Neurophysiological evidence for the influence of past experience on figure-ground perception

Journal of Vision

Volumn 10, Issue 2, 2010, Pages 1-21

  Trujillo, Logan T ^a   Allen, John J B ^b   Schnyer, David M ^a   Peterson, Mary A ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b University of Arizona   (United States)

Author keywords

Electrophysiology; Evoked potentials; Perceptual organization; Shape and contour; Visual cognition

Indexed keywords

ADULT; ARTICLE; COGNITION; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; MALE; MEMORY; METHODOLOGY; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY;

COGNITION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; FORM PERCEPTION; HUMANS; MALE; MEMORY; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; YOUNG ADULT;

EID: 77955501644     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/10.2.5     Document Type: Article

References (87)

1. Appelbaum, L. G., Wade, A. R., Vildavski, V. Y., Pettet, M. W., & Norcia, A. M. (2006). Cue-invariant networks for figure and background processing in human visual cortex. Journal of Neuroscience, 26, 11695-11708.
2. Bach, M., & Meigen, T. (1990). Electrophysiological correlates of texture-segmentation in the human observers. Investigative Ophthalmology & Visual Science (ARVO Supplement), 31, 104.
3. Bach, M., & Meigen, T. (1992). Electrophysiological correlates of texture segregation in the human visual evoked potential. Vision Research, 32, 417-424.
4. Bach, M., & Meigen, T. (1997). Similar electrophysiological correlates of texture segregation induced by luminance, orientation, motion and stereo. Vision Research, 37, 1409-1414.
5. Baylis, G. C., & Driver, J. (2001). Shape-coding in IT cells generalizes over contrast and mirror reversal, but not figure-ground reversal. Nature Neuroscience, 4, 937-942.
6. Beck, D. M., & Kastner, S. (2005). Stimulus context modulates competition in human extrastriate cortex. Nature Neuroscience, 8, 1110-1116.
7. Blair, R. C., & Karniski, W. (1993). An alternative method for significance testing of waveform potentials. Psychophysiology, 30, 518-524.
8. Bülthoff, I., & Bülthoff, H. H. (2003). Image-based recognition of biological motion, scenes, and objects. In M. A. Peterson & G. Rhodes (Eds.), Perception of objects, faces, and scenes: Analytic and holistic processes (pp. 146-176). New York: Oxford University Press.
9. Caputo, G., & Casco, C. (1999). A visual evoked potential correlate of global figure-ground segmentation. Vision Research, 39, 1597-1610.
10. Caputo, G., Romani, A., Callieco, R., Gaspari, D., & Cosi, V. (1999). Amodal completion in texture visual evoked potentials. Vision Research, 39, 31-38.
11. Craft, E., Schütze, H., Niebur, E., & von der Heydt, R. (2007). A neural model of figure-ground organization. Journal of Neurophysiology, 97, 4310-4326.
12. Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134, 9-21.
13. Desimone, R., Schein, S. J., Moran, J., & Ungerleider, L. G. (1985). Contour, color and shape analysis beyond the striate cortex. Vision Research, 25, 441-452.
14. Di Russo, F., Martinez, A., Sereno, M. I., Pitzalis, S., & Hillyard, S. A. (2002). Cortical sources of the early components of the visual evoked potential. Human Brain Mapping, 15, 95-111.
15. Doniger, G. M., Foxe, J. J., Murray, M. M., Higgins, B. A., Snodgrass, J. G., Schroeder, C. E., et al. (2000). Activation time course of ventral visual stream object-recognition areas: High density electrical mapping of perceptual closure processes. Journal of Cognitive Neuroscience, 12, 615-621.
16. Doniger, G. M., Foxe, J. J., Schroeder, C. E., Murray, M. M., Higgins, B. A., & Javitt, D. C. (2001). Visual perceptual learning in human object recognition areas: A repetition priming study using high-density electrical mapping. Neuroimage, 13, 305-313.
17. Driver, J., & Baylis, G. C. (1995). One-sided edge assignment in vision: II. Part decomposition, shape description, and attention to objects. Current Directions in Psychological Science, 4, 201-206.
18. Forster, K. I., & Forster, J. C. (2003). DMDX: A windows display program with millisecond accuracy. Behavioral Research Methods Instruments & Computers, 35, 116-124.
