Elsevier

Vision Research

Volume 29, Issue 10, 1989, Pages 1389-1400
Vision Research

Orientation discrimination for objects defined by relative motion and objects defined by luminance contrast

https://doi.org/10.1016/0042-6989(89)90194-6Get rights and content

Abstract

A bar-shaped area within a pattern of random dots was demarcated by moving the dots within the bar at a velocity equal and opposite to the velocity of dots outside the bar. Orientation discrimination for this motion-defined dotted bar was compared with orientation discrimination for a contrast-defined dotted bar that was created by switching off all dots outside the bar. Orientation discrimination was approximately as acute (approx. 0.5 deg) for a motion-defined bar as for a contrast-defined dotted bar, provided that dot contrast and speed were both high. Furthermore, this 0.5 deg discrimination compares with the most acute values reported for sharp-edged lines and sinewave gratings. For the motion-defined bar discrimination fell off rapidly when dot contrast was reduced, but remained acute for the contrast-defined bar for a further reduction of 0.6 log units. Thus, there was a 4:1 range of contrasts over which discrimination had collapsed for the motion-defined bar but remained acute for the contrast-defined bar. For the motion-defined bar discrimination also fell off rapidly at low dot speeds, but was almost unaffected by speed for the contrast-defined bar. These findings bear on the question whether orientation of motion-defined and contrast-defined bars are analyzed by the same or by different neural mechanisms, and pose a challenge for current theories of orientation discrimination.

Reference (50)

  • OrbanG.A. et al.

    Human orientation discrimination tested with long stimuli

    Vision Research

    (1984)
  • ReganD. et al.

    Periodicity in orientation discrimination and the unconfounding of visual information

    Vision Research

    (1986)
  • AlbrightT.D. et al.

    Orientation selective responses to motion contrast boundaries in macaque VI

    Society for Neurosciences Abstracts

    (1989)
  • AllmanJ. et al.

    Stimulus specific responses from beyond the classical receptive field

    Annual Reviews, Neuroscience

    (1985)
  • AndersonC.H. et al.

    Shifter circuits: A computational strategy for dynamic aspects of visual processing

  • AndrewsD.P.

    Perception of contours in the central fovea

    Nature, London

    (1965)
  • AndrewsD.P.

    Perception of contour orientation in the central fovea. Part I: Short lines

    Vision Research

    (1967)
  • AppelleS.

    Perception and discrimination as a function of stimulus orientation. The “oblique effect” in man and animals

    Psychology Bulletin

    (1972)
  • BlakemoreC. et al.

    The orientational specificity of two visual after-effects

    Journal of Physiology, London

    (1971)
  • BurbeckC.A. et al.

    Independence of orientation and size in spatial discrimination

    Journal of Optical Society of America

    (1983)
  • CampbellF.W. et al.

    The angular selectivity of visual cortical cells to moving gratings

    Journal of Physiology, London

    (1968)
  • FinneyD.J.

    Probit analysis

    (1971)
  • HubelD.H. et al.

    Receptive fields and functional architecture of monkey striate cortex

    Journal of Physiology, London

    (1968)
  • JastrowJ.

    On the judgement of angles and positions of lines

    American Journal of Psychology

    (1893)
  • MarrD.

    Vision

    (1982)
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