Relating spatial and temporal orientation pooling to population decoding solutions in human vision

Vision Research

Volumn 50, Issue 22, 2010, Pages 2274-2283

  Webb, Ben S ^a   Ledgeway, Timothy ^a   McGraw, Paul V ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Motion; Population decoding; Summary statistics; Texture

Indexed keywords

ARTICLE; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; LUMINANCE; NEUROSCIENCE; NORMAL HUMAN; PATTERN RECOGNITION; POPULATION DECODING; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SPATIAL ORIENTATION; TEMPORAL SUMMATION; TIME PERCEPTION; VISION; VISUAL INFORMATION; VISUAL ORIENTATION; VISUAL STIMULATION;

CONTRAST SENSITIVITY; DISCRIMINATION (PSYCHOLOGY); HUMANS; LIGHTING; MOTION PERCEPTION; ORIENTATION; PATTERN RECOGNITION, VISUAL; SPACE PERCEPTION; VISUAL PERCEPTION;

EID: 77957753412     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2010.04.019     Document Type: Article

References (109)

1. Adelson E.H., Movshon J.A. Phenomenal coherence of moving visual patterns. Nature 1982, 300:523-525.
2. Alais D., Burr D. The ventriloquist effect results from near-optimal bimodal integration. Current Biology 2004, 14:257-262.
3. Albright T.D. Direction and orientation selectivity of neurons in visual area MT of the macaque. Journal of Neurophysiology 1984, 52:1106-1130.
4. Amano K., Edwards M., Badcock D.R., Nishida S. Adaptive pooling of visual motion signals by the human visual system revealed with a novel multi-element stimulus. Journal of Vision 2009, 9:1-25.
5. Andersen J. Perception of three-dimensional structure from optic flow without locally smooth velocity. Journal of Experimental Psychology: Human Perception and Performance 1989, 15:363-371.
6. Anstis S. 'Zigzag motion' goes in unexpected directions. Journal of Vision 2009, 9(17):11-13.
7. Ariely D. Seeing sets: Representation by statistical properties. Psychological Science 2001, 12:157-162.
8. Balas B.J. Texture synthesis and perception: Using computational models to study texture representations in the human visual system. Vision Research 2006, 46:299-309.
9. Balas B., Nakano L., Rosenholtz R. A summary-statistic representation in peripheral vision explains visual crowding. Journal of Vision 2009, 9(13):11-18.
10. Baldassi S., Burr D.C. "Pop-out" of targets modulated in luminance or colour: The effect of intrinsic and extrinsic uncertainty. Vision Research 2004, 44:1227-1233.
11. Baldassi S., Megna N., Burr D.C. Visual clutter causes high-magnitude errors. PLoS Biology 2006, 4:e56.
12. Baldassi S., Verghese P. Comparing integration rules in visual search. Journal of Vision 2002, 2:559-570.
13. Beck J. Textural segmentation, second-order statistics, and textural elements. Biological Cybernetics 1983, 48:125-130.
14. Beck J.M., Ma W.J., Kiani R., Hanks T., Churchland A.K., Roitman J., et al. Probabilistic population codes for Bayesian decision making. Neuron 2008, 60:1142-1152.
15. Blakemore C., Tobin E.A. Lateral inhibition between orientation detectors in the cat's visual cortex. Experimental Brain Research 1972, 15:439-440.
16. Bowns L. Evidence for a feature tracking explanation of why type II plaids move in the vector sum direction at short durations. Vision Research 1996, 36:3685-3694.
17. Bowns L., Alais D. Large shifts in perceived motion direction reveal multiple global motion solutions. Vision Research 2006, 46:1170-1177.
18. Burke D., Wenderoth P. The effect of interactions between one-dimensional component gratings on two-dimensional motion perception. Vision Research 1993, 33:343-350.
19. Cavanaugh J.R., Bair W., Movshon J.A. Selectivity and spatial distribution of signals from the receptive field surround in macaque V1 neurons. Journal of Neurophysiology 2002, 88:2547-2556.
20. Chong S.C., Treisman A. Representation of statistical properties. Vision Research 2003, 43:393-404.
21. Cohen E.H., Singh M., Maloney L.T. Perceptual segmentation and the perceived orientation of dot clusters: The role of robust statistics. Journal of Vision 2008, 8(6):1-13.
22. Cropper S.J., Badcock D.R., Hayes A. On the role of second-order signals in the perceived direction of motion of type II plaid patterns. Vision Research 1994, 34:2609-2612.
23. Dakin S.C. Orientation variance as a quantifier of structure in texture. Spatial Vision 1999, 12:1-30.
