Journal of Vision. 2009;9(6):10. doi: /9.6.10 Figure Legend:

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From: Asymmetric interaction between motion and stereopsis revealed by concurrent adaptation Journal of Vision. 2009;9(6):10. doi:10.1167/9.6.10 Figure Legend: Detection thresholds and adaptation effects in the motion task. Data from different adaptor types, contrast levels of testers, and observers are plotted together. The shapes of symbols indicate different types of adaptor: RN for the adaptor moving to the rightward at the near disparity; LN for moving leftward at near disparity, RF for moving rightward at far disparity, and LF for moving leftward at far disparity. The brightness of symbols indicates the contrast level of tester stimuli: black for high contrast and gray for low contrast. A–D. Pairs of pre- and post-adaptation detection thresholds for four different tester conditions: A, same direction and same disparity as the adaptor (‘SS’); B, different direction and same disparity (‘DS’); C, same direction and different disparity (‘SD’); D, different direction and different disparity (‘DD’). The arrows and numbers indicate average thresholds for pre- and post-adaptation in each condition. E–F. Adaptation indices for the non-adapted disparity (ordinate) plotted against those for the adapted disparity (abscissa): E, AIs from the condition where the test direction was the same as the adaptor; F, AIs from the condition where it was opposite to the direction of the adaptor. The histograms are projected frequency distributions of AIs along horizontal (‘SS’ or ‘DS’) or vertical axes (‘SD’ or ‘DD’). High and low contrast conditions are described as stacked bars, each corresponds to black and gray portions of the bars. The bars in color indicate AIs that were significantly different from zero with the 95% confidence interval of estimation (red for ‘conventional adaptation’ and blue for ‘null adaptation’). The arrow indicates the average of the distribution. Error bars are standard error (SE) estimated by a bootstrap procedure (see Materials and methods). Date of download: 10/23/2017 The Association for Research in Vision and Ophthalmology Copyright © 2017. All rights reserved.