September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2019
The neural basis of the high degree of stereoanomaly present in the normal population
Author Affiliations & Notes
  • Sara Alarcon Carrillo
    McGill Vision Research, Department of Ophthalmology, McGill University
  • Alex S. Baldwin
    McGill Vision Research, Department of Ophthalmology, McGill University
  • Robert F. Hess
    McGill Vision Research, Department of Ophthalmology, McGill University
Journal of Vision September 2019, Vol.19, 262a. doi:
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      Sara Alarcon Carrillo, Alex S. Baldwin, Robert F. Hess; The neural basis of the high degree of stereoanomaly present in the normal population. Journal of Vision 2019;19(10):262a. doi:

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      © ARVO (1962-2015); The Authors (2016-present)

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The human visual system calculates depth from binocular disparity. This study explored the variability in stereoacuity (minimum discriminable disparity) and in the relative sensitivity to crossed (near) and uncrossed (far) disparity in adults. The task measured thresholds for identifying the location of a depth-defined shape in a field of dots. The surface appeared to be either in front of (crossed) or behind the screen (uncrossed disparity). Performance for each direction was measured separately. We measured thresholds for 53 adults (28 males) with normal vision. Thresholds ranged from 24 to 275 arc second. This range did not display a bimodal distribution (contrary to previous reports). We then used an equivalent noise approach to determine if elevation in thresholds can be attributed to larger internal input noise or reduced processing efficiency. We measured thresholds with different levels of disparity noise (affecting the disparity of each dot) in 18 subjects. Performance was unaffected at low levels of added noise, however beyond a critical value, thresholds increased with the standard deviation of the noise. This transition point indicated when the effect of the stimulus disparity noise was equivalent to the internal noise of the visual system. Thresholds calculated at high external noise levels indicate the efficiency of the system when processing the noisy input. We found differences in processing efficiency largely explained individual differences in performance. Enhanced efficiency for one direction also explained significant within-subject differences in sensitivity between crossed and uncrossed disparities. For subjects lacking a bias in either disparity direction, there was a tendency for increased equivalent internal noise to be balanced out by increased efficiency for the same direction. Our results show it is variations in the quality of processing and not in the quality of the input into disparity-processing mechanisms that explain individual differences in stereoacuity.

Acknowledgement: CIHR 2RFH 

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