19. George, N., Jemel, B., Fiori, N., & Renault, B. (1997). Face and shape repetition effects in humans: A spatio-temporal ERP study. Neuroreport, 8, 1417-1423.
20. Goffaux, V., Gauthier, I., & Rossion, B. (2003). Spatial scale contribution to early visual differences between face and object processing. Brain Research. Cognitive Brain Research, 16, 416-424.
21. Guthrie, D., & Buchwald, J. S. (1991). Significance testing of difference potentials. Psychophysiology, 28, 240-244.
22. Heinen, K., Jolij, J., & Lamme, V. A. (2005). Figure-ground segregation requires two distinct periods of activity in V1: A transcranial magnetic stimulation study. Neuroreport, 16, 1483-1487.
23. Hertz, S., Porjesz, B., Begleiter, H., & Chorlisan, D. (1994). Event-related potentials to faces: The effects of priming and recognition. Electroencephalography and Clinical Neurophysiology, 92, 342-351.
24. Johannes, S., Munte, T. F., Heinze, H. J., & Mangun, G. R. (1995). Luminance and spatial attention effects on early visual processing. Brain Research. Cognitive Brain Research, 2, 189-205.
25. Kastner, S., De Weerd, P., Desimone, R., & Ungerleider, L. G. (1998). Mechanisms of directed attention in the human extrastriate cortex as revealed by functional MRI. Science, 282, 108-111.
26. Kastner, S., De Weerd, P., Pinsk, M. A., Elizondo, M. I., Desimone, R., & Ungerleider, L. G. (2001). Modulation of sensory suppression: Implications for receptive field sizes in the human visual cortex. Journal of Neurophysiology, 86, 1398-1411.
27. Kastner, S., & Ungerleider, L. G. (2001). The neural basis of biased competition in human visual cortex. Neuropsychologia, 39, 1263-1276. [PubMed]
28. Kayser, J. (2009). Current source density (CSD) interpolation using spherical splinesVCSD Toolbox (Version 1.0) [Software]. Available from http://psychophysiology.cpmc.columbia.edu/Software/AQ11681_CSDtoolbox/index.html.
29. Kayser, J., & Tenke, C. E. (2006a). Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks. Clinical Neurophysiology, 117, 348-368.
30. Kayser, J., & Tenke, C. E. (2006b). Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates. Clinical Neurophysiology, 117, 369-380.
31. Kienker, P. K., Sejnowski, T. J., Hinton, G. E., & Schumacher, L. E. (1986). Separating figure from ground with a parallel network. Perception, 15, 197-216.
32. Kobatake, E., & Tanaka, K. (1994). Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. Journal of Neurophysiology, 71, 856-867.
33. Lamme, V. A., Rodriguez-Rodriguez, V., & Spekreijse, H. (1999). Separate processing dynamics for texture elements, boundaries and surfaces in primary visual cortex of the macaque monkey. Cerebral Cortex, 9, 406-413.
34. Lamme, V. A., van Dijk, B. W., & Spekreijse, H. (1992). Texture segregation is processed by primary visual cortex in man and monkey. Evidence from VEP experiments. Vision Research, 32, 797-807.
35. Lamme, V. A., van Dijk, B. W., & Spekereijse, H. (1993). Organization of texture segregation processing in primate visual cortex. Visual Neuroscience, 10, 781-790.
36. Lamme, V. A., Zipser, K., & Spekreijse, H. (1998). Figure-ground activity in primary visual cortex is suppressed by anesthesia. Proceedings of the National Academy of Sciences of the United States of America, 95, 3263-3268.
37. Law, S. K., Nunez, P. L., & Wijesinghe, R. S. (1993). High-resolution EEG using spline generated surface Laplacians on spherical and ellipsoidal surfaces. IEEE Transactions in Biomedical Engineering, 40, 145-153.
38. Linkenkaer-Hansen, K., Palva, J. M., Sams, M., Hietanen, J. K., Aronen, H. J., & Ilmoniemi, R. J. (1998). Face-selective processing in human extrastriate cortex around 120 ms after stimulus onset revealed by magneto-and electroencephalography. Neuroscience Letters, 253, 147-150.
39. Lins, O. G., Picton, T. W., Berg, P., & Scherg, M. (1993). Ocular artifacts in EEG and event-related potentials: I. Scalp topography. Brain Topography, 6, 51-63.
40. Logothetis, N. K., Pauls, J., & Poggio, T. (1995). Shape representation in the inferior temporal cortex of monkeys. Current Biology, 5, 552-563.
41. Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997). Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal of Neurophysiology, 77, 24-42.
