Neural mechanisms for processing binocular information. I. Simple cells

Journal of Neurophysiology

Volumn 82, Issue 2, 1999, Pages 891-908

  Anzai, Akiyuki ^a   Ohzawa, Izumi ^a   Freeman, Ralph D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCOMMODATION; ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; BRAIN MAPPING; CORPUS STRIATUM; CORRELATION FUNCTION; MATHEMATICAL ANALYSIS; NONHUMAN; NONLINEAR SYSTEM; PRIORITY JOURNAL; RECEPTIVE FIELD; SIGNAL PROCESSING; VISUAL SYSTEM;

EID: 0032811754     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.1999.82.2.891     Document Type: Article

References (99)

1. ADELSON, E. H. AND BERGEN, J. R. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A 2: 284-299, 1985.
2. ALBRECHT, D. G. AND GEISLER, W. S. Motion selectivity and the contrast-response function of simple cells in the visual cortex. Vis. Neurosci. 7: 531-546, 1991.
3. ALBRECHT, D. G. AND HAMILTON, D. B. Striate cortex of monkey and cat: contrast response function. J. Neurophysiol. 48: 217-237, 1982.
4. ANDREWS, B. W. AND POLLEN, D. A. Relationship between spatial frequency selectivity and receptive field profile of simple cells. J. Physiol. (Lond.) 287: 163-176, 1979.
5. ANZAI, A. Nonlinear Analysis of Binocular Neurons in the Primary Visual Cortex (PhD dissertation). Berkley, CA: The University of California, 1997.
6. ANZAI, A., BEARSE, M. A., JR., FREEMAN, R. D., AND CAI, D. Contrast coding by cells in the cat's striate cortex: monocular vs. binocular detection. Vis. Neurosci. 12: 77-93, 1995.
7. ANZAI, A., OHZAWA, I., AND FREEMAN, R. D. Neural mechanisms for encoding binocular disparity: position versus phase. J. Neurophysiol. 82: 874-890, 1999a.
8. ANZAI, A., OHZAWA, I., AND FREEMAN, R. D. Neural mechanisms for processing binocular information. II. Complex cells. J. Neurophysiol. 82:909-924, 1999b.
9. BARLOW, H. B., BLAKEMORE, C., AND PETTIGREW, J. D. The neural mechanism of binocular depth discrimination. J. Physiol. (Lond.) 193: 327-342, 1967.
10. BILLINGS, S. A. AND FAKHOURI, S. Y. Identification of a class of nonlinear systems using correlation analysis. Proc. IEEE 125: 691-695, 1978.
11. BISHOP, P. O., HENRY, G. H., AND SMITH, C. J. Binocular interaction fields of single units in the cat striate cortex. J. Physiol. (Lond.) 216: 39-68, 1971.
12. BLAKEMORE, C. Binocular depth discrimination and the nasotemporal division. J. Physiol. (Lond.) 205: 471-497, 1969.
13. BONDS, A. B. Temporal dynamics of contrast gain in single cells of the cat striate cortex. Vis. Neurosci. 6: 239-255, 1991.
14. CASANOVA, C., SAVARD, T., NORDMANN, J. P., MOLOTCHNIKOFF, S., AND MINVILLE, K. Comparison of the responses to moving texture patterns of simple and complex cells in the cat's area 17. J. Neurophysiol. 74: 1271-1286, 1995.
15. CHEN, H.-W. Modeling and identification of parallel nonlinear systems: structural classification and parameter estimation methods. Proc. IEEE 83: 39-66, 1995.
16. CHEN, H.-W., ISHII, N., AND SUZUMURA, N. Structural classification of nonlinear systems by input-output measurements. Int. J. Sys. Sci. 17: 741-774, 1986.
17. CUMMING, B. G. AND PARKER, A. J. Responses of primary visual cortical neurons to binocular disparity without depth perception. Nature 389: 280-283, 1997.
18. DEAN, A. F. The relationship between response amplitude and contrast for cat striate cortical neurones. J. Physiol. (Lond.) 318: 413-427, 1981.
