Abstract
Object boundaries in the natural environment are often defined by changes in luminance; in other cases, however, there may be no difference in average luminance across the boundary, which is instead defined by more subtle 'second-order' cues, such as changes in the contrast of a fine-grained texture. The detection of luminance boundaries may be readily explained in terms of visual cortical neurons, which compute the linear sum of the excitatory and inhibitory inputs to different parts of their receptive field. The detection of second-order stimuli is less well understood, but is thought to involve a separate nonlinear processing stream, in which boundary detectors would receive inputs from many smaller subunits. To address this, we have examined the properties of cortical neurons which respond to both first- and second-order stimuli. We show that the inputs to these neurons are also oriented, but with no fixed orientational relationship to the neurons they subserve. Our results suggest a flexible mechanism by which the visual cortex can detect object boundaries regardless of whether they are defined by luminance or texture.
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References
Hubel, D.H. & Wiesel, T.N. Functional architecture of macaque visual cortex. Proc. R. Soc. Lond. 198, 1–59 (1977)
DeValois, R.L., Albrecht, D.G. & Thorell, L.G. Spatial frequency selectivity of cells in macaque visual cortex.Vision Res. 22, 545– 559 (1982)
Spitzer, H.&Hochstein, S. Simple- and complex-cell response dependences on stimulation parameters. J. Neurophysiol. 53, 1244– 1265 (1985)
Movshon, J.A., Thompson, I.D. & Tolhurst, D.J. Spatial summation in the receptive fields of simple cells in the cat's striate cortex. J. Physiol. 283, 53–77 (1978)
DeAngelis, G.C., Ohzawa, I. & 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)
Adelson, E.H. & Bergen, J.R. Spatiotemporal energy models for the perception of motion.J. Opt. Soc. Am. 2, 284–299 (1985)
Watson, A.B. & Ahumada, A.J. Model of human visual motion sensing . J. Opt. Soc. Am. 2, 322– 342 (1985)
VanSanten, J.P.H. & Sperling, G. Elaborated Reichardt detectors . J. Opt. Soc. Am. 2, 300– 321 (1985)
Chubb, C. & Sperling, G. Drift-balanced random stimuli: a basis for studying non-Fourier motion perception. J. Opt. Soc. Am. 5, 1986–2006 ( 1988)
Cavanagh, P. & Mather, G. Motion: the long and short of it . Spat. Vis. 4, 103–129 (1989)
Albright, T. Form-cue invariant motion processing in primate visual cortex. Science 255, 1141–1143 (1992)
Olavarria, J.F., DeYoe, E.A., Knierim, J.J., Fox, J.M. & VanEssen, D.C. Neural responses to visual texture patterns in middle temporal area of the macaque monkey. J. Neurophysiol . 68, 164–181 ( 1992)
Zhou, Y-X & Baker, C.L. A processing stream in mammalian visual cortex neurons for non-Fourier responses. Science 261, 98–101 (1993)
Von Der Heydt, R., Peterhans, E. & Baumgartner, G. Illusory contours and cortical neuron responses. Science 224, 1260–1262 ( 1984)
Grosof, D.H., Shapley, R.M. & Hawken, M.J. Macaque V1 neurons can signal "illusory" contours. Nature 365, 550–552 ( 1993)
Derrington, A.M. & Henning, G.B. Linear and non-linear mechanisms in pattern vision. Current Biol. 3, 800– 803 (1993)
Daugman, J.G. & Downing, C.J. Demodulation, predictive coding, and spatial vision. J. Opt. Soc. Am. 4, 641–660 (1995)
Zhou, Y-X . & Baker, C.L. Envelope-responsive neurons in areas 17 and 18 of cat. J. Neurophysiol .72, 2134 –2150 (1994)
Badcock, D.R. & Derrington, A.M. Detecting the displacements of spatial beats : no role for distortion products. Vision Res. 29, 731–739 ( 1989)
Graham, N., Beck, J. & Sutter, A. Nonlinear processes in spatial-frequency channel models of perceived texture segregation: effects of sign and amount of contrast. Vision Res . 32, 719–743 ( 1992)
Wilson, H.R., Ferrera, V.P. & Yo, C. A psychophysically motivated model for two-dimensional motion perception. Vis. Neurosci. 9, 79–97 (1992)
Ledgeway, T. & Smith, A.T. Evidence for separate motion-detecting mechanisms for first- and second-order motion in human vision. Vision Res. 34, 2727–2740 (1994)
Solomon, J.A. & Sperling, G. Full-wave and half-wave rectification in second-order motion perception. Vision Res. 34, 2239–2257 (1994)
Werkhoven, P., Sperling, G. & Chubb, C. Perception of apparent motion between dissimilar gratings: spatiotemporal properties. Vision Res. 34, 2741– 2759 (1994)
Langley, K., Fleet, D.J. & Hibbard, P.B. Linear filtering precedes nonlinear processing in early vision. Current Biol. 6, 891– 896 (1996)
Marida, K.V. Statistics of Directional Data (Academic Press Inc., London 1972 )
Vidyasagar, T.R. & Urbas, J.V. Orientation sensitivity of cat LGN neurones with and without inputs from visual cortical areas 17 and 18. Exp. Brain. Res. 46, 157–169 (1982)
Vidyasagar, T.R. & Heide, W. Geniculate orientation biases seen with moving sine wave gratings: implications for a model of simple cell afferent connectivity. Exp. Brain. Res. 57, 196– 200 (1984)
Soodak, R.E., Shapley, R.M. & Kaplan, E. Linear mechanism of orientation tuning in the retina and lateral geniculate nucleus of the cat. J. Neurophysiol. 58, 267–275 (1987)
Shou, T. & Leventhal, A.G. Organized arrangement of orientation-sensitive relay cells in the cat's dorsal lateral geniculate nucleus. J. Neurosci. 9, 4287–4302 ( 1989)
Levay, S. & Sherk, H. The visual claustrum of the cat. I. Structure and connections. J. Neurosci. 1, 956–980 (1981)
Sherk, H. & Levay, S. The visual claustrum of the cat. III. Receptive field properties. J. Neurosci. 1, 956– 980 (1981)
Ringach, D.L., Hawken, M.J. & Shapley, R. Dynamics of orientation tuning in macaque primary visual cortex. Nature 387, 281–284 ( 1997)
Mareschal, I. & Baker, C.L. Bandpass temporal and spatial frequency responses to envelopes of second order stimuli in area 18 neurons. Invest. Opthalmol. Vis. Sci. 38, S624 ( 1997)
Pelli, D.G. The VideoToolbox software for visual psychophysics: Transforming numbers into movies . Spat. Vis. 10, 437–442 (1997)
Brainard, D.H. The Psychophysics Toolbox. Spat. Vis. 10, 443– 446 (1997)
Acknowledgements
This work was supported by Canadian MRC (MA 9685) to C.L.B. and an FCAR fellowship to I.M. We are indebted to Steven Dakin for providing comments on this manuscript. We are also grateful to Jingjiang Lei and Lynda Domazet for technical assistance. We also wish to thank Rhone-Poulenc Rorer for their donation of Gallamine Triethiodide.
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Mareschal, I., Baker, C. A cortical locus for the processing of contrast-defined contours. Nat Neurosci 1, 150–154 (1998). https://doi.org/10.1038/401
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DOI: https://doi.org/10.1038/401
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