42. McNicol, D. (1972). A primer of signal detection theory. London: Allen and Unwin.
43. Miller, E. K., Gochin, P. M., & Gross, C. G. (1993). Suppression of visual responses of neurons in inferior temporal cortex of the awake macaque by addition of a second stimulus. Brain Research, 616, 25-29.
44. Miller, G. A., Lutzenberger, W., & Elbert, T. (1991). The linked-reference issue in EEG and ERP recording. Journal of Psychophysiology, 5, 273-276.
45. Moran, J., & Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229, 782-784.
46. Murray, M. M., Imber, M. L., Javitt, D. C., & Foxe, J. J. (2006). Boundary completion is automatic and dissociable from shape discrimination. Journal of Neuroscience, 26, 12043-12054.
47. Murray, M. M., Wylie, G. R., Higgins, B. A., Javitt, D. C., Schroeder, C. E., & Foxe, J. J. (2002). The spatiotemporal dynamics of illusory contour processing: Combined high-density electrical mapping, source analysis, and functional magnetic resonance imaging. Journal of Neuroscience, 22, 5055-5073.
48. Neri, P., & Levi, D. M. (2007). Temporal dynamics of figure-ground segregation in human vision. Journal of Neurophysiology, 97, 951-957.
49. Nichols, T. E., & Holmes, A. P. (2002). Nonparametric permutation tests for functional neuroimaging: A primer with examples. Human Brain Mapping, 15, 1-25.
50. Nuñez, P. L., & Srinivasan, R. (2006). Electric fields of the brain (2nd ed.). New York: Oxford University Press.
51. Palmer, S. E. (1999). Vision science. Cambridge, MA: MIT Press.
52. Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1989). Spherical splines for scalp potential and current density mapping. Electroencephalography and Clinical Neurophysiology, 72, 184-187.
53. Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1990). Corrigenda EEG 02274. Electroencephalography and Clinical Neurophysiology, 76, 565.
54. Perrin, F., Pernier, J., Bertrand, O., Giard, M. H., & Echallier, J. F. (1987). Mapping of scalp potentials by surface spline interpolation. Electroencephalography and Clinical Neurophysiology, 66, 75-81.
55. Peterson, M. A. (1994). Object recognition processes can and do operate before figure-ground organization. Current Directions in Psychological Science, 3, 105-111.
56. Peterson, M. A. (1999). What's in a stage name? Journal of Experimental Psychology: Human Perception and Performance, 25, 276-286.
57. Peterson, M. A. (2003). Overlapping partial configurations in object memory: An alternative solution to classic problems in perception and recognition. In M. A. Peterson & G. Rhodes (Eds.), Perception of objects, faces, and scenes: Analytic and holistic processes (pp. 269-294). New York: Oxford University Press.
58. Peterson, M. A., de Gelder, B., Rapcsak, S. Z., Gerhardstein, P. C., & Bachoud-Levi, A. (2000). Object memory effects on figure assignment: Conscious object recognition is not necessary or sufficient. Vision Research, 40, 1549-1567.
59. Peterson, M. A., & Enns, J. T. (2005). The edge complex: Implicit memory for figure assignment in shape perception. Perception & Psychophysics, 67, 727-740.
60. Peterson, M. A., & Gibson, B. S. (1994a). Must shape recognition follow figure-ground organization? An assumption in peril. Psychological Science, 5, 253-259.
61. Peterson, M. A., & Gibson, B. S. (1994b). Object recognition contributions to figure-ground organization: Operations on outlines and subjective contours. Perception & Psychophysics, 56, 551-564.
62. Peterson, M. A., Harvey, E. M., & Weidenbacher, H. J. (1991). Shape recognition contributions to figure-ground reversal: Which route counts? Journal of Experimental Psychology: Human Perception and Performance, 17, 1075-1089.
63. Peterson, M. A., & Kim, J. H. (2001). On what is bound in figures and grounds. Visual Cognition, 8, 329-348.
64. Peterson, M. A., & Lampignano, D. W. (2003). Implicit memory for novel figure-ground displays includes a history of cross-border competition. Journal of Experimental Psychology: Human Perception and Performance, 29, 808-822.
65. Peterson, M. A., & Salvagio, E. (2009). Attention and competition in figure-ground perception. In N. Srinivasan (Ed.), Progress in brain research (vol. 176, pp. 1-13). Amsterdam, The Netherlands: Elsevier.