19. DEANGELIS, G. C., FREEMAN, R. D., AND OHZAWA, I. Length and width tuning of neurons in the cat's primary visual cortex. J. Neurophysiol. 71: 347-374, 1994.
20. DEANGELIS, G. C., OHZAWA, I., AND FREEMAN, R. D. Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of temporal and spatial summation. J. Neurophysiol. 69: 1118-1135, 1993.
21. DEVALOIS, R. L., THORELL, L. G., AND ALBRECHT, D. G. Periodicity of striate cortex cell receptive fields. J. Opt. Soc. Am. A 2: 1115-1122, 1985.
22. DOUGLAS, R. J., KOCH, C., MAHOWALD, M., MARTIN, K. A., AND SUAREZ, H. H. Recurrent excitation in neocortical circuits. Science 269: 981-985, 1995.
23. DURBIN, R. AND RUMELHART, D. E. Product units: a computationally powerful and biologically plausible extension to backpropagation networks. Neural Comput. 1: 133-142, 1989.
24. EMERSON, R. C. Quadrature subunits in directionally selective simple cells: spatiotemporal interactions. Vis. Neurosci. 14: 357-371, 1997.
25. EMERSON, R. C., KORENBERG, M. J., AND CITRON, M. C. Identification of intensive nonlinearities in cascade models of visual cortex and its relation to cell classification. In: Advanced Methods of Physiological System Modeling, edited by V. Z. Marmarelis. New York: Plenum, 1989, p. 97-111.
26. FERSTER, D. A comparison of binocular depth mechanisms in areas 17 and 18 of the cat visual cortex. J. Physiol. (Lond.) 311: 623-655, 1981.
27. FISCHER, B. AND KRUGER, J. Disparity tuning and binocularity of single neurons in cat visual cortex. Exp. Brain Res. 35: 1-8, 1979.
28. FLEET, D. J., WAGNER, H., AND HEEGER, D. J. Neural encoding of binocular disparity: energy models, position shifts and phase shifts. Vision Res. 36: 1839-1857, 1996.
29. FRENCH, A. S. AND KORENBERG, M. J. A nonlinear cascade model for action potential encoding in an insect sensory neuron. Biophys. J. 55: 655-661, 1989.
30. GEISLER, W. S. AND ALBRECHT, D. G. Cortical neurons: isolation of contrast gain control. Vision Res. 32: 1409-1410, 1992.
31. GONZALEZ, F., KRAUSE, F., PEREZ, R., ALONSO, J. M., AND ACUNA, C. Binocular matching in monkey visual cortex: single cell responses to correlated and uncorrelated dynamic random-dot stereograms. Neuroscience 52: 933-939, 1993.
32. GRZYWACZ, N. M. AND YUILLE, A. L. A model for the estimate of local image velocity by cells in the visual cortex. Proc. R. Soc. Lond. B Biol. Sci. 239: 129-161, 1990.
33. GRZYWACZ, N. M. AND YUILLE, A. L. Theories for the visual perception of local velocity and coherent motion. In: Computational Models of Visual Processing, edited by M. S. Landy and J. A. Movshon. Cambridge, MA: MIT Press, 1991, p. 231-252.
34. GULYAS, B., ORBAN, G. A., DUYSENS, J., AND MAES, H. The suppressive influence of moving textured backgrounds on responses of cat striate neurons to moving bars. J. Neurophysiol. 57: 1767-1791, 1987.
35. HAMILTON, D. B., ALBRECHT, D. G., AND GEISLER, W. S. Visual cortical receptive fields in monkey and cat: spatial and temporal phase transfer function. Vision Res. 29: 1285-1308, 1989.
36. HAMMOND, P. AND MACKAY, D. M. Differential responsiveness of cat visual cortical cells to textured stimuli. Exp. Brain Res. 22: 427-430, 1975.
37. HAMMOND, P. AND MACKAY, D. M. Differential responsiveness of simple and complex cells in cat striate cortex to visual texture. Exp. Brain Res. 30: 275-296, 1977.
