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"Discrimination of Shifted Centers-of-Motion in a Patient that cannot Perceive Radial Motion " |
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Scott A. Beardsley & Lucia M. Vaina
Brain & Vision Research Laboratory
Department of Biomedical Engineering
Boston University
Boston MA 02215
USA
Purpose. We use psychophysical data from a motion-impaired stroke
patient, GZ (Vaina & Goldberg 2002), to challenge the generally accepted
view that a precise computation of local and/or global motion information
is necessary for recovering the 2D center-of-motion (COM) associated with
translational direction in a 3D scene, (Reiger & Lawton 1985; Bruss &
Horn 1983). Methods. Motion stimuli were represented as constant density
random dot kinematograms presented within a 24 deg. aperture (central 4 deg.
removed) for 440±40ms. In two perceptual tasks observers were presented
with 30 deg/s radial (expansion/contraction) or circular (CW/CCW) motion-patterns
and were required to discriminate (1) the shift in the COM, left or right,
relative to a central fixation or (2) opposing motion-patterns (e.g. expansion
vs. contraction) defined by a proportion of signal dots embedded in masking
motion noise (Motion Pattern Coherence). Results. In normal observers
(1) COM thresholds for circular motion-patterns were significantly higher
than for radial motion-patterns (p<0.005; t(19)=2.92) while in (2) discrimination
thresholds for radial and circular motion-patterns were comparable (~10%).
GZ was only able to discriminate moderate shifts (~1 deg) in the COM for
radial and circular motion-patterns. In contrast GZ totally failed to discriminate
radial motion-patterns even at 100% coherence. However, she could discriminate
CW from CCW motion and radial from circular motion-patterns. Conclusion.
GZ's performance could be explained by a mechanism that computes a scalar
norm from the motion-pattern for use as an error measure to localize the
COM (Sundareswaran 1992). In this scheme a sparse sampling of scalar errors
across the visual field provides a coarse spatial localization of the COM,
independent of the type of radial motion-pattern. Discrimination with finer
accuracy can be obtained through computations that use the direction information
of the radial motion-patterns.