Figure-ground interaction in the human visual cortex

Journal of Vision

Volumn 8, Issue 9, 2008, Pages

  Appelbaum, Lawrence G ^a   Wade, Alex R ^b   Pettet, Mark W ^b   Vildavski, Vladimir Y ^b   Norcia, Anthony M ^b  

^a DUKE UNIVERSITY   (United States)

^b SMITH KETTLEWELL EYE RESEARCH INSTITUTE   (United States)

Author keywords

Evoked potentials; Figure ground; Scene segmentation; Source imaging; Spatio temporal interaction; Visual cortex

Indexed keywords

ADULT; ARTICLE; BIOLOGICAL MODEL; BRAIN MAPPING; DEPTH PERCEPTION; ELECTROENCEPHALOGRAPHY; HUMAN; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; RETINA; VISUAL CORTEX;

ADULT; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; FORM PERCEPTION; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; PHOTIC STIMULATION; RETINA; SPACE PERCEPTION; VISUAL CORTEX;

EID: 47749110941     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/8.9.8     Document Type: Article

References (51)

1. Allman, J., Miezin, F., & McGuinness, E. (1985). Direction- and velocity- specific responses from beyond the classical receptive field in the middle temporal visual area (MT). Perception, 14, 105-126.
2. Angelucci, A., & Bressloff, P. C. (2006). Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons. Progress in Brain Research, 154, 93-120.
3. 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.
4. Bach, M., & Meigen, T. (1992). Electrophysiological correlates of texture segregation in the human visual evoked potential. Vision Research, 32, 417-424.
5. Baitch, L. W., & Levi, D. M. (1988). Evidence for nonlinear binocular interactions in human visual cortex. Vision Research, 28, 1139-1143.
6. Biederlack, J., Castelo-Branco, M., Neuenschwander, S., Wheeler, D. W., Singer, W., & Nikolić, D. (2006). Brightness induction: Rate enhancement and neuronal synchronization as complementary codes. Neuron, 52, 1073-1083.
7. Blakemore, C., & Tobin, E. A. (1972). Lateral inhibition between orientation detectors in the cat's visual cortex. Experimental Brain Research, 15, 439-440.
8. Brewer, A. A., Liu, J., Wade, A. R., & Wandell, B. A. (2005). Visual field maps and stimulus selectivity in human ventral occipital cortex. Nature Neuroscience, 8, 1102-1109.
9. Burton, G. J. (1973). Evidence for non-linear response processes in the human visual system from measurements on the thresholds of spatial beat frequencies. Vision Research, 13, 1211-1225.
10. Candy, T. R., Skoczenski, A. M., & Norcia, A. M. (2001). Normalization models applied to orientation masking in the human infant. Journal of Neuroscience, 21, 4530-4541.
11. DeYoe, E. A., Carman, G. J., Bandettini, P., Glickman, S., Wieser, J., Cox, R., et al. (1996). Mapping striate and extrastriate visual areas in human cerebral cortex. Proceedings of the National Academy of Sciences of the United States of America, 93, 2382-2386.
12. Dupont, P., De Bruyn, B., Vandenberghe, R., Rosier, A. M., Michiels, J., Marchal, G., et al. (1997). The kinetic occipital region in human visual cortex. Cerebral Cortex, 7, 283-292.
13. Grill-Spector, K., Kushnir, T., Edelman, S., Itzchak, Y., & Malach, R. (1998). Cue-invariant activation in object-related areas of the human occipital lobe. Neuron, 21, 191-202.
14. Grossberg, S., & Mingolla, E. (1985). Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations. Perception & Psychophysics, 38, 141-171.
15. Hou, C., Pettet, M. W., Sampath, V., Candy, T. R., & Norcia, A. M. (2003), Development of the spatial organization and dynamics of lateral interactions in the human visual system. Journal of Neuroscience, 23, 8630-8640.
16. Huk, A. C., Dougherty, R. F., & Heeger, D. J. (2002). Retinotopy and functional subdivision of human areas MT and MST. Journal of Neuroscience, 22, 7195-7205.
17. Johnson, R. A., & Wichern, D. W. (1998). Applied multivariate statistical analysis (pp. 236-239). Upper Saddle River, NJ: Prentice Hall.
18. Kandil, F. I., & Fable, M. (2003). Electrophysiological correlates of purely temporal figure-ground segregation. Vision Research, 43, 2583-2589.
19. Keselman, H. J., Algina, J., & Kowalchuk, R. K. (2001). The analysis of repeated measures designs: A review. British Journal 'of Mathematical and Statistical Psychology, 54, 1-20.
20. Koechlin, E., Anton, J. L., & Burnod, Y. (1999). Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT. Biological Cybernetics, 80, 25-44.
21. Kourtzi, Z., & Kanwisher, N. (2000). Cortical regions involved in perceiving object shape. Journal of Neuroscience, 20, 3310-3318.
22. 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.
23. Landy, M. S., & Bergen, J. R. (1991). Texture segregation and orientation gradient. Vision Research, 31, 679-691.
