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A psychophysically motivated model for two-dimensional motion perception

  • Hugh R. Wilson (a1), Vincent P. Ferrera (a1) and Christopher Yo (a1)
  • DOI:
  • Published online: 01 June 2009

A quantitative model is developed to predict the perceived direction of moving two-dimensional patterns. The model incorporates both a simple motion energy pathway and a “texture boundary motion” pathway that incorporates response squaring before the extraction of motion energy. These pathways correspond to Fourier and non-Fourier motion pathways and are hypothesized to reflect processing in the VI-MT and V1-V2-MT pathway, respectively. A cosine-weighted sum of these pathways followed by competitive feedback inhibition accurately predicts the perceived direction for patterns composed of two cosine gratings at different orientations (“plaids”). The model also predicts direction discrimination, differences between foveal and peripheral viewing, changes in perceived direction with exposure duration, motion masking, and motion transparency.

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E.H. Adelson & J.A. Movshon (1982). Phenomenal coherence of moving visual patterns. Nature 300, 523525.

E.H. Adelson & J.R. Bergen (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A 2, 284299.

S.M. Anstis & G. Mather (1985). Effects of luminance and contrast on direction of ambiguous apparent motion. Perception 14, 167179.

A.M. Derrington & D.R. Badcock (1985). Separate detectors for simple and complex grating patterns? Vision Research 25, 18691878.

J.A. Feldman & D.H. Ballard (1982). Connectionist models and their properties. Cognitive Science 6, 205254.

V.P. Ferrera & H.R. Wilson (1987). Direction Specific Masking And The Analysis Of Motion In Two Dimensions. Vision Research 27, 17831796.

S. Grossberg (1991). Why do parallel cortical systems exist for the perception of static form and moving form? Perception and Psychophysics 49, 117141.

L.A. Krubitzer & J.H. Kaas (1989). Cortical integration of parallel pathways in the visual system of primates. Brain Research 478, 161165.

M.S. Landy & J.R. Bergen (1991). Texture segregation and orienta tion gradient. Vision Research 31, 679691.

M. Nawrot & R. Sekuler (1990). Assimilation and contrast in mo tion perception: Explorations in Cooperativity. Vision Research 30, 14391451.

A. Pantle & L. Picciano (1976). A multistable movement display: Evidence for two separate motion systems in human vision. Science 193, 500502.

J.A. Perrone (1990). Simple technique for optical flow estimation. Journal of the Optical Society of America A 7, 264278.

G.C. Philips & H.R. Wilson (1984). Orientation bandwidths of spa tial mechanisms measured by masking. Journal of the Optical So ciety of America A 1, 226232.

V.S. Ramachandran , V. Inada & G. Kiama (1986). Perception of illusory occlusion in apparent motion. Vision Research 26, 17411749.

L.A. Riggs & R.H. Day (1980). Visual aftereffects derived from in spection of orthogonally moving patterns. Science 208, 416418.

K. Turano & A. Pantle (1989). On the mechanism that encodes the movement of contrast variations: Velocity discrimination. Vision Re search 29, 207221.

K. Turano (1991). Evidence for a common motion mechanism of lu minance and contrast modulated patterns: Selective adaptation. Perception 20, 455466.

J.P.H. Vansanten & G. Sperling (1984). Temporal covariance model of human motion perception. Journal of the Optical Society of America A 1, 451473.

R. Von Der Heydt , E. Peterhans & G. Baumgartner (1984). Illusory contours and cortical neuron responses. Science 224, 12601262.

H. Wallach (1935). Uber visuell wahrgenommene bewegungsrichtung. Psychologische Forschung 20, 325380.

D. Williams , G. Phillips & R. Sekuler (1986). Hysteresis in the per ception of motion direction as evidence for neural cooperativity. Nature, 324, 253255.

D. Williams & G. Phillips (1987). Cooperative phenomena in the per ception of motion direction. Journal of the Optical Society of America A 4, 878885.

H.R. Wilson (1980a). Spatiotemporal characterization of a transient mechanism in the human visual system. Vision Research 20, 443452.

H.R. Wilson (1980b). A transducer function for threshold and suprathreshold human vision. Biological Cybernetics 38, 171178.

H.R. Wilson , D.K. McFarlane & G.C. Phillips (1983). Spatial fre quency tuning of orientation selective units estimated by oblique masking. Vision Research 23, 873882.

H.R. Wilson & D.J. Gelb (1984). Modified line element theory for spatial frequency and width discrimination. Journal of the Optical Society of America A 1, 124131.

H.R. Wilson (1985). A model for direction selectivity in threshold mo tion perception. Biological Cybernetics 51, 213222.

C. Yo & H.R. Wilson (1992b). Moving 2-D patterns capture the perceived direction of both lower and higher spatial frequencies. Vision Research (in press).

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Visual Neuroscience
  • ISSN: 0952-5238
  • EISSN: 1469-8714
  • URL: /core/journals/visual-neuroscience
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