Motion clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception

Journal of Neurophysiology

Volumn 107, Issue 11, 2012, Pages 3217-3226

  Leon, Paula Sanz ^a   Vanzetta, Ivo ^a   Masson, Guillaume S ^a   Perrinet, Laurent U ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Eye movements; Low level sensory systems; Motion detection; Natural scenes; Optimal stimulation; Python

Indexed keywords

ARTICLE; HEARING; MATHEMATICAL MODEL; MODEL; MOTION; MOTION CLOUD; MOVEMENT PERCEPTION; PRIORITY JOURNAL; STIMULUS; TOUCH; VISION;

COLOR PERCEPTION; MODELS, NEUROLOGICAL; MOTION PERCEPTION; PHOTIC STIMULATION; RANDOM ALLOCATION; TOUCH;

EID: 84861868044     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00737.2011     Document Type: Article

References (80)

1. Adelson EH, Bergen JR. Spatiotemporal energy models for the perception of motion. J Opt Soc Am A. 284-299, 1985.
2. Atick JJ. Could information theory provide an ecological theory of sensory processing? Network 3: 213-252, 1992.
3. Blasdel GG, Salama G. Voltage-sensitive dyes reveal a modular organization in monkey striate cortex. Nature 321: 579-585, 1986.
4. Born RT, Bradley DC. Structure and function of visual area MT. Ann Rev Neurosci 28: 157-189, 2005.
5. Braddick O. Segmentation versus integration in visual motion processing. Trends Neurosci 16: 263-268, 1993.
6. Bradley DC, Goyal MS. Velocity computation in the primate visual system. Nat Neurosci 9: 686-695, 2008.
7. Brainard DH. The psychophysics toolbox. Spat Vis 10: 433-436, 1997.
8. Burr D, Thompson P. Motion psychophysics: 1985-2010. Vision Res 51: 1431-1456, 2011.
9. Carandini M, Demb JB, Mante V, Tolhurst DJ, Dan Y, Olshausen BA, Gallant JL, Rust NC. Do we know what the early visual system does? J Neurosci 25: 10577-10597, 2005.
10. Conway BR, Moeller S, Tsao DY. Specialized color modules in macaque extrastriate cortex. Neuron 56: 560-573, 2007.
11. Dan Y, Atick JJ, Reid RC. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J Neurosci 16: 3351-3362, 1996.
12. Daugman JG. Two-dimensional spectral analysis of cortical receptive field profiles. Vision Res 20: 847-856, 1980.
13. Derrington AM, Allen HA, Delicato LS. Visual mechanisms of motion analysis and motion perception. Annu Rev Psychol 55: 181-205, 2004.
14. DeValois RL, DeValois KK. Spatial Vision. Oxford, UK: Oxford Univ. Press, 1988.
15. Drewes J, Barthelemy F, Masson GS. Human ocular following and natural scene statistics. J Vis 8: 383, 2008.
16. Essock EA, Haun AM, Kim YJ. An anisotropy of orientation-tuned suppression that matches the anisotropy of typical natural scenes. J Vis 9: 35.1-15, 2009.
17. Felsen G, Dan Y. A natural approach to studying vision. Nat Neurosci 8: 1643-1646, 2005.
18. Field DJ. Relations between the statistics of natural images and the response properties of cortical cells. J Opt Soc Am A 4: 2379-2394, 1987.
19. Field DJ. What is the goal of sensory coding? Neural Comput 6: 559-601, 1994.
20. Field DJ. Wavelets, vision and the statistics of natural scenes. Philos T Roy Soc A 357: 2527-2542, 1999.
21. Fischer S, Sroubek F, Perrinet LU, Redondo R, Cristóbal G. Self-invertible 2D log-gabor wavelets. Int J Comput Vis 75: 231-246, 2007.
22. Galerne B, Gousseau Y, Morel JM. Random phase textures: theory and synthesis. IEEE Trans Image Process 20: 257-267, 2010.
23. Geisler WS, Ringach D. Natural systems analysis. Vis Neurosci 26: 1-3, 2009.
24. Graham N. Does the brain perform a fourier analysis of the visual scene? Trends Neurosci 2: 207-208, 1979.
25. Hansen B, Hess R. The role of spatial phase in texture segmentation and contour integration. J Vis: 594-615, 2006.
26. Heeger DJ, Simoncelli EP, Movshon JA. Computational models of cortical visual processing. Proc Natl Acad Sci USA 93: 623-627, 1996.
