Perceived direction of motion determined by adaptation to static binocular images
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Date
10/01/2012Keywords
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Abstract
In Li and Atick's [1, 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.
Citation
May , K A , Zhaoping , L & Hibbard , P B 2012 , ' Perceived direction of motion determined by adaptation to static binocular images ' , Current Biology , vol. 22 , no. 1 , pp. 28-32 . https://doi.org/10.1016/j.cub.2011.11.025
Publication
Current Biology
Status
Peer reviewed
ISSN
0960-9822Type
Journal article
Rights
© The Authors. This is an open access article, available from http://www.sciencedirect.com
Description
This work was supported by a grant to L.Z. from the Gatsby Charitable Foundation and EPSRC grant EP/H033955/1 to Joshua Solomon.Collections
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