Hs. Smallman et Dia. Macleod, SPATIAL SCALE INTERACTIONS IN STEREO SENSITIVITY AND THE NEURAL REPRESENTATION OF BINOCULAR DISPARITY, Perception, 26(8), 1997, pp. 977-994
How are binocular disparities encoded and represented in the human vis
ual system? An 'encoding cube' diagram is introduced to visualise diff
erences between competing models. To distinguish the models experiment
ally, the depth-increment-detection function (discriminating disparity
d from d +/- Delta d) was measured as a function of standing disparit
y (d) with spatially filtered random-dot stereograms of different cent
re spatial frequencies. Stereothresholds degraded more quickly as stan
ding disparity was increased with stimuli defined by high rather than
low centre spatial frequency. This is consistent with a close correlat
ion between the spatial scale of detection mechanisms and the disparit
ies they process. It is shown that a simple model, where discriminatio
n is limited by the noisy ratio of outputs of three disparity-selectiv
e mechanisms at each spatial scale, can account for the data. It is no
t necessary to invoke a population code for disparity to model the dep
th-increment-detection function. This type of encoding scheme implies
insensitivity to large interocular phase differences. Might the system
have developed a strategy to disambiguate or shift the matches made a
t fine scales with those made at the coarse scales at large standing d
isparities? In agreement with Rohaly and Wilson, no evidence was found
that this is so. Such a scheme would predict that stereothresholds de
termined with targets composed of compounds of high and low frequency
should be superior to those of either component alone. Although a smal
l stereoacuity benefit was found at small disparities, the more striki
ng result was that stereothresholds for compound-frequency targets wer
e actually degraded at large standing disparities. The results argue a
gainst neural shifting of the matching range of fine scales by coarse-
scale matches posited by certain stereo models.