27. Henriksson L, Nurminen L, Hyvärinen A, Vanni S. Spatial frequency tuning in human retinotopic visual areas. J Vis 8: 5.1-13, 2008.
28. Hess R, Hayes A, Field DJ. Contour integration and cortical processing. J Physiol (Paris) 97: 105-119, 2003.
29. Jacob V, Le Cam J, Ego-Stengel V, Shulz DE. Emergent properties of tactile scenes selectively activate barrel cortex neurons. Neuron 60: 1112-1125, 2008.
30. Jasinschi R, Rosenfeld A, Sumit K. Perceptual motion transparency: the role of geometrical information. J Opt Soc Am A 9: 1865-1879, 1992.
31. Jones JP, Palmer LA. An evaluation of the two-dimensional gabor filter model of simple receptive fields in cat striate cortex. J Neurophysiol 58: 1233-1258, 1987.
32. Klein DJ, Depireux DA, Simon JZ, Shamma SA. Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design. J Comput Neurosci 9: 85-111, 2000.
33. Lagae A, Lefebvre S, Drettakis G, Dutré P. Procedural noise using sparse gabor convolution. Technical Report Report CW 545. Leuven, Belgium: Dept. of Computer Science, K. U. Leuven, 2009.
34. Lee TS. Image representation using 2D gabor wavelets. IEEE T Pattern Anal 18: 959-971, 1996.
35. Lewis JP. Texture synthesis for digital painting. ACM SIG-GRAPH 18: 245-252, 1984.
36. Lu ZL, Sperling G. Three-systems theory of human visual motion perception: review and update. J Opt Soc Am A 18: 2331-2270, 2001.
37. Mainen ZF, Sejnowski TJ. Reliability of spike timing in neocortical neurons. Science 268: 1503-1506, 1995.
38. Marcelja S. Mathematical description of the responses of simple cortical cells. J Opt Soc Am A 70: 1297-1300, 1980.
39. Masson GS, Castet E. Parallel motion processing for the initiation of shortlatency ocular following in humans. J Neurosci 22: 5149-5163, 2002.
40. Masson GS, Ilg UJ. (editors). Dynamics of Visual Motion Processing: Neuronal, Behavioral and Computational Approaches (1st ed.). Berlin, Germany: Springer, 2010.
41. Movshon JA, Adelson EH, Gizzi MS, Newsome, (1985) WT. The analysis of moving visual patterns. In: Pattern Recognition Mechanisms. edited by Chagas C, Gattass R, Gross C. Rome: Vatican Press, 1985, vol 554, p. 117-151.
42. Neri P, Morrone MC, Burr DC. Seeing biological motion. Nature 395: 894-896, 1988.
43. Newsome WT. Deciding about motion: linking perception to action. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 181: 5-12, 1997.
44. Nishimoto S, Gallant JL. A three-dimensional spatiotemporal receptive field model explains responses of area MT neurons to naturalistic movies. J Neurosci 31: 14551-14564, 2011.
45. Oliva A, Torralba A. Modeling the shape of the scene: a holistic representation of the spatial envelope. Int J Comput Vision 42: 145-175, 2001.
46. Oppenheim AV, Lim JS. The importance of phase in signals. Proc IEEE 69: 529-541, 1981.
47. Pei YC, Hsiao SS, Craig JC, Bensmaia SJ. Neural mechanisms of tactile motion integration in somatosensory cortex. Neuron 69: 536-547, 2011.
48. Pelli DG. The videotoolbox software for visual psychophysics: transforming numbers into movies. Spatial Vision 10: 437-442, 1997.
49. Perrinet L, Fitzpatrick D, Bednar JA. Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1. In: Society for Neuroscience Abstracts. program no. 530.04, 2011.
50. Perrinet LU. Role of homeostasis in learning sparse representations. Neural Comput 22: 1812-1836, 2010.
51. Perrone JA, Thiele A. Speed skills: measuring the visual speed analyzing properties of primate MT neurons. Nat Neurosci 4: 526-532, 2001.
52. Perrone JA, Thiele A. A model of speed tuning in MT neurons. Vision Res 42: 1035-1051, 2002.
53. Phillips F, Todd J. Texture discrimination based on global feature alignments. J Vis 10: 6, 2010.
