Project Details
Description
Inefficiency of visual processing may be partitioned into two broad
categories: unreliability of "noisiness" of the nervous system and
systematic error or "distortion". The goal of the proposed research is to
psychophysically characterize the visual deficit of human observers in
terms of intrinsic noise and systematic error. Results from this study
have the potential to localize the source of a visual problem, to produce
useful diagnostic indicies and to understand the underlying causes of
visual deficits. The partitioning of inefficiency of visual detection into
these two components may be accomplished by the measurement of contrast
sensitivity (and its rate of change) in the presence of various levels of
visual noise. This technique has the following advantages over
conventional contrast sensitivity measures: 1) Contrast detection in high
levels of noise can effectively by-pass the optics, yielding a measure of
performance which is primarily dependent on the quality of the succeeding
neural machinery irrespective of its noisiness. 2) Comparison of high
noise performance with low noise performance leads to an index of
"noisiness" 3) High levels of noise permit the study of high contrast
vision with the same methods which have been applied to low contrast
vision. 4) Human performance can be measured on an absolute scale. The
measure called "efficiency", specifies the fraction of the available
statistical information an observer is using. In order to assess the
utility of this procedure, the study will restrict itself to two classes of
patients: those with primarily optic media opacities, and those with optic
neuritis. It is believed that the first class may show mainly systematic
errors of vision, whereas the second may show increased noisiness of
information transmission.
Status | Finished |
---|---|
Effective start/end date | 12/31/89 → 12/31/89 |
Funding
- National Eye Institute
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