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首页> 外文期刊>Vision Research: An International Journal in Visual Science >Contour integration in color vision: a common process for the blue-yellow, red-green and luminance mechanisms?
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Contour integration in color vision: a common process for the blue-yellow, red-green and luminance mechanisms?

机译:色彩视觉中的轮廓整合:蓝黄,红绿和亮度机制的常见过程?

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We compare the performance of the red-green, blue-yellow and luminance postreceptoral mechanisms on a contour integration task requiring the linking of oriented Gabor elements across space to extract a winding 'path' or contour. We first establish that for all three mechanisms curvature and contrast are independent; losses in performance due to one cannot be compensated by changes in the other. We then compare contour integration by the three mechanisms using a method that controls for their differences in cone contrast thresholds. Our results show that despite the poor orientation discrimination thresholds and poor spatial sampling found for the blue-yellow mechanism, all three mechanisms perform similarly on contour integration over a wide range of curvatures. Furthermore, all three mechanisms have the same dependence on path curvature. We also investigate the effects of adding external orientation noise. Our results imply that the internal orientation noise for extracting 'aligned' path elements is similar in the three mechanisms and for all path curvatures, and the relative efficiencies are also similar for the three mechanisms. To account for our results, we propose that the three postreceptoral mechanisms use a common contour integration process. This linking process, however, cannot be color-blind; our last experiment shows that linking between different chromatic mechanisms or between opposite spatial phases disrupts contour integration. We thus propose that the common integration process remains sensitive to the color contrast and phase of its inputs.
机译:我们在轮廓整合任务上比较了红绿色,蓝黄色和亮度后受体机制的性能,该任务需要跨空间定向Gabor元素的链接以提取绕组“路径”或轮廓。我们首先确定,对于所有三种机制,曲率和对比度都是独立的;由于一个方面造成的性能损失不能通过另一个方面的变化来补偿。然后,我们使用控制它们的圆锥对比度阈值差异的方法,通过三种机制比较轮廓积分。我们的结果表明,尽管为蓝黄色机制发现了较差的方向识别阈值和较差的空间采样,但所有这三种机制在很大的曲率范围内对轮廓积分的表现相似。此外,所有三种机制对路径曲率的依赖性相同。我们还研究了添加外部定向噪声的影响。我们的结果表明,用于提取“对齐”路径元素的内部定向噪声在这三种机制中以及对于所有路径曲率而言都是相似的,并且相对效率在这三种机制中也相似。为了说明我们的结果,我们建议三种受体后机制使用共同的轮廓积分过程。但是,此链接过程不能是色盲的。我们的上一个实验表明,不同色度机制之间或相对空间相位之间的链接会破坏轮廓整合。因此,我们建议普通的集成过程对其输入的颜色对比度和相位保持敏感。

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