54. Priebe N, Cassanello C, Lisberger S. The neural representation of speed in macaque area MT/V5. J Neurosci 23: 5650-5661, 2003.
55. Priebe N, Lisberger S, Movshon JA. Tuning for spatiotemporal frequency and speed in directionally selective neurons of macaque striate cortex. J Neurosci 26: 2941-2950, 2006.
56. Rieke F, Bodnar DA, Bialek W. Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents. Proc Biol Sci 262: 259-265, 1996.
57. Rust NC, Mante V, Simoncelli EP, Movshon JA. How MT cells analyze the motion of visual patterns. Nat Neurosci 9: 1421-1431, 2006.
58. Rust NC, Movshon JA. In praise of artifice. Nat Neurosci 8: 1647-1650, 2005.
59. Rust NC, Schwartz O, Movshon JA, Simoncelli EP. Spatiotemporal elements of macaque V1 receptive fields. Neuron 46: 945-956, 2005.
60. Scarfe P, Johnston A. Motion drag induced by global motion gabor arrays. J Vis 10: 14, 2010.
61. Schrater PR, Knill DC, Simoncelli EP. Mechanisms of visual motion detection. Nat Neurosci 3: 64-68, 2000.
62. Schwartz O, Simoncelli EP. Natural signal statistics and sensory gain control. Nat Neurosci 4: 819-825, 2001.
63. Simoncelli EP, Heeger DJ. A model of neuronal responses in visual area MT. Vision Res 38: 743-761, 1998.
64. Simoncini C, Perrinet LU, Montagnini A, Mamassian P, Masson G. Measuring speed of moving textures: different pooling of motion information for human ocular following and perception. Front. Neurosci. Conference Abstract: Neural Coding. Decision-Making & Integration in Time. First published January 16, 2012; doi:10.3389/conf.fnins.2012.86.00016.
65. Singh KD, Smith AT, Greenlee MW. Spatiotemporal frequency and direction sensitivities of human visual areas measured using fMRI. NeuroImage 12: 550-564, 2000.
66. Smith A, Edgar G. The influence of spatial frequency on perceived temporal frequency and perceived speed. Vision Res 30: 1467-1474, 1990.
67. Solomon SG, Tailby C, Cheong SK, Camp AJ. Linear and nonlinear contributions to the visual sensitivity of neurons in primate lateral geniculate nucleus. J Neurophysiol 104: 1884-1898, 2010.
68. Torralba A, Oliva, (2003) A. Statistics of natural image categories. In: Network: Computation in Neural Systems. 2003, p. 391-412.
69. Touryan J. Analysis of sensory coding with complex stimuli. Curr Opin Neurobiol 11: 443-448, 2001.
70. Ts'o D, Frostig R, Lieke E, Grinvald A. Functional organization of primate visual cortex revealed by high resolution optical imaging. Science 249: 417-420, 1990.
71. Tsuchiya N, Braun J. Contrast thresholds for component motion with full and poor attention. J Vis 7: 1, 2007.
72. Turing A. The chemical basis of morphogenesis. Philos. Trans. Roy. Soc. London Ser. B. 1952, vol. 327, p. 37-72.
73. Victor J, Conte M. The role of high-order phase correlations in texture processing. Vision Res 36: 1615-1631, 1996.
74. Vinje WE, Gallant JL. Sparse coding and decorrelation in primary visual cortex during natural vision. Science 287: 1273-1276, 2000.
75. Wang C, Yao H. Sensitivity of V1 neurons to direction of spectral motion. Cereb Cortex 21: 964-973, 2011.
76. Watson A, Eckert M. Motion-contrast sensitivity: visibility of motion gradients of various spatial frequencies. J Opt Soc Am A 11: 486-505, 1994.
77. Watson A, Turano K. The optimal motion stimulus. Vision Res 35: 325-336, 1995.
78. Watson AB, Barlow HB, Robson JG. What does the eye see best? Nature 302: 419-422, 1983.
79. Wu MCK, David SV, Gallant JL. Complete functional characterization of sensory neurons by system identification. Annu Rev Neurosci 29: 477-505, 2006.
80. Zeki S. Colour coding in the cerebral cortex: the reaction of cells in monkey visual cortex to wavelengths and colours. Neuroscience 9: 741-765, 1983.