Receptive field properties of human motion detector units inferred from spatial frequency masking

This study was designed to investigate the spatial frequency selectivity and spatial structure of receptive fields of motion sensitive mechanisms in human vision. Spatial frequency selectivity was inferred from masking measurements, using dynamic test and mask stimuli. For test frequencies between 0.025 and 15.0 c/deg, maximal masking occurred when the mask frequency matched that of the test, suggesting that the test was detected by mechanisms tuned to (or near to) that frequency. For tests below 0.025 c/deg or above 15.0 c/deg, maximal masking occurred at 0.025 and 15.0 c/deg, respectively, suggesting that there exist no mechanisms selective to frequencies outside these limits. A masking model, suitable for interpreting results obtained with drifting test stimuli, was developed and used to calculate spatial frequency selectivity functions from masking data. Assuming small signal linearity, and a constant phase spectrum, the selectivity functions were inverse-Fourier transformed to yield estimates of the extent and structure of receptive fields. Field width was found to vary with test spatial frequency from 5.8 deg at 0.03 c/deg to 0.05 deg at 10.0 c/deg. These estimates were compared with width estimates previously obtained by a summation technique (Anderson & Burr, 1987), and found to be similar over a wide range of spatial frequencies (2.5 log units). Gabor functions provided a reasonable fit to the calculated field profiles at high spatial frequencies (above 1.0 c/deg), but not at low frequencies.

[1]  O. Schade Optical and photoelectric analog of the eye. , 1956, Journal of the Optical Society of America.

[2]  G. Henning,et al.  Effects of different hypothetical detection mechanisms on the shape of spatial-frequency filters inferred from masking experiments: I. Noise masks. , 1981, Journal of the Optical Society of America.

[3]  J. Daugman Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.

[4]  D. Field,et al.  The structure and symmetry of simple-cell receptive-field profiles in the cat’s visual cortex , 1986, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  G. Legge Adaptation to a spatial impulse: Implications for Fourier transform models of visual processing , 1976, Vision Research.

[6]  J. van Santen,et al.  Temporal covariance model of human motion perception. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[7]  D. Pollen,et al.  Phase relationships between adjacent simple cells in the visual cortex. , 1981, Science.

[8]  A. Watson Summation of grating patches indicates many types of detector at one retinal location , 1982, Vision Research.

[9]  M. Banks,et al.  Sensitivity loss in odd-symmetric mechanisms and phase anomalies in peripheral vision , 1987, Nature.

[10]  J. Robson,et al.  Probability summation and regional variation in contrast sensitivity across the visual field , 1981, Vision Research.

[11]  J. Kulikowski,et al.  Spatial arrangement of line, edge and grating detectors revealed by subthreshold summation. , 1973, Vision research.

[12]  D. Burr,et al.  Seeing objects in motion , 1986, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[13]  Wilson S. Geisler,et al.  The physical limits of grating visibility , 1987, Vision Research.

[14]  J. Movshon,et al.  Spatial summation in the receptive fields of simple cells in the cat's striate cortex. , 1978, The Journal of physiology.

[15]  J. M. Foley,et al.  Contrast masking in human vision. , 1980, Journal of the Optical Society of America.

[16]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[17]  Dennis Gabor,et al.  Theory of communication , 1946 .

[18]  D. Burr,et al.  Receptive field size of human motion detection units , 1987, Vision Research.

[19]  R. Hess,et al.  The functional area for summation to threshold for sinusoidal gratings , 1978, Vision Research.

[20]  H. Wilson,et al.  Spatial frequency tuning of orientation selective units estimated by oblique masking , 1983, Vision Research.

[21]  J. Movshon,et al.  Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. , 1978, The Journal of physiology.

[22]  M. Morgan Pulfrich Effect and the Filling in of Apparent Motion , 1976, Perception.

[23]  J. van Santen,et al.  Elaborated Reichardt detectors. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[24]  David C. Burr,et al.  Smooth and sampled motion , 1986, Vision Research.

[25]  G. Legge Space domain properties of a spatial frequency channel in human vision , 1978, Vision Research.

[26]  Suzanne P. McKee,et al.  Colliding targets: Evidence for spatial localization within the motion system , 1985, Vision Research.

[27]  B. Julesz,et al.  Displacement limits for spatial frequency filtered random-dot cinematograms in apparent motion , 1983, Vision Research.

[28]  A J Ahumada,et al.  Model of human visual-motion sensing. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[29]  W. Reichardt,et al.  Autocorrelation, a principle for the evaluation of sensory information by the central nervous system , 1961 .

[30]  G. Legge Spatial frequency masking in human vision: binocular interactions. , 1979, Journal of the Optical Society of America.

[31]  D. Pollen,et al.  Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey. , 1985, The Journal of physiology.

[32]  Robert Sekuler,et al.  Structural modeling of spatial vision , 1984, Vision Research.

[33]  T. Poggio,et al.  Visual hyperacuity: spatiotemporal interpolation in human vision , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[34]  R. L. Valois,et al.  The orientation and direction selectivity of cells in macaque visual cortex , 1982, Vision Research.

[35]  Klein,et al.  Nonlinear directionally selective subunits in complex cells of cat striate cortex. , 1987, Journal of neurophysiology.

[36]  D. Burr,et al.  Spatial and temporal selectivity of the human motion detection system , 1985, Vision Research.

[37]  S Marcelja,et al.  Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.

[38]  D. Burr,et al.  Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[39]  D. Field,et al.  Phase reversal discrimination , 1984, Vision Research.

[40]  Quick Rf A vector-magnitude model of contrast detection. , 1974 .

[41]  A Gorea,et al.  Spatial integration characteristics in motion detection and direction identification. , 1985, Spatial vision.

[42]  Andrew B. Watson,et al.  Window of visibility: a psychophysical theory of fidelity in time-sampled visual motion displays , 1986 .

[43]  D. Burr,et al.  Discrimination of spatial phase in central and peripheral vision , 1989, Vision Research.

[44]  J. Robson,et al.  Spatial-frequency channels in human vision. , 1971, Journal of the Optical Society of America.

[45]  David C. Burr,et al.  How does binocular delay give information about depth? , 1979, Vision Research.

[46]  D. Burr,et al.  Contrast sensitivity at high velocities , 1982, Vision Research.

[47]  J. Robson,et al.  Summation of very close spatial frequencies: the importance of spatial probability summation , 1987, Vision Research.

[48]  D. G. Albrecht,et al.  Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.

[49]  R. Bracewell The Fourier Transform and Its Applications , 1966 .

[50]  S. Klein,et al.  Hyperacuity thresholds of 1 sec: theoretical predictions and empirical validation. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[51]  R. Sekuler,et al.  The independence of channels in human vision selective for direction of movement. , 1975, The Journal of physiology.

[52]  J. McCann,et al.  Visibility of low-frequency sine-wave targets: Dependence on number of cycles and surround parameters , 1978, Vision Research.

[53]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[54]  J. Cowan,et al.  Localized effects of spatial frequency adaptation. , 1982, Journal of the Optical Society of America.

[55]  J. Daugman Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[56]  Ken Nakayama,et al.  Biological image motion processing: A review , 1985, Vision Research.

[57]  D. Marr,et al.  Smallest channel in early human vision. , 1980, Journal of the Optical Society of America.

[58]  J. Robson,et al.  Application of fourier analysis to the visibility of gratings , 1968, The Journal of physiology.

[59]  C. Baker,et al.  The basis of area and dot number effects in random dot motion perception , 1982, Vision Research.

[60]  J. Daugman Spatial visual channels in the fourier plane , 1984, Vision Research.