82. Wörgotter F., Suder K., Zhao Y., Kerscher N., Eysel U.T., and Funke K. State-dependent receptive field restructuring in the visual cortex. Nature 396 (1998) 165-168
83. Würtz R.P., and Lourens T. Corner detection in color images through a multiscale combination of end-stopped cortical cells. Image and Vision Computing 18 (2000) 531-541
84. Yantis S., Schwarzbach J., Serences J.T., Carlson R.L., Steinmetz M.A., Pekar J.J., et al. Transient neural activity in human parietal cortex during spatial attention shifts. Nature Neuroscience 5 (2002) 995-1002
85. Yazdanbakhsh A., and Grossberg S. Fast synchronization of perceptual grouping in laminar visual cortical circuits. Neural Networks 17 (2004) 707-718
86. Yen S., and Finkel L.H. Extraction of perceptually salient contours by striate cortical networks. Vision Research 38 (1998) 719-741
87. Yeshurun Y., and Carrasco M. Attention improves or impairs visual performance by enhancing spatial resolution. Nature 395 (1998) 72-75
88. Yeshurun Y., and Carrasco M. Spatial attention improves performance in spatial resolution tasks. Vision Research 38 (1999) 293-305
89. Zhaoping L. Border Ownership from Intracortical Interactions in Visual Area V2. Neuron 47 (2005) 143-153