Computing feature motion without feature detectors: A model for terminator motion without end-stopped cells

Vision Research

Volumn 39, Issue 4, 1999, Pages 859-871

  Löffler, Gunter ^a   Orbach, Harry S ^a  

^a GLASGOW CALEDONIAN UNIVERSITY   (United Kingdom)

Author keywords

Area MT; Direction of motion; Features; Neuronal network model; Two dimensional motion

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; FILTER; FOURIER TRANSFORMATION; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL MODEL; PRIORITY JOURNAL; VISUAL STIMULATION; VISUAL SYSTEM;

COMPUTER SIMULATION; DEPTH PERCEPTION; HUMANS; MODELS, PSYCHOLOGICAL; MOTION PERCEPTION; NEURONS; PSYCHOPHYSICS; VISUAL CORTEX;

EID: 0032891523     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(98)00194-1     Document Type: Article

References (65)

1. Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A, 2, 284-299.
2. Adelson, E. H., & Movshon, J. A. (1982). Phenomenal coherence of moving visual patterns. Nature, 300, 523-525.
3. Albrecht, D. G., & Hamilton, D. B. (1982). Striate cortex of monkey and cat: contrast response functions. Journal of Neurophysiology, 48, 217-237.
4. Ben-Av, M. B., & Shiffrar, M. (1995). Disambiguating velocity estimates across image space. Vision Research, 35, 2889-2895.
5. Blasdel, G. G., & Fitzpatrick, D. (1984). Physiological organisation of layer-4 in macaque striate cortex. Journal of Neuroscience, 4, 880-895.
6. Bonds, A. B. (1992). Spatial and temporal nonlinearities in receptive fields of the cat striate cortex. In R. B. Pinter, & B. Nabet, Nonlinear vision: determination of neural receptive fields, function, and networks. Boca Raton, FL: CRC Press, 329-352.
7. Bowns, L. (1996). Evidence for a feature tracking explanation of why type II plaids move in the vector sum direction at short durations. Vision Research, 36, 3685-3694.
8. Burkhalter, A., & Van Essen, D. C. (1986). Processing of color, form and disparity information in visual areas VP and V2 of ventral extrastriate cortex in the macaque monkey. Journal of Neuroscience, 6, 2327-2351.
9. Chubb, C., & Sperling, G. (1989). Two motion perception mechanisms revealed through distance driven reversal of apparent motion. Proceedings of the National Academy of Science USA, 86, 2985-2989.
10. Davis, E. T., Kramer, P., & Graham, N. (1983). Uncertainty about spatial frequency, spatial position, or contrast of visual patterns. Perception & Psychophysics, 33, 20-28.
11. DeValois, R. L., Yund, E. W., & Hepler, N. (1982). The orientation and direction selectivity of cells in macaque visual cortex. Vision Research, 22, 531-544.
12. Dobbins, A., Zucker, S. W., & Cynader, M. S. (1987). End-stopped neurons in the visual cortex as a substrate for calculating curvature. Nature, 329, 438-441.
13. Emerson, R. C., Bergen, J. R., & Adelson, E. H. (1992). Directionally selective complex cells and the computation of motion energy in cat visual cortex. Vision Research, 32, 203-218.
14. Ferrera, V. P., & Wilson, H. R. (1990). Perceived direction of moving two-dimensional patterns. Vision Research, 30, 273-287.
15. Gilbert, C. D. (1977). Laminar differences in receptive field properties of cells in cat primary visual cortex. Journal of Physiology, 268, 391-421.
16. Graham, N. (1991). Complex channels, early local nonlinearities, and normalisation in texture segregation. In M. S. Landy, & J. A. Movshon, Computational models of visual processing. Cambridge, MA: The MIT Press, 273-290.
17. Grosof, D. H., Shapley, R. M., & Hawken, M. J. (1993). Macaque-VI neurons can signal 'illusory' contours. Nature, 365, 550-552.
