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Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis

Kingdom, Frederick AA and Yared, Karl-Christopher and Hibbard, Paul B and May, Keith A (2020) 'Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis.' Vision Research, 166. pp. 60-71. ISSN 0042-6989

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Stereoscopic, or “3D” vision in humans is mediated by neurons sensitive to the disparities in the positions of objects in the two eyes’ views. A disparity-sensitive neuron is typically characterized by its responses to left- and right-eye monocular signals, SL and SR, respectively. However, it can alternatively be characterized by sensitivity to the sum of the two eyes’ inputs, S+ = SL + SR, and the difference, S− = SL − SR. Li and Atick's theory of efficient binocular encoding proposes that the S+ and S− signals can be separately weighted to maximize the efficiency with which binocular information is encoded. This adaptation changes each neuron's sensitivity and preferred binocular disparity, resulting in predicted effects on the perceived stereoscopic depth of objects. To test these predictions, we measured the apparent depth of a random-dot stereogram with an ‘in-front’ target following adaptation to binocularly correlated or anti-correlated horizontally-oriented grating stimuli, which reduce sensitivity to the S+ and S− signals, respectively, but which contain no conventional stereo-depth signals. The anti-correlated noise adaptation made the target appear relatively closer to the background than the correlated noise adaptation, with differences of up to 60%. We show how this finding can be accommodated by a standard model of binocular disparity processing, modified to incorporate the binocular adaptation suggested by Li and Atick's theory.

Item Type: Article
Uncontrolled Keywords: Stereopsis; Adaptation; Efficient coding; Binocular summing channel; Binocular differencing channel
Divisions: Faculty of Science and Health
Faculty of Science and Health > Psychology, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 21 Feb 2020 11:38
Last Modified: 06 Jan 2022 14:08

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