38. HEEGER, D. J. Normalization of cell responses in cat striate cortex. Vis. Neurosci. 9: 181-197, 1992a.
39. HEEGER, D. J. Half-squaring in responses of cat striate cells. Vis. Neurosci. 9: 427-443, 1992b.
40. HUBEL, D. H. AND WIESEL, T. N. Receptive fields of single neurones in the cat's striate cortex. J. Physiol. (Lond.) 148: 574-591, 1959.
41. HUBEL, D. H. AND WIESEL, T. N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. (Lond.) 160: 106-154, 1962.
42. HUBEL, D. H. AND WIESEL, T. N. Receptive fields and functional architecture of monkey striate cortex. J. Physiol. (Lond.) 195: 215-243, 1968.
43. HUBEL, D. H. AND WIESEL, T. N. Stereoscopic vision in macaque monkey. Cells sensitive to binocular depth in area 18 of the macaque monkey cortex. Nature 225: 41-42, 1970.
44. HUBEL, D. H. AND WIESEL, T. N. A re-examination of stereoscopic mechanisms in area 17 of the cat. J. Physiol. (Lond.) 232: 29P-30P, 1973.
45. HUNTER, I. W. AND KORENBERG, M. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models. Biol. Cybern. 55: 135-144, 1986.
46. JACOBSON, L. D., GASKA, J. P., CHEN, H. W., AND POLLEN, D. A. Structural testing of multi-input linear-nonlinear cascade models for cells in macaque striate cortex. Vision Res. 33: 609-626, 1993.
47. JAGADEESH, B., WHEAT, H. S., AND FERSTER. D. Linearity of summation of synaptic potentials underlying direction selectivity in simple cells of the cat visual cortex. Science 262: 1901-1904, 1993.
48. JAGADEESH, B., WHEAT, H. S., KONTSEVICH, L. L., TYLER, C. W., AND FERSTER, D. Direction selectivity of synaptic potentials in simple cells of the cat visual cortex. J. Neurophysiol. 78: 2772-2789, 1997.
49. JENKIN, M.R.M. AND JEPSON, A. D. The measurement of binocular disparity. In: Computational Processes in Human Vision: An Interdisciplinary Perspective, edited by A. W. Pylyshyn. Norwood: NJ: Ablex Publishing, 1988, p. 69-98.
50. JULESZ, B. Binocular depth perception of computer-generated patterns. Bell Syst. Tech. J. 39: 1125-1162, 1960.
51. KATO, H., BISHOP, P. O., AND ORBAN, G. A. Hypercomplex and simple/complex cell classifications in cat striate cortex. J. Neurophysiol. 41: 1071-1095, 1978.
52. KATO, H., BISHOP, P. O., AND ORBAN, G. A. Binocular interaction on monocularly discharged lateral geniculate and striate neurons in the cat. J. Neurophvsiol. 46: 932-951, 1981.
53. KOCH, C. AND POGGIO, T. Multiplying with synapses and neurons. In: Single Neuron Computation, edited by T. McKenna, J. L. Davis, and S. F. Zornetzer. Cambridge, MA: Academic, 1992, p. 315-345.
54. KORENBERG, M. AND HUNTER, I. W. The identification of nonlinear biological systems: LNL cascade models. Biol. Cybern. 55: 125-134, 1986.
55. LEVAY, S. AND VOIGT, T. Ocular dominance and disparity coding in cat visual cortex. Vis. Neurosci. 1: 395-414, 1988.
56. MAFFEI, L. AND FIORENTINI, A. The visual cortex as a spatial frequency analyser. Vision Res. 13: 1255-1267, 1973.
57. MAFFEI, L. AND FIORENTINI, A. The unresponsive regions of visual cortical receptive fields. Vision Res. 16: 1131-1139, 1976.
58. MANCINI, M. Temporal Properties of Single Cells in Cat Visual Cortex (PhD thesis). Rochester, NY: University of Rochester, 1983.
59. MANCINI, M., MADDEN, B. C., AND EMERSON, R. C. White noise analysis of temporal properties in simple receptive fields of cat cortex. Biol. Cybern. 63: 209-219, 1990.