18. Grossberg, S., & Mingolla, E. (1993). Neural dynamics of motion perception: Direction fields, apertures, and resonant grouping. Perception & Psychophysics, 53, 243-278.
19. Heeger, D. J. (1987). Model for the extraction of image flow. Optical Society of America A, 4, 1455-1471.
20. Heeger, D. J. (1992). Normalisation of cell responses in cat striate cortex. Visual Neuroscience, 9, 181-197.
21. Heitger, F., Rosenthaler, L., Von der Heydt, R., Peterhans, E., & Kübler, O. (1992). Simulation of neural contour mechanisms: from simple to end-stopped cells. Vision Research, 32, 963-981.
22. Hildreth, E. C. (1984). The measurement of visual motion. Cambridge, MA: MIT Press.
23. Hubel, D. H., & Wiesel, T. N. (1968). Receptive fields and functional architecture of the monkey striate cortex. Journal of Physiology, 195, 215-243.
24. Legge, G. E. (1981). A power law for contrast discrimination. Vision Research, 21, 457-467.
25. Lorenceau, J., & Shiffrar, M. (1992). The influence of terminators on motion integration across space. Vision Research, 32, 263-273.
26. Lorenceau, J., Shiffrar, M., Wells, N., & Castet, E. (1993). Different motion sensitive units are involved in recovering the direction of moving lines. Vision Research, 33, 1207-1217.
27. Lu, Z.-L., & Sperling, G. (1995). The functional architecture of human visual motion perception. Vision Research, 35, 2697-2722.
28. Marr, D. (1982). Vision. New York, NY: W.H. Freeman.
29. Maunsell, J. H. R., & Van Essen, D. C. (1983). Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. Journal of Neurophysiology, 49, 1127-1147.
30. Movshon, J. A., Adelson, E. H., Gizzi, M. S., & Newsome, W. T. (1985). The Analysis of moving visual patterns. In C. Chagas, R. Gattass, & C. G. Gross, Study group on pattern recognition mechanisms. Vatican City State: Pontifica Academica Scientiarium, 117-151.
31. Movshon, J. A., & Newsome, W. T. (1996). Visual response properties of striate cortical neurons projecting to area MT in macaque monkeys. Journal of Neuroscience, 16, 7733-7741.
32. Naka, K. I., & Rushton, W. A. (1966). S-potetials from colour units in the retina of the fish. Journal of Physiology, 185, 584-599.
33. Nakayama, K., & Silverman, G. H. (1988). The aperture problem-II. Spatial integration of velocity information along contours. Vision Research, 28, 747-753.
34. Orban, G. A. (1991). Quantitative electrophysiology of visual cortical neurons. In A. G. Leventhal, The neural basis of visual function. Salt Lake City, UT: MacMillan, 173-222.
35. Phillips, G. C., & Wilson, H. R. (1984). Orientation bandwidths of spatial mechanisms measured by masking. Journal of the Optical Society of America A, 1, 226-232.
36. Raiguel, S., Van Hulle, M. M., Xiao, D.-K., Marcar, V. L., & Orban, G. A. (1995). Shape and spatial distribution of receptive fields and antagonistic motion surrounds in the middle temporal area (V5) of the macaque. European Journal of Neuroscience, 7, 2064-2082.
37. Reichardt, W. (1961). Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In W. A. Rosenblith Jr., Sensory communication. New York: Wiley, 303-317.
38. Rodman, H. R., & Albright, T. D. (1989). Single unit analysis of pattern-motion selective properties in the middle temporal visual area (MT). Experimental Brain Research, 75, 53-64.
39. Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single-cell properties in monkey striate cortex: II. Orientation specificity and ocular dominance. Journal of Neurophysiology, 39, 1320-1333.
40. Sclar, G., Maunsell, J. R., & Lennie, P. (1990). Coding of image contrast in central visual pathways of the macaque monkey. Vision Research, 30, 1-10.
41. Shiffrar, M., Li, X., & Lorenceau, J. (1995). Motion integration across differing image features. Vision Research, 35, 2137-2146.
42. Shimojo, S., Silverman, G. H., & Nakayama, K. (1989). Occlusion and the solution to the aperture problem for motion. Vision Research, 29, 619-626.
43. Stone, L. S., Watson, A. B., & Mulligan, J. B. (1990). Effect of contrast on the perceived direction of a moving plaid. Vision Research, 30, 1049-1067.
44. Tanaka, K., Ohzawa, I., Ramoa, A. S., & Freeman, R. D. (1987). Receptive-field properties of cells in area-19 of the cat. Experimental Brain Research, 65, 549-558.
45. Ullman, S. (1979). The interpretation of visual motion. Cambridge, MA: MIT Press.
46. Van den Berg, A. V., & Noest, A. J. (1993). Motion transparency and coherence in plaids: the role of end-stopped cells. Experimental Brain Research, 96, 519-533.
47. Van Essen, D. C. (1984). The visual field representation in striate cortex of the macaque monkey: Asymmetries, anisotropies, and individual variability. Vision Research, 24, 429-448.
48. van Santen, J. P H., & Sperling, G. (1984). Temporal covariance model of human motion perception. Journal of the Optical Society of America A, 1, 451-473.
49. van Santen, J. P. H., & Sperling, G. (1985). Elaborated Reichardt detectors. Journal of the Optical Society of America A, 2, 300-321.
50. Von der Heydt, R., Peterhans, E., & Baumgartner, G. (1984). Illusory contours and cortical neuron responses. Science, 224, 1260-1262.
51. Wallach, H. (1935). Über visuell wahrgenommene Bewegungsrichtung. Psychologische Forschung, 20, 325-380.
52. Watson, A. B., & Ahumada, A. J. Jr. (1985). Model of human visual-motion sensing. Journal of the Optical Society of America A, 2, 322-342.
53. Wilson, H. R. (1980). A transducer function for threshold and suprathreshold human vision. Biological Cybernetics, 38, 171-178.
54. Wilson, H. R. (1985). A model for direction selectivity in threshold motion perception. Biological Cybernetics, 51, 213-222.
55. Wilson, H. R. (1991). Psychophysical models of spatial vision and hyperacuity. In D. Regan, Spatial vision. New York, NY: MacMillan, 64-86.
56. Wilson, H. R. (1993). Nonlinear processes in visual pattern discrimination. Proceedings of the National Acacdamy of Science USA, 90, 9785-9790.
57. Wilson, H. R., Ferrera, V. P., & Yo, C. (1992). A psychophysically motivated model for two-dimensional motion perception. Visual Neuroscience, 9, 79-97.
58. Wilson, H. R., & Gelb, D. J. (1984). Modified line-element theory for spatial-frequency and width discrimination. Journal of the Optical Society of America A, 1, 124-131.
59. Wilson, H. R., & Humanski, R. (1993). Spatial frequency adaptation and contrast gain control. Vision Research, 33, 1133-1149.
60. Wilson, H. R., & Kim, J. (1994). A model for motion coherence and transparency. Visual Neuroscience, 11, 1205-1220.
61. 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.
62. Wilson, H. R., & Richards, W. A. (1992). Curvature and separation discrimination at texture boundaries. Journal of the Optical Society of America A, 9, 1653-1662.
63. Wuerger, S., Shapley, R., & Rubin, N. (1996). On the visually perceived direction of motion by Hans Wallach: 60 years later. Perception, 25, 1317-1367.
64. Yo, C., & Wilson, H. R. (1992a). Perceived direction of moving two-dimensional patterns depends on duration, contrast and eccentricity. Vision Research, 32, 135-147.
65. Yo, C., & Wilson, H. R. (1992b). Moving two-dimensional patterns can capture the perceived directions of lower or higher spatial frequency gratings. Vision Research, 32, 1263-1270.