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Motion selectivity and the contrast-response function of simple cells in the visual cortex

Published online by Cambridge University Press:  02 June 2009

Duane G. Albrecht  and
Wilson S. Geisler
Duane G. Albrecht
Affiliation:
Department of Psychology, University of Texas, Austin
Wilson S. Geisler
Affiliation:
Department of Psychology, University of Texas, Austin
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Abstract

The responses of simple cells were recorded from the visual cortex of cats, as a function of the position and contrast of counterphase and drifting grating patterns, to assess whether direction selectivity can be accounted for on the basis of linear summation. The expected responses to a counterphase grating, given a strictly linear model, would be the sum of the responses to the two drifting components. The measured responses were not consistent with the linear prediction. For example, nearly all cells showed two positions where the responses approached zero (i.e. two “null phase positions”); this was true, even for the most direction selective cells. However, the measured responses were consistent with the hypothesis that direction selectivity is a consequence of the linear spatiotemporal receptive-field structure, coupled with the nonlinearities revealed by the contrast-response function: contrast gain control, halfwave rectification, and expansive exponent. When arranged in a particular sequence, each of these linear and nonlinear mechanisms performs a useful function in a general model of simple cells. The linear spatiotemporal receptive field initiates stimulus selectivity (for direction, orientation, spatial frequency, etc.). The expansive response exponent enhances selectivity. The contrast-set gain control maintains selectivity (over a wide range of contrasts, in spite of the limited dynamic response range and steep slope of the contrast-response function). Rectification conserves metabolic energy.

Keywords

Visual cortexReceptive fieldsDirection selectivityContrast gain controlContrast response functionMotion
Type
Research Articles
Information
Visual Neuroscience , Volume 7 , Issue 6 , December 1991 , pp. 531 - 546
Copyright
Copyright © Cambridge University Press 1991

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References

Adelson, E.H. & Bergen, J.R. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America 2, 284–299.CrossRefGoogle ScholarPubMed
Albrecht, D.G. (1978). Analysis of visual form. Doctoral Dissertation, University of California, Berkeley.Google Scholar
Albrecht, D.G. & De Valois, R.L. (1981). Striate cortex responses to periodic patterns with and without the fundamental harmonics. Journal of Physiology 319, 497–514.Google Scholar
Albrecht, D.G., Farrar, S.B. & Hamilton, D.B. (1984). Spatial contrast adaptation characteristics of neurones recorded in the cat's visual cortex. Journal of Physiology 347, 713–739.CrossRefGoogle ScholarPubMed
Albrecht, D.G. & Hamilton, D.B. (1982). Striate cortex of monkey and cat: Contrast response function. Journal of Neurophysiology 48, 217–237.CrossRefGoogle ScholarPubMed
Barlow, H.B. (1972). Single units and sensation: A neuron doctrine for perceptual psychology? Perception 1, 371–394.CrossRefGoogle ScholarPubMed
Barlow, H.B. & Levick, W.R. (1965). The mechanism of directionally selective units in rabbit's retina. Journal of Physiology 178, 477–504.Google Scholar
Bonds, A.B. (1990). Role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex. Visual Neuroscience 2, 41–55.CrossRefGoogle Scholar
Dean, A.F., Hess, R.F. & Tolhurst, D.J. (1980). Divisive inhibition involved in direction selectivity. Journal of Physiology 308, 84–85P.Google Scholar
de Valois, R.L., Albrecht, D.G. & Thorell, L.G. (1982). Spatial frequency selectivity of cells in macaque visual cortex. Vision Research 22, 545–559.CrossRefGoogle ScholarPubMed
de Valois, R.L. & De Valois, K.K. (1988). Spatial Vision. New York: Oxford University Press.Google Scholar
Enroth-Cugell, C. & Robson, J.G. (1966). The contrast sensitivity of retinal ganglion cells of the cat. Journal of Physiology 187, 517–552.Google Scholar
Geisler, W.S., Albrecht, D.G., Salvi, R.J. & Saunders, S.S. (1991). Discrimination performance of single neurons: rate and temporal pattern information. Journal of Neurophysiology 66, 334–362.Google Scholar
Hamilton, D.B. (1987). The Phase Transfer Function of Visual Cortical Neurons. Doctoral Dissertation, University of Texas, Austin.Google Scholar
Hamilton, D.B., Albrecht, D.G. & Geisler, W.S. (1989). Visual cortical receptive fields in monkey and cat: spatial and temporal phase transfer function. Vision Research 29, 1285–1308.Google Scholar
Heeger, D.J. (in press). Computational model of cat striate physiology. To appear in Computational Models of Visual Perception, ed. Movshon, J.A. & Landy, M.Google Scholar
Hildreth, E.C. & Koch, C. (1987). The analysis of visual motion: From computational theory to neuronal mechanisms. Annual Review of Neuroscience 10, 477–533.Google Scholar
Hochstein, S. & Shapley, R.M. (1976). Quantitative analysis of retinal ganglion cell classifications. Journal of Physiology 262, 237–264.CrossRefGoogle ScholarPubMed
Hubel, D.H. & Wiesel, T.N. (1962). Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex. Journal of Physiology 160, 106–154.Google Scholar
Hubel, D.H. & Wiesel, T.N. (1968). Receptive fields and functional architecture of monkey striate cortex. Journal of Physiology 195, 215–243.CrossRefGoogle ScholarPubMed
Li, C. & Creutzfeldt, O. (1984). The representation of contrast and other stimulus parameters by single neurons in area 17 of the cat. Pflugers Archiv 401, 304–314.Google ScholarPubMed
Maunsell, J.H.R. & Newsome, W.T. (1987). Visual processing in monkey extrastriate cortex. Annual Review of Neuroscience 10, 363–401.CrossRefGoogle ScholarPubMed
McLean, J. & Palmer, L. (1989). Contribution of linear spatiotemporal receptive field structure to velocity selectivity of simple cells in area 17 of cat. Vision Research 29, 675–679.CrossRefGoogle ScholarPubMed
Movshon, J.A., Thompson, I.D. & Tolhurst, D.J. (1978). Spatial summation in the receptive fields of simple cells in the cat's striate cortex. Journal of Physiology 283, 53–77.Google Scholar
Movshon, J.A. & Tolhurst, D.J. (1975). On the response linearity of neurones in cat visual cortex. Journal of Physiology 249, 56–57P.Google Scholar
Nakayama, K. (1985). Biological image motion processing: A review. Vision Research 5, 625–660.Google Scholar
Nelson, S.B. (1991). Temporal interactions in the cat visual system. I. Orientation-selective suppression in the visual cortex. Journal of Neuroscience 11, 344–356.Google Scholar
Ohzawa, I., Sclar, G. & Freeman, R.D. (1985). Contrast gain control in the cat's visual system. Journal of Neurophysiology 54, 651–667.CrossRefGoogle ScholarPubMed
Reid, R.C., Soodak, R.E. & Shapley, R.M. (1987). Linear mechanisms of directional selectivity in simple cells of cat striate cortex. Proceedings of the National Academy of Sciences of the U.S.A. 84, 8740–8744.Google Scholar
Robson, J.G. (1975). Receptive fields: Spatial and intensive representation of the visual image. In Handbook of Perception, Vol. 5: Vision, ed. Carterette, E.C. & Friedman, M.P., pp. 81–112. New York: Academic Press.Google Scholar
Sclar, G. & Freeman, R.D. (1982). Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast. Experimental Brain Research 46, 457–461.CrossRefGoogle ScholarPubMed
Sclar, G., Maunsell, J.H.R. & Lennie, P. (1990). Coding of image contrast in central visual pathways of macaque monkey. Vision Research 30, 1–10.Google Scholar
Shapley, R. & Enroth-Cugell, C. (1984). Visual adaptation and retinal gain controls. Progress in Retinal Research 3, 263–346.CrossRefGoogle Scholar
Shapley, R. & Lennie, P. (1985). Spatial frequency analysis in the visual system. Annual Review of Neuroscience 8, 547–583.CrossRefGoogle ScholarPubMed
Skottun, B.C., De Valois, R.L., Grosof, D.H., Movshon, J.A., Albrecht, D.G. & Bonds, A.B. (1991). Classifying simple and complex cells on the basis of response modulation. Vision Research 31, 1079–1086.CrossRefGoogle ScholarPubMed
Tadmor, Y. & Tolhurst, D.J. (1989). 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. Visual Neuroscience 3, 445–454.CrossRefGoogle ScholarPubMed
Watson, A.B. & Ahumada, A.J. Jr (1985). Model of human visual-motion sensing. Journal of the Optical Society of America 2, 322–341.Google Scholar