60. MARMARELIS, P. Z. AND MARMARELIS, V. Z. Analysis Of physiological Systems: The White-Noise Approach. New York: Plenum, 1978.
61. MASKE, R., YAMANE, S., AND BISHOP, P. O. Stereoscopic mechanisms: binocular responses of the striate cells of cats to moving light and dark bars. Proc. R. Soc. Lond. B Biol. Sci. 229: 227-256, 1986a.
62. MASKE, R., YAMANE, S., AND BISHOP, P. O. End-stopped cells and binocular depth discrimination in the striate cortex of cats. Proc. R. Soc. Lond. B Biol. Sci. 229: 257-276, 1986b.
63. MEL, B. W. NMDA-based pattern discrimination in a modeled cortical neuron. Neural Comput. 4: 502-517, 1992.
64. MEL, B. W. Synaptic integration in an excitable dendritic tree. J. Neurophysiol. 70: 1086-1101, 1993.
65. MORRONE, M. C., BURR, D. C., AND MAFFEI, L. Functional implications of cross-orientation inhibition of cortical visual cells. I. Neurophysiological evidence. Proc. R. Soc. Lond. B Biol. Sci. 216: 335-354, 1982.
66. MOVSHON, J. A., THOMPSON, I. D., AND TOLHURST, D. J. Spatial summation in the receptive fields of simple cells in the cat's striate cortex. J. Physiol. (Lond.) 283: 53-77, 1978.
67. MOVSHON, J. A. AND TOLHURST, D. J. On the response linearity of neurones in cat visual cortex. J. Physiol. (Lond.) 249: 56P-57P, 1975.
68. OHZAWA, I., DEANGELIS. G. C., AND FREEMAN, R. D. Stereoscopic depth discrimination in the visual cortex: neurons ideally suited as disparity detectors. Science 249: 1037-1041, 1990.
69. OHZAWA, I. AND FREEMAN, R. D. The binocular organization of simple cells in the cat's visual cortex. J. Neurophysiol. 56: 221-242, 1986.
70. OHZAWA, I., SCLAR, G., AND FREEMAN, R. D. Contrast gain control in the cat visual cortex. Nature 298: 266-268, 1982.
71. OHZAWA, I., SCLAR, G., AND FREEMAN, R. D. Contrast gain control in the cat's visual system. J. Neurophysiol. 54: 651-667, 1985.
72. PETTIGREW, J. D. Binocular Interaction on Single Units of the Striate Cortex of the Cat (BSc thesis). Sydney, Australia: University of Sydney, 1965.
73. PETTIGREW, J. D., NIKARA, T., AND BISHOP, P. O. Binocular interaction on single units in cat striate cortex: simultaneous stimulation by single moving slit with receptive fields in correspondence. Exp. Brain Res. 6: 391-410, 1968.
74. POGGIO, G. F. Cortical neural mechanisms of stereopsis studied with dynamic random-dot stereograms. Cold Spring Harbor Symp. Quant. Biol. 55: 749-758, 1990.
75. POGGIO, G. F. Mechanisms of stereopsis in monkey visual cortex. Cereb. Cortex 5: 193-204, 1995.
76. POGGIO, G. F. AND FISCHER, B. Binocular interaction and depth sensitivity in striate and prestriate cortex of behaving rhesus monkeys. J. Neurophysiol. 40: 1392-1407, 1977.
77. POGGIO, G. F., GONZALEZ, F., AND KRAUSE, F. Stereoscopic mechanisms in monkey visual cortex: binocular correlation and disparity selectivity. J. Neurosci. 8: 4531-4550, 1988.
78. POGGIO, G. F., MOTTER, B. C., SQUATRITO, S., AND TROTTER, Y. Responses of neurons in visual cortex (V1 and V2) of the alert macaque to dynamic random-dot stereograms. Vision Res. 25: 397-406, 1985.
79. POGGIO, G. F. AND TALBOT, W. H. Mechanisms of static and dynamic stereopsis in foveal cortex of the Rhesus monkey. J. Physiol. (Lond.) 315: 469-492, 1981.