24. Li, Z. (2000). Pre-attentive segmentation in the primary visual cortex. Spatial Vision, 13, 25-50.
25. Likova, L. T., & Tyler, C. W. (2005). Transient-based image segmentation: Top-down surround suppression in human V1. SPIE Proceedings Series, 5666, 248-257.
26. Lin, F. H., Witzel, T., Ahlfors, S. P., Stufflebeam, S. M., Belliveau, J. W., & Hämäläinen, M. S. (2006). Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. Neuroimage, 31, 160-171.
27. Malach, R., Reppas, J. B., Benson, R. R., Kwong, K. K., Jiang, H., Kennedy, W. A., et al. (1995). Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex. Proceedings of the National Academy of Sciences of the United States of America, 92, 8135-8139.
28. Malik, J., & Perona, P. (1990). Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America A, Optics and Image Science, 7, 923-932.
29. Marcar, V. L., Loenneker, T., Straessle, A., Jaggy, S., Kucian, K., & Martin, E. (2004). An fMRI study of the cerebral macro network involved in 'cue invariant' form perception and how it is influenced by stimulus complexity. Neuroimage, 23, 947-955.
30. Marcus, D. S., & Van Essen, D. C. (2002). Scene segmentation and attention in primate cortical areas V1 and V2. Journal of Neurophysiology, 88, 2648-2658.
31. Nelson, J. I., & Frost, B. J. (1978). Orientation-selective inhibition from beyond the classic visual receptive field. Brain Research, 139, 359-365.
32. Norcia, A. M., Wesemann, W., & Manny, R. E. (1999). Electrophysiological correlates of vernier and relative motion mechanisms in human visual cortex. Visual Neuroscience, 16, 1123-1131.
33. Nothdurft, H. C. (1991). Texture segmentation and pop-out from orientation contrast. Vision Research, 31, 1073-1678.
34. Regan, D. (1989). Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine. New York: Elsevier.
35. Regan, D., & Regan, M. P. (1987). Nonlinearity in human visual responses to two-dimensional patterns, and a limitation of Fourier methods. Vision Research, 27, 2181-2183.
36. Roelfsema, P. R., Lamme, V. A., Spekreijse, H., & Bosch, H. (2002). Figure-ground segregation in a recurrent network architecture. Journal of Cognitive Neuroscience, 14, 525-537.
37. Rogers-Ramachandran, D. C., & Ramachandran, V. S. (1998). Psychophysical. evidence for boundary and surface systems in human vision. Vision Research, 38, 71-77.
38. Song, Y., & Baker, C. L. (2006). Neural mechanisms mediating responses to abutting gratings: Luminance edges vs. illusory contours. Visual Neuroscience, 23, 181-199.
39. Sutter, A., & Graham, N. (1995). Investigating simple and complex mechanisms in texture segregation using the speed-accuracy tradeoff method. Vision Research, 35, 2825-2843.
40. Thielscher, A., & Neumann, H. (2003). Neural mechanisms of cortico-cortical interaction in texture boundary detection: A modeling approach. Neuroscience, 122, 921-939.
41. Tootell, R. B., & Hadjikhani, N. (2001). Where is 'dorsal V4' in human visual cortex? Retinotopic, topographic and functional evidence. Cerebral Cortex, 11, 298-311.
42. Tyler, C. W., Likova, L. T., Kontsevich, L. L., & Wade, A. R. (2006). The specificity of cortical region KO to depth structure. Neuroimage, 30, 228-238.
43. Valdes-Sosa, P., Marti, F., Garcia, F., & Casanova, R. (1996). Variable resolution electric-magnetic tomography. Biomagnetism 96: Proceedings of the 10th International Conference Biomagnetism, 373-376.
44. Victor, J., & Shapley, R. (1980). A method of nonlinear analysis in the frequency domain. Biophysical Journal, 29, 459-483.
45. Victor, J. D., & Conte, M. M. (2000). Two-frequency analysis of interactions elicited by Vernier stimuli. Visual Neuroscience, 17, 959-973.
46. Victor, J. D., & Mast, J. (1991). A new statistic for steady-state evoked potentials. Electroencephalography and Clinical Neurophysiology, 78, 378-388.
47. Vuilleumier, P., Henson, R. N., Driver, J., & Dolan, R. J. (2002). Multiple levels of visual object constancy revealed by event-related fMRI of repetition priming. Nature Neuroscience, 5, 491-499.
48. Wade, A. R., Brewer, A. A., Rieger, J. W., & Wandell, B. A. (2002). Functional measurements of human ventral occipital cortex: Retinotopy and colour. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 357, 963-973.
49. Yoshor, D., Bosking, W. H., Ghose, G. M., & Maunsell, J. H. (2007). Receptive fields in human visual cortex mapped with surface electrodes. Cerebral Cortex, 17, 2293-2302.
50. Zemon, V., & Ratliff, F. (1982). Visual evoked potentials: Evidence for lateral interactions. Proceedings of the National Academy of Sciences of the United States of America, 79, 5723-5726.
51. Zemon, V., & Ratliff, F. (1984). Intermodulation components of the visual evoked potential: Responses to lateral and superimposed stimuli. Biological Cybernetics, 50, 401-408.