66. Peterson, M. A., & Skow, E. (2008). Inhibitory competition between shape properties in figure-ground perception. Journal of Experimental Psychology: Human Perception and Performance, 34, 251-267.
67. Peterson, M. A., & Skow-Grant, E. (2003). Memory and learning in figure-ground perception. In D. Irwin & B. Ross (Eds.), Cognitive vision (pp. 1-35). San Diego, CA: Academic Press.
68. Qiu, F. T., Sugihara, T., & von der Heydt, R. (2007). Figure-ground mechanisms provide structure for selective attention. Nature Neuroscience, 10, 1492-1499.
69. Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999). Competitive mechanisms subserve attention in macaque areas V2 and V4. Journal of Neuroscience, 19, 1736-1753.
70. Rolls, E. T., & Tovee, M. J. (1995). The responses of single neurons in the temporal visual cortical areas of the macaque when more than one stimulus is present in the receptive field. Experimental Brain Research, 103, 409-420.
71. Rousselet, G. A., Mace, M. J., Thorpe, S. J., & Fabre-Thorpe, M. (2007). Limits of event-related potential differences in tracking object processing speed. Journal of Cognitive Neuroscience, 19, 1241-1258.
72. Rubin, E. (1915/1958). Figure and ground. In D. Beardslee, & M. Wertheimer (Eds.), Readings in perception (pp. 35-101). Princeton, NJ: Van Nostrand. (Originally published in 1915).
73. Sary, G., Vogels, R., & Orban, G. A. (1993). Cueinvariant shape selectivity of macaque inferior temporal neurons. Science, 260, 995-997.
74. Schendan, H. E., & Kutas, M. (2003). Time course of processes and representations supporting visual object identification and memory. Journal of Cognitive Neuroscience, 15, 111-135.
75. Scholte, H. S., Jolij, J., Fahrenfort, J. J., & Lamme, V. A. (2008). Feedforward and recurrent processing in scene segmentation: Electroencephalography and functional magnetic resonance imaging. Journal of Cognitive Neuroscience, 20, 2097-2109.
76. Scholte, H. S., Witteveen, S. C., Spekreijse, H., & Lamme, V. A. (2006). The influence of inattention on the neural correlates of scene segmentation. Brain Research, 1076, 106-115.
77. Seeck, M., Michel, C. M., Mainwaring, N., Cosgrove, R., Blume, H., Ives, J., et al. (1997). Evidence for rapid face recognition from human scalp and intracranial electrodes. Neuroreport, 8, 2749-2754.
78. Supèr, H., Spekreijse, H., & Lamme, V. A. F. (2001). Two distinct modes of sensory processing observed in monkey primary visual cortex (V1). Nature Neuroscience, 4, 304-310.
79. Tanaka, K. (1996). Inferotemporal cortex and object vision. Annual Review of Neuroscience, 19, 109-139.
80. Thierry, G., Martin, C. D., Downing, P., & Pegna, A. J. (2007). Controlling for interstimulus perceptual variance abolishes N170 face selectivity. Nature Neuroscience, 10, 505-511.
81. Trujillo, L. T., Peterson, M. A., Kaszniak, A. W., & Allen, J. J. (2005). EEG phase synchrony differences across visual perception conditions may depend on recording and analysis methods. Clinical Neurophysiology, 116, 172-189.
82. VanRullen, R., & Thorpe, S. J. (2001). The time course of visual processing: From early perception to decision-making. Journal of Cognitive Neuroscience, 13, 454-461.
83. Vecera, S. P., & O'Reilly, R. C. (1998). Figure-ground organization and object recognition processes: An interactive account. Journal of Experimental Psychology: Human Perception and Performance, 24, 441-462.
84. von der Heydt, R., Zhou, H., & Friedman, H. S. (2003). Neural coding of border ownership: Implications for the theory of figure-ground perception. In R. Kimchi, M. Behrmann, & C. R. Olsen (Eds.), Perceptual organization in vision: Behavioral and neural perspectives (pp. 281-294). Mahwah, NJ: Lawrence Erlbaum Associates.
85. Zhang, X. L., Begleiter, H., Porjesz, B., Wang, W., & Litke, A. (1995). Event related potentials during object recognition tasks. Brain Research Bulletin, 38, 531-538.
86. Zhou, H., Friedman, H. S., & von der Heydt, R. (2000). Coding of border ownership in monkey visual cortex. Journal of Neuroscience, 20, 6594-6611.
87. Zipser, K., Lamme, V. A., & Schiller, P. H. (1996). Contextual modulation in primary visual cortex. Journal of Neuroscience, 16, 7376-7389.