80. POLLEN, D. A. AND RONNER, S. F. Spatial computation performed by simple and complex cells in the visual cortex of the cat. Vision Res. 22: 101-118, 1982.
81. POLLEN, D. A., GASKA, J. P., AND JACOBSON, L. D. Responses of simple and complex cells to compound sine-wave gratings. Vision Res. 28: 25-39, 1988.
82. PRESS, W. H., TEUKOLSKY, S. A., VETTERLING, W. T., AND FLANNERY, B. P. Numerical Recipes in C (2nd ed.). New York: Cambridge, 1992.
83. REID, R. C., VICTOR, J. D., AND SHAPLEY, R. M. The use of m-sequence in the analysis of visual neurons: linear receptive field properties. Vis. Neurosci. 14: 1015-1027, 1997.
84. RUMELHART, D. E., HINTON, G. E., AND MCCLELLAND, J. L. A general framework for parallel distributed processing. In: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, edited by D. E. Rumelhart and J. L. McClelland. Cambridge, MA: Bradford, 1986, p. 45-76.
85. SANGER, T. D. Stereo disparity computation using Gabor filters. Biol. Cybern. 59: 405-418, 1988.
86. SCLAR, G., MAUNSELL, J. H., AND LENNIE, P. Coding of image contrast in central visual pathways of the macaque monkey. Vision Res. 30: 1-10, 1990.
87. SKOTTUN, B.C., GROSOF, D. H., AND DEVALOIS, R. L. Responses of simple and complex cells to random dot patterns: a quantitative comparison. J. Neurophysiol. 59: 1719-1735, 1988.
88. SKOTTUN, B. C., ZHANG, J., AND GROSOF, D. H. On the directional selectivity of cells in the visual cortex to drifting dot patterns. Vis. Neurosci. 11: 885-897, 1994.
89. SOMERS, D. C., NELSON, S. B., AND SUR, M. An emergent model of orientation selectivity in cat visual cortical simple cells. J. Neurosci. 15: 5448-5465, 1995.
90. SUAREZ, H. AND KOCH, C. Linking linear threshold units with quadratic models of motion perception. Neural Comput. 1: 318-320, 1989.
91. SUTTER, E. E. A practical nonstochastic approach to nonlinear time-domain analysis. In: Advanced Methods of Physiological System Modeling, edited by. V. Z. Marmarelis. Los Angeles, CA: Biomedical Simulations Resource, University of Southern California, 1987, vol. 1, p. 303-315.
92. SUTTER, E. E. The fast m-transform: a fast computation of cross-correlations with binary m-sequences. SIAM J. Comput. 20: 686-694, 1991.
93. SUTTER, E. E. A deterministic approach to nonlinear systems analysis. In: Nonlinear Vision: Determination of Neural Receptive Fields, edited by R. B. Pinter and B. Nabet. Boca Raton, FL: CRC, 1992, p. 171-220.
94. TADMOR, Y. AND TOLHURST, D. J. The effect of threshold on the relationship between the receptive-field profile and the spatial frequency tuning curve in simple cells of the cat's striate cortex. Vis. Neurosci. 3: 445-454, 1989.
95. TOLHURST, D. J. AND DEAN, A. F. Spatial summation by simple cells in the striate cortex of the cat. Exp. Brain Res. 66: 607-620, 1987.
96. TOLHURST, D. J. AND DEAN, A. F. The effects of contrast on the linearity of spatial summation of simple cells in the cat's striate cortex. Exp. Brain Res. 79: 582-588, 1990.
97. TOLHURST, D. J., MOVSHON, J. A., AND THOMPSON, I. D. The dependence of response amplitude and variance of cat visual cortical neurones on stimulus contrast. Exp. Brain Res. 41: 414-419, 1981.
98. VON DER HEYDT, R., ADORJANI, Cs., HANNY, P., AND BAUMGARTNER, G. Disparity sensitivity and receptive field incongruity of units in the cat striate cortex. Exp. Brain Res. 31: 523-545, 1978.
99. WATSON, A. B. AND AHUMADA, A. J., JR. Model of human visual-motion sensing. J. Opt. Soc. Am. A 2: 322-341, 1985.