May, KA;
Zhaoping, L;
Hibbard, PB;
(2012)
Perceived Direction of Motion Determined by Adaptation to Static Binocular Images.
Current Biology
, 22
(1)
28 - 32.
10.1016/j.cub.2011.11.025.
Preview |
PDF
1346048.pdf Download (601kB) |
Abstract
In Li and Atick's [1 and 2] theory of efficient stereo coding, the two eyes' signals are transformed into uncorrelated binocular summation and difference signals, and gain control is applied to the summation and differencing channels to optimize their sensitivities. In natural vision, the optimal channel sensitivities vary from moment to moment, depending on the strengths of the summation and difference signals; these channels should therefore be separately adaptable, whereby a channel's sensitivity is reduced following overexposure to adaptation stimuli that selectively stimulate that channel. This predicts a remarkable effect of binocular adaptation on perceived direction of a dichoptic motion stimulus [3]. For this stimulus, the summation and difference signals move in opposite directions, so perceived motion direction (upward or downward) should depend on which of the two binocular channels is most strongly adapted, even if the adaptation stimuli are completely static. We confirmed this prediction: a single static dichoptic adaptation stimulus presented for less than 1 s can control perceived direction of a subsequently presented dichoptic motion stimulus. This is not predicted by any current model of motion perception and suggests that the visual cortex quickly adapts to the prevailing binocular image statistics to maximize information-coding efficiency.
Type: | Article |
---|---|
Title: | Perceived Direction of Motion Determined by Adaptation to Static Binocular Images |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.cub.2011.11.025 |
Publisher version: | http://dx.doi.org/10.1016/j.cub.2011.11.025 |
Language: | English |
Additional information: | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PubMed ID: 22177901 |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1346048 |
Archive Staff Only
View Item |