24. Dakin S.C., Watt R.J. The computation of orientation statistics from visual texture. Vision Research 1997, 37:3181-3192.
25. David S.V., Hayden B.Y., Gallant J.L. Spectral receptive field properties explain shape selectivity in area V4. Journal of Neurophysiology 2006, 96:3492-3505.
26. DeAngelis G.C., Freeman R.D., Ohzawa I. Length and width tuning of neurons in the cat's primary visual cortex. Journal of Neurophysiology 1994, 71:347-374.
27. Deneve S., Latham P.E., Pouget A. Reading population codes: A neural implementation of ideal observers. Nature Neuroscience 1999, 2:740-745.
28. Dragoi V., Sharma J., Sur M. Adaptation-induced plasticity of orientation tuning in adult visual cortex. Neuron 2000, 28:287-298.
29. Edwards M., Greenwood J.A. The perception of motion transparency: A signal-to-noise limit. Vision Research 2005, 45:1877-1884.
30. Ernst M.O., Banks M.S. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 2002, 415:429-433.
31. Fennema C., Thompson W. Velocity determination in scenes containing several moving objects. Computer Graphics and Image Processing 1979, 9:301-315.
32. Ferrera V.P. Task-dependent modulation of the sensorimotor transformation for smooth pursuit eye movements. Journal of Neurophysiology 2000, 84:2725-2738.
33. Foldiak P. The 'ideal homunculus': Statistical inference from neural population responses. Computation and neural systems 1993, 55-60. Kluwer Academic Publishers, Norwell, MA. F. Eeckman, J. Bower (Eds.).
34. Georgopoulos A.P., Kettner R.E., Schwartz A.B. Primate motor cortex and free arm movements to visual targets in three-dimensional space. II. Coding of the direction of movement by a neuronal population. Journal of Neuroscience 1988, 8:2928-2937.
35. Georgopoulos A.P., Schwartz A.B., Kettner R.E. Neuronal population coding of movement direction. Science 1986, 233:1416-1419.
36. Gheri C., Baldassi S. Non-linear integration of crowded orientation signals. Vision Research 2008, 48:2352-2358.
37. Gold J.I., Shadlen M.N. Neural computations that underlie decisions about sensory stimuli. Trends in Cognitive Sciences 2001, 5:10-16.
38. Groh J.M., Born R.T., Newsome W.T. How is a sensory map read out? Effects of microstimulation in visual area MT on saccades and smooth pursuit eye movements. Journal of Neuroscience 1997, 17:4312-4330.
39. Huang X., Albright T.D., Stoner G.R. Adaptive surround modulation in cortical area MT. Neuron 2007, 53:761-770.
40. Huang X., Lisberger S.G. Noise correlations in cortical area MT and their potential impact on trial-by-trial variation in the direction and speed of smooth-pursuit eye movements. Journal of Neurophysiology 2009, 101:3012-3030.
41. Jacobs R.A. Optimal integration of texture and motion cues to depth. Vision Research 1999, 39:3621-3629.
42. Jazayeri M., Movshon J.A. Optimal representation of sensory information by neural populations. Nature Neuroscience 2006, 9:690-696.
43. Julesz B. A theory of preattentive texture discrimination based on first-order statistics of textons. Biological Cybernetics 1981, 41:131-138.
44. Keeble D.R., Kingdom F.A., Moulden B., Morgan M.J. Detection of orientationally multimodal textures. Vision Research 1995, 35:1991-2005.
45. Kim J., Wilson H.R. Dependence of plaid motion coherence on component grating directions. Vision Research 1993, 33:2479-2489.
46. Kingdom F.A., Hayes A., Field D.J. Sensitivity to contrast histogram differences in synthetic wavelet-textures. Vision Research 2001, 41:585-598.
47. Knill D.C., Pouget A. The Bayesian brain: The role of uncertainty in neural coding and computation. Trends in Neurosciences 2004, 27:712-719.
48. Landy M.S., Maloney L.T., Johnston E.B., Young M. Measurement and modeling of depth cue combination: In defense of weak fusion. Vision Research 1995, 35:389-412.
49. Lisberger S.G., Ferrera V.P. Vector averaging for smooth pursuit eye movements initiated by two moving targets in monkeys. Journal of Neuroscience 1997, 17:7490-7502.
50. Liu F., Wang X.J. A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. PLoS Computational Biology 2008, 4:e1000253.
51. Lorenceau J., Shiffrar M., Wells N., Castet E. Different motion sensitive units are involved in recovering the direction of moving lines. Vision Research 1993, 33:1207-1217.
52. Ma W.J., Beck J.M., Latham P.E., Pouget A. Bayesian inference with probabilistic population codes. Nature Neuroscience 2006, 9:1432-1438.
53. Maffei L., Fiorentini A., Bisti S. Neural correlate of perceptual adaptation to gratings. Science 1973, 182:1036-1038.
54. Masson G.S. From 1D to 2D via 3D: Dynamics of surface motion segmentation for ocular tracking in primates. Journal of Physiology - Paris 2004, 98:35-52.
55. Mingolla E., Todd J.T., Norman J.F. The perception of globally coherent motion. Vision Research 1992, 32:1015-1031.
56. Morgan M., Chubb C., Solomon J. A 'dipper' function for texture discrimination based on orientation variance. Journal of Vision 2008, 8(9):1-8.
57. Morgan M., Ward R., Castet E. Visual search for a tilted target: Tests of spatial uncertainty models. Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology 1998, 51:347-370.
58. Motoyoshi I., Nishida S., Sharan L., Adelson E.H. Image statistics and the perception of surface qualities. Nature 2007, 447:206-209.
59. Movshon J., Adelson E., Gizzi M., Newsome W. The analysis of moving visual patterns. Pattern recognition mechanisms 1986, 117-151. Vatican Press, Rome. C. Chagas, R. Gattass, C. Gross (Eds.).
60. Movshon J.A., Lennie P. Pattern selective adaptation in striate cortical neurones. Nature 1979, 278:850-852.
61. Muller J.R., Metha A.B., Krauskopf J., Lennie P. Rapid adaptation in visual cortex to the structure of images. Science 1999, 285:140-1408.
62. Nichols M.J., Newsome W.T. Middle temporal visual area microstimulation influences veridical judgments of motion direction. Journal of Neuroscience 2002, 22:9530-9540.
63. Osborne L.C., Lisberger S.G. Spatial and temporal integration of visual motion signals for smooth pursuit eye movements in monkeys. Journal of Neurophysiology 2009.
64. Pack C.C., Berezovskii V.K., Born R.T. Dynamic properties of neurons in cortical area MT in alert and anaesthetized macaque monkeys. Nature 2001, 414:905-908.
65. Pack C.C., Born R.T. Temporal dynamics of a neural solution to the aperture problem in visual area MT of macaque brain. Nature 2001, 409:1040-1042.
66. Palmer J. Set-size effects in visual search: The effect of attention is independent of the stimulus for simple tasks. Vision Research 1994, 34:1703-1721.
67. Palmer J., Ames C.T., Lindsey D.T. Measuring the effect of attention on simple visual search. Journal of Experimental Psychology: Human Perception and Performance 1993, 19:108-130.
68. Palmer J., Verghese P., Pavel M. The psychophysics of visual search. Vision Research 2000, 40:1227-1268.
69. Paradiso M.A. A theory for the use of visual orientation information which exploits the columnar structure of striate cortex. Biological Cybernetics 1988, 58:35-49.
70. Parkes L., Lund J., Angelucci A., Solomon J.A., Morgan M. Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience 2001, 4:739-744.
71. Pavlovskaya M., Vol I., Blum B. Facilitation of pattern recognition by cuing foveation with the luminance centroid as origin of the frame of reference. Ophthalmic and Physiological Optics 1992, 12:165-167.
72. Peirce J.W. Psychopy - Psychophysics software in Python. Journal of Neuroscience Methods 2007, 162:8-13.
73. Pouget A., Dayan P., Zemel R. Information processing with population codes. Nature Reviews Neuroscience 2000, 1:125-132.
74. Pouget A., Dayan P., Zemel R.S. Inference and computation with population codes. Annual Review of Neuroscience 2003, 26:381-410.
75. Pouget A., Zhang K., Deneve S., Latham P.E. Statistically efficient estimation using population coding. Neural Computation 1998, 10:373-401.
76. Recanzone G.H., Wurtz R.H. Shift in smooth pursuit initiation and MT and MST neuronal activity under different stimulus conditions. Journal of Neurophysiology 1999, 82:1710-1727.
77. Regan D., Beverley K.I. Postadaptation orientation discrimination. Journal of the Optical Society of America A. Optics and Image Science 1985, 2:147-155.
78. Salinas E., Abbott L.F. Vector reconstruction from firing rates. Journal of Computational Neuroscience 1994, 1:89-107.
79. Salzman C.D., Newsome W.T. Neural mechanisms for forming a perceptual decision. Science 1994, 264:231-237.
80. Sanger T.D. Probability density estimation for the interpretation of neural population codes. Journal of Neurophysiology 1996, 76:2790-2793.
81. Seung H.S., Sompolinsky H. Simple models for reading neuronal population codes. Proceedings of the National Academy of Sciences of the United States of America 1993, 90:10749-10753.
82. Shamir M. The scaling of winner-takes-all accuracy with population size. Neural Computation 2006, 18:2719-2729.
83. Sharan L., Li Y., Motoyoshi I., Nishida S., Adelson E.H. Image statistics for surface reflectance perception. Journal of the Optical Society of America. A, Optics, Image Science, and Vision 2008, 25:846-865.
84. Shaw M. Identifying attentional and decision-making components in information processing. Attention and performance 1980, 106-121. Hillsdale, NJ, Erlbaum. R. Nickerson (Ed.).
85. Shaw M. Attending to multiple sources of information. I. The integration of information in decision making. Cognitive Psychology 1982, 14:353-409.
86. Shiu L.P., Pashler H. Spatial attention and vernier acuity. Vision Research 1995, 35:337-343.
87. Smith M.A., Majaj N.J., Movshon J.A. Dynamics of motion signaling by neurons in macaque area MT. Nature Neuroscience 2005, 8:220-228.
88. Snippe H.P. Parameter extraction from population codes: A critical assessment. Neural Computation 1996, 8:511-529.
89. Solomon J.A., Lavie N., Morgan M.J. Contrast discrimination function: Spatial cuing effects. Journal of the Optical Society of America. A, Optics, Image Science, and Vision 1997, 14:2443-2448.
90. Stone L.S., Thompson P. Human speed perception is contrast dependent. Vision Research 1992, 32:1535-1549.
91. Stone L.S., Watson A.B., Mulligan J.B. Effect of contrast on the perceived direction of a moving plaid. Vision Research 1990, 30:1049-1067.
92. Treue S., Hol K., Rauber H.J. Seeing multiple directions of motion-physiology and psychophysics. Nature Neuroscience 2000, 3:270-276.
93. Verghese P., Stone L.S. Combining speed information across space. Vision Research 1995, 35:2811-2823.
94. Voorhees H., Poggio T. Computing texture boundaries from images. Nature 1988, 333:364-367.
95. Wallace J.M., Stone L.S., Masson G.S. Object motion computation for the initiation of smooth pursuit eye movements in humans. Journal of Neurophysiology 2005, 93:2279-2293.
96. Watamaniuk S., Duchon A. The human visual system averages speed information. Vision Research 1992, 32:931-941.
97. Watt R.J., Morgan M.J., Ward R.M. Stimulus features that determine the visual location of a bright bar. Investigative Ophthalmology and Visual Science 1983, 24:66-71.
98. Webb B.S., Dhruv N.T., Solomon S.G., Tailby C., Lennie P. Early and late mechanisms of surround suppression in striate cortex of macaque. Journal of Neuroscience 2005, 25:11666-11675.
99. Webb B.S., Ledgeway T., McGraw P.V. Cortical pooling algorithms for judging global motion direction. PNAS 2007, 104:3532-3537.
100. Weiss Y., Fleet D.J. Velocity likelihoods in biological and machine vision. Probabilistic models of the brain: Perception and neural function 2002, MIT Press, Cambridge. B. Olshausen, M.S. Lewicki (Eds.).
101. Weiss Y., Simoncelli E.P., Adelson E.H. Motion illusions as optimal percepts. Nature Neuroscience 2002, 5:598-604.
102. Whitaker D., McGraw P.V., Pacey I., Barrett B.T. Centroid analysis predicts visual localization of first- and second-order stimuli. Vision Research 1996, 36:2957-2970.
103. Williams D., Sekuler R. Coherent global motion percepts from stochastic local motions. Vision Research 1984, 24:55-62.
104. Wilson H.R., Ferrera V.P., Yo C. A psychophysically motivated model for two-dimensional motion perception. Visual Neuroscience 1992, 9:79-97.
105. Wilson H.R., Kim J. Perceived motion in the vector sum direction. Vision Research 1994, 34:1835-1842.
106. Yang J., Lisberger S.G. Relationship between adapted neural population responses in MT and motion adaptation in speed and direction of smooth-pursuit eye movements. Journal of Neurophysiology 2009, 101:2693-2707.
107. Yo C., Wilson H.R. Perceived direction of moving two-dimensional patterns depends on duration, contrast and eccentricity. Vision Research 1992, 32:135-147.
108. Zemel R.S., Dayan P., Pouget A. Probabilistic interpretation of population codes. Neural Computation 1998, 10:403-430.
109. Zohary E., Scase M.O., Braddick O.J. Integration across directions in dynamic random dot displays: Vector summation or winner take all?. Vision Research 1996, 36:2321-2331.