The aperture problem in contoured stimuli

Journal of Vision

Volumn 9, Issue 10, 2009, Pages

  Kane, David ^a   Bex, Peter J ^b   Dakin, Steven C ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b SCHEPENS EYE RESEARCH INSTITUTE   (United States)

Author keywords

Detection discrimination; Motion 2D; Structure of natural images

Indexed keywords

ARTICLE; DEPTH PERCEPTION; HUMAN; METHODOLOGY; MOVEMENT PERCEPTION; ORIENTATION; PERCEPTIVE DISCRIMINATION; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOPHYSICS; TIME;

DISCRIMINATION (PSYCHOLOGY); HUMANS; MOTION PERCEPTION; ORIENTATION; PHOTIC STIMULATION; PSYCHOPHYSICS; SPACE PERCEPTION; TIME FACTORS;

EID: 70349224329     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/9.10.13     Document Type: Article

References (64)

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.
2. Adelson, E. H., & Movshon, J. A. (1982). Phenomenal coherence of moving visual patterns. Nature, 300, 523-525.
3. Albright, T. D. (1984). Direction and orientation selectivity of neurons in visual area MT of the macaque. Journal of Neurophysiology, 52, 1106-1130.
4. Amano, K., Edwards, M., Badcock, D. R., & Nishida, S. Y. (2009). Adaptive pooling of visual motion signals by the human visual system revealed with a novel multi-element stimulus [Abstract]. Journal of Vision, 9(3):4, 1-25, http://journalofvision.org/9/3/4/, doi:10.1167/ 9.3.4.
5. Anderson, S. J., & Burr, D. C. (1987). Receptive field size of human motion detection units. Vision Research, 27, 621-635.
6. Ashida, H., & Osaka, N. (1994). Difference of spatial frequency selectivity between static and flicker motion aftereffects. Perception, 23, 1313-1320.
7. Attneave, F. (1954). Some informational aspects of visual perception. Psychology Review, 61, 183-193.
8. Bair, W., & Movshon, J. A. (2004). Adaptive temporal integration of motion in direction-selective neurons in macaque visual cortex. Journal of Neuroscience, 24, 7305-7323.
9. Baker, C. L., Jr., Baydala, A., & Zeitouni, N. (1989). Optimal displacement in apparent motion. Vision Research, 29, 849-859.
10. Barlow, H. (1961). Possible principles underlying the transformation of sensory messages. Sensory communication (pp. 217-234). Cambridge, MA: MIT Press.
11. Basole, A., White, L. E., & Fitzpatrick, D. (2003). Mapping multiple features in the population response of visual cortex. Nature, 423, 986-990.
12. Bex, P. J., & Dakin, S. C. (2002). Comparison of the spatial-frequency selectivity of local and global motion detectors. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 19, 670-677.
13. Bex, P. J., & Dakin, S. C. (2003). Motion detection and the coincidence of structure at high and low spatial frequencies. Vision Research, 43, 371-383.
14. Bex, P. J., Simmers, A. J., & Dakin, S. C. (2001). Snakes and ladders: The role of temporal modulation in visual contour integration. Vision Research, 41, 3775-3782.
15. Blakemore, C., & Campbell, F. W. (1969). On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images. The Journal of Physiology, 203, 237-260.
16. 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.
17. Bowns, L., & Alais, D. (2006). Large shifts in perceived motion direction reveal multiple global motion solutions. Vision Research, 46, 1170-1177.
18. Bradley, D. C., & Goyal, M. S. (2008). Velocity computation in the primate visual system. Nature Reviews Neuroscience, 9, 686-695.
19. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436.
20. Burr, D. C. (1981). Temporal summation of moving images by the human visual system. Proceedings of the Royal Society of London B: Biological Science, 211, 321-339.
21. Cleary, R., & Braddick, O. J. (1990). Direction discrimination for band-pass filtered random dot kinematograms. Vision Research, 30, 303-316.
22. Cornsweet, T. (1970). Visual perception. New York: Academic.
23. Craik, K. (1966). The nature of psychology: A selection of papers, essays and other writings by the late K. J. W Craik. London: Cambridge University Press.
24. Dakin, S. C., & Bex, P. J. (2003). Natural image statistics mediate brightness 'filling in'. Proceedings of the Royal Society B: Biological Sciences, 270, 2341-2348.
25. Dakin, S. C., & Hass, R. F. (1998). Spatial-frequency tuning of visual contour integration. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 15, 1486-1499.
26. Dakin, S. C., Mareschal, I., & Bex, P. J. (2005). Local and global limitations on direction integration assessed using equivalent noise analysis. Vision Research, 45, 3027-3049.
27. De Valois, R. L., Yund, E. W., & Hepler, N. (1982). The orientation and direction selectivity of cells in macaque visual cortex. Vision Research, 22, 531-544.
28. Eagle, R. A., & Rogers, B. J. (1996). Motion detection is limited by element density not spatial frequency. Vision Research, 36, 545-558.
29. 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.
30. Foster, K., Gaska, J., Nagler, M., & Pollen, D. (1985). Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey. The Journal of Physiology, 365, 331-363.
31. Fredericksen, R. E., Bex, P. J., & Verstraten, F. A. (1997). How big is a Gabor patch, and why should we care? Journal of the Optical Society of America A, Optics, Image Science, and Vision, 14, 1-12.
32. Geisler, W. S., Perry, J. S., Super, B. J., & Gallogly, D. P. (2001). Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41, 711-724.
33. Hess, R. F., & Dakin, S. C. (1997). Absence of contour linking in peripheral vision. Nature, 390, 602-604.
34. Hubel, D. H., & Wiesel, T. N. (1968). Receptive fields and functional architecture of monkey striate cortex. The Journal of Physiology, 195, 215-243.
35. Ledgeway, T. (1996). How similar must the Fourier spectra of the frames of a random-dot kinematogram be to support motion perception? Vision Research, 36, 2489-2495.
36. Ledgeway, T., & Hess, R. F. (2002). Rules for combining the outputs of local motion detectors to define simple contours. Vision Research, 42, 653-659.
37. Ledgeway, T., & Hess, R. F. (2006). The spatial frequency and orientation selectivity of the mechanisms that extract motion-defined contours. Vision Research, 46, 568-578.
38. Ledgeway, T., Hess, R. F., & Geisler, W. S. (2005). Grouping local orientation and direction signals to extract spatial contours: Empirical tests of "association field" models of contour integration. Vision Research, 45, 2511-2522.
39. Lorenceau, J., & Alais, D. (2001). Form constraints in motion binding. Nature Neuroscience, 4, 745-751.
40. Lorenceau, J., & Shiffrar, M. (1992). The influence of terminators on motion integration across space. Vision Research, 32, 263-273.
41. Majaj, N. J., Carandini, M., & Movshon, J. A. (2007). Motion integration by neurons in macaque MT is local, not global. Journal of Neuroscience, 27, 366-370.
42. Mante, V., & Carandini, M. (2005). Mapping of stimulus energy in primary visual cortex. Journal of Neurophysiology 94, 788-798.
43. McDermott, J., Weiss, Y., & Adelson, E. H. (2001). Beyond functions: Nonlocal form constraints on motion interpretation. Perception, 30, 905-923.
44. Mingolla, E., Todd, J. T., & Norman, J. F. (1992). The perception of globally coherent motion. Vision Research, 32, 1015-1031.
45. Morgan, M. J. (1992). Spatial filtering precedes motion detection. Nature, 355, 344-346.
46. Movshon, J. A., Adelson, E. H., Gizzi, M. S., & Newsome, W. T. (1986). The analysis of moving visual patterns.
47. Nishida, S. (2004). Motion-based analysis of spatial patterns by the human visual system. Current Biology, 14, 830-839.
48. O'Brien. (1958). Contour perception, illusion and reality. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 48, 112-119.
49. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.
50. Pelli, D. G., & Zhang, L. (1991). Accurate control of contrast on microcomputer displays. Vision Research, 31, 1337-1350.
51. Perrone, J. A. (2004). A visual motion sensor based on the properties of V1 and MT neurons. Vision Research, 44, 1733-1755.
52. Polat, U., & Sagi, D. (1993). Lateral interactions between spatial channels: Suppression and facilitation revealed by lateral masking experiments. Vision Research, 33, 993-999.
53. Priebe, N. J., Lisberger, S. G., & Movshon, J. A. (2006). Tuning for spatiotemporal frequency and speed in directionally selective neurons of macaque striate cortex. Journal of Neuroscience, 26, 2941-2950.
54. Ramachandran, V. S., & Cavanagh, P. (1987). Motion capture anisotropy. Vision Research, 27, 97-106.
55. Rust, N. C., Mante, V., Simoncelli, E. P., & Movshon, J. A. (2006). How MT cells analyze the motion of visual patterns. Nature Neuroscience, 9, 1421-1431.
56. Schrater, P. R., Knill, D. C., & Simoncelli, E. P. (2000). Mechanisms of visual motion detection. Nature Neuroscience, 3, 64-68.
57. Shipley, T. F., & Kellman, P. J. (1993). Optical tearing in spatiotemporal boundary formation: When do local element motions produce boundaries, form, and global motion? Spatial Vision, 7, 323-339.
58. Simoncelli, E. P., & Heeger, D. J. (1998). A model of neuronal responses in visual area MT. Vision Research, 38, 743-761.
59. Snowden, R. J., Treue, S., & Andersen, R. A. (1992). The response of neurons in ireas V1 and MT of the alert rhesus monkey to moving random dot patterns. Experimental Brain Research, 88, 389-400.
60. Tolhurst, D. J., & Movshon, J. A. (1975). Spatial and temporal contrast sensitivity of striate cortical neurones. Nature, 257, 674-675.
61. von Grunau, M., & Dube, S. (1992). Comparing local and remote motion aftereffects. Spatial Vision, 6, 303-314.
62. Weiss, Y., & Adelson, E. H. (1998). Slow and smooth: A Bayesian theory for the combination of local motion signals in human vision. Technical Report 1624, MIT Al lab, 1998.
63. Wertheimer, M. (1958). Principles of perceptual organization.
64. Wilson, H. R., Ferrera, V. P., & Yo, C. (1992). A psychophysically motivated model for two-dimensional motion perception. Visual Neuroscience, 9, 79-97.