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在周边区域无法检测到阶梯状轮廓:这是一种拥挤效应吗?

Ladder contours are undetectable in the periphery: a crowding effect?

作者信息

May Keith A, Hess Robert F

机构信息

McGill Vision Research Unit, Department of Ophthalmology, McGill University, Montréal, Québec, Canada.

出版信息

J Vis. 2007 Oct 29;7(13):9.1-15. doi: 10.1167/7.13.9.

Abstract

We studied the perceptual integration of contours consisting of Gabor elements positioned along a smooth path, embedded among distractor elements. Contour elements either formed tangents to the path ("snakes") or were perpendicular to it ("ladders"). Perfectly straight snakes and ladders were easily detected in the fovea but, at an eccentricity of 6 degrees , only the snakes were detectable. The disproportionate impairment of peripheral ladder detection remained when we brought foveal performance away from ceiling by jittering the orientations of the elements. We propose that the failure to detect peripheral ladders is a form of crowding, the phenomenon observed when identification of peripherally located letters is disrupted by flanking letters. D. G. Pelli, M. Palomares, and N. J. Majaj (2004) outlined a model in which simple feature detectors are followed by integration fields, which are involved in tasks, such as letter identification, that require the outputs of several detectors. They proposed that crowding occurs because small integration fields are absent from the periphery, leading to inappropriate feature integration by large peripheral integration fields. We argue that the "association field," which has been proposed to mediate contour integration (D. J. Field, A. Hayes, & R. F. Hess, 1993), is a type of integration field. Our data are explained by an elaboration of Pelli et al.'s model, in which weak ladder integration competes with strong snake integration. In the fovea, the association fields were small, and the model integrated snakes and ladders with little interference. In the periphery, the association fields were large, and integration of ladders was severely disrupted by interference from spurious snake contours. In contrast, the model easily detected snake contours in the periphery. In a further demonstration of the possible link between contour integration and crowding, we ran our contour integration model on groups of three-letter stimuli made from short line segments. Our model showed several key properties of crowding: The critical spacing for crowding to occur was independent of the size of the target letter, scaled with eccentricity, and was greater on the peripheral side of the target.

摘要

我们研究了由沿平滑路径排列的Gabor元素组成的轮廓的知