Psychophysical evidence for both a 'quasi-linear' and a 'nonlinear' mechanism for the detection of motion

J.C. Boulton, C.L. Baker Jr.

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    Abstract

    A random Gabor Kinematogram stimulus provides the opportunity to demonstrate Fourier and non-Fourier motion perception, and discontinuities of performance from one to the other, in a way that supports the existence of categorically distinct underlying mechanisms. Two-frame apparent motion was used with a stimulus comprised of micropatterns randomly distributed across the visual field. The micropatterns were Gabor functions that contain a narrow band of spatial frequencies and orientations while maintaining a local nature in space. Psychophysical techniques were used to assess the detection of motion of this stimulus; two underlying processes were identified and characterized. For short temporal intervals and spatially dense stimuli, the response of the visual system can be predicted from the direction information in the spatio-temporal Fourier power spectrum of the stimulus: a quasi-linear mechanism. For longer temporal intervals and spatially sparse stimuli, detection of motion is NOT predictable from the information in the spatio-temporal Fourier power spectrum. Performance is independent of the spatial frequency content and orientation of the micro-patterns, but is limited by the `density' of stimulus elements along the axis of motion: a nonlinear mechanism. It is proposed that the nonlinear mechanism is mediated by the parvocellular retina-cortical pathway, and the quasi-linear by the magnocellular pathway.
    Original languageEnglish
    Title of host publicationComputational vision based on neurobiology: Pacific Grove, CA, USA, July 6 - 9, 1993
    EditorsT.B. Lawton
    PublisherSPIE
    Pages124-133
    ISBN (Print)0-8194-1315-1
    DOIs
    Publication statusPublished - 1993

    Publication series

    NameProceedings of SPIE
    Volume2054
    ISSN (Print)0277-786X

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    Cite this

    Boulton, J. C., & Baker Jr., C. L. (1993). Psychophysical evidence for both a 'quasi-linear' and a 'nonlinear' mechanism for the detection of motion. In T. B. Lawton (Ed.), Computational vision based on neurobiology: Pacific Grove, CA, USA, July 6 - 9, 1993 (pp. 124-133). (Proceedings of SPIE; Vol. 2054). SPIE. https://doi.org/10.1117/12.171140