Local motion detectors cannot account for the detectability of an extended trajectory in noise

Vision Research

Volumn 39, Issue 1, 1999, Pages 19-30

  Verghese, Preeti ^a   Watamaniuk, Scott N J ^b   McKee, Suzanne P ^a   Grzywacz, Norberto M ^a  

^a SMITH KETTLEWELL EYE RESEARCH INSTITUTE   (United States)

^b WRIGHT STATE UNIVERSITY   (United States)

Author keywords

Brownian motion; Local detector; Motion energy; Trajectory network

Indexed keywords

ARTICLE; ENERGY; MATHEMATICAL MODEL; MOTION; MOVEMENT PERCEPTION; NOISE; PRIORITY JOURNAL; SIGNAL DETECTION; VISION;

NON-PROGRAMMATIC;

HUMANS; MATHEMATICS; MODELS, BIOLOGICAL; MOTION PERCEPTION; PSYCHOPHYSICS;

EID: 0032890073     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(98)00033-9     Document Type: Article

References (44)

1. Adelson E.H., Bergen J.R. Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A. 2:1985;284-299.
2. Andersen R.A., Snowden R.J., Treue S., Graziano M. Hierarchical processing of motion in the visual cortex of monkey. Cold Spring Harbor Symposium on Quantitative Biology, LV. 1990;Cold Spring Harbor Laboratory Press.
3. Anderson S.J., Burr D.C. Spatial and temporal selectivity of the human motion detection system. Vision Research. 25:1985;1147-1154.
4. Anderson S.J., Burr D.C. Receptive field properties of human motion defector units inferred from spatial freguency masking. Vision Research. 29:1989;1343-1358.
5. Anderson S.J., Burr D.C. Spatial summation properties of directionally selective mechanisms in human vision. Journal of the Optical Society of America A. 8:1991;1330-1339.
6. Anderson S.J., Burr D.C., Morrone M.C. Two-dimensional spatial and spatial-frequency selectivity of motion-sensitive mechanisms in human vision. Journal of the Optical Society of America A. 8:1991;1340-1351.
7. Anstis S.M., Ramachandran V.S. Visual inertia in apparent motion. Vision Research. 27:1987;755-764.
8. Daugman J.G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America A. 2:1985;1160-1169.
9. van Doorn A.J., Koenderink J.J. Spatiotemporal integration in the detection of coherent motion. Vision Research. 24:1984;47-53.
10. Emerson R.C., Bergen J.R., Adelson E.H. Directionally selective complex cells and the computation of motion energy in cat visual cortex. Vision Research. 32:1992;203-218.
11. Festa E.K., Welch L. Recruitment mechanisms in speed and fine-direction discrimination tasks. Vision Research. 37:1997;3129-3143.
12. Fredericksen R.E., Verstraten F.A.J., van de Grind W.A. An analysis of the temporal integration mechanism in human motion perception. Vision Research. 34:1994;3153-3170.
13. Fredericksen R.E., Verstraten F.A.J., van de Grind W.A. Spatial summation and its interaction with the temporal integration mechanism in human motion perception. Vision Research. 34:1994;3171-3188.
14. Graham N.V.S. Visual pattern analyzers press. 1989;Oxford University, New York.
15. Graham N., Kramer P., Yager D. Signal detection models for multidimensional stimuli: probability distribution and combination rules. Journal of Mathematical Psychology. 31:1987;366-409.
16. Green D.M., Swets J.A. Signal detection theory and psychophysics. 1966;Wiley, New York.
17. van de Grind W.A., Koenderink J.J., van Doorn A.J. The distribution of human motion detector properties in the monocular visual field. Vision Research. 26:1986;797-810.
18. Grzywacz, N.M., Smith, J.A. & Yuille, A.L. (1989). A common theoretical framework for visual motion's spatial and temporal coherence. The Proceedings of the IEEE Workshop on Visual Motion (pp. 148-155). Washington, IEEE Computer Society.
19. Grzywacz N.M., Watamaniuk S.N.J., McKee S.P. Temporal coherence theory for the detection and measurement of visual motion. Vision Research. 35:1995;3183-3203.
20. Grzywacz N.M., Yuille A.L. A model for the estimate of local image velocity by cells in the visual cortex. Proceedings of the Royal Society of London, B. 239:1990;129-161.
21. Hess R.F., Snowden R.J. Temporal properties of human visual filters: number, shapes, and spatial covariation. Vision Research. 32:1992;47-59.
22. Hubbard, R.S. & Marshall, J.A. (1994). Self-organizing neural network model of the visual inertia phenomenon in motion perception (Technical Report No. 94-001). University of North Carolina, Department of Computer Science, Chapel Hill, p. 26.
23. Jones J.P., Palmer L.A. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. Journal of Neurophysiology. 58:1987;1233-1258.
24. Kulikowski J.J., Tolhurst D.J. Psychophysical evidence for sustained and transient detectors in human vision. Journal of Physiology. 232:1973;149-162.
25. Lu Z-L., Sperling G. The functional architecture of human visual motion perception. Vision Research. 35:1995;2697-2722.
26. McKee S.P., Welch L. Sequential recruitment in the discrimination of velocity. Journal of the Optical Society of America A. 2:1985;243-251.
27. Mikami A., Newsome W.T., Wurtz R.H. Motion selectivity in macaque visual cortex. II. Spatiotemporal range of directional interactions in MT and V1. Journal of Neurophysiology. 55:1986;1328-1351.
28. Nakayama K., Silverman G.H. Temporal and spatial characteristics of the upper displacement limit for motion in random dots. Vision Research. 24:1984;293-299.
29. Nolte L.W., Jaarsma D. More on the detection of one of M orthogonal signals. Journal of the Acoustical Society of America. 41:1967;497-505.
30. Pelli D.G. Uncertainty explains many aspects of visual contrast detection and discrimination. Journal of the Optical Society of America A. 2:1985;1508-1532.
31. Ramachandran V.S., Anstis S.M. Extrapolation of motion path in human visual perception. Vision Research. 23:1983;83-85.
32. Sakata H., Shibutani H., Ito Y., Tsurugai K. Parietal cortical neurons responding to rotary movement of visual stimulus in space. Experimental Brain Research. 61:1986;658-663.
33. Snowden R.J., Braddick O.J. The combination of motion signals over time. Vision Research. 29:1989;1621-1630.
34. Snowden R.J., Braddick O.J. The temporal integration and resolution of velocity signals. Vision Research. 31:1991;907-914.
35. Tanaka K., Saito H. Analysis of motion of the visual field by direction, expansion/contraction, and rotation cells clustered in the dorsal part of the medial superior temporal area of the macaque monkey. Journal of Neurophysiology. 62:1989;626-641.
36. Verghese P., Stone L.S. Combining speed information across space. Vision Research. 35:1995;2811-2823.
37. Verghese P., McKee S.P., Grzywacz N.M. Stimulus configuration determines the detectability of motion signals in noise. Investigative Ophthalmology & Visual Science. 38:1997;215.
38. Watamaniuk S.N.J., McKee S.P. Why is a trajectory more detectable in noise than correlated signal dots? Investigative Ophthalmology & Visual Science. 34:1993;1364.
39. Watamaniuk S.N.J., McKee S.P., Grzywacz N.M. Detecting a trajectory embedded in random-direction motion noise. Vision Research. 35:1995;65-77.
40. Watson A.B. Probability summation over time. Vision Research. 19:1979;515-522.
41. Watson A.B., Nachmias J. Patterns of temporal interaction in the detection of gratings. Vision Research. 17:1977;893-902.
42. Watson A.B., Turano K. The optimal motion stimulus. Vision Research. 35:1995;325-336.
43. Webster M.A., De Valois R.L. Relationship between spatial-frequency and orientation tuning of striate cortical cells. Journal of the Optical Society of America A. 2:1985;1124-1132.
44. Yuille A.L., Burgi P-Y., Grzywacz N.M. Visual motion estimation and prediction: a probabilistic network model for temporal coherence. Watanabe T. High-level motion processing: from computational, neurophysiological and psychophysical perspectives. 1998;MIT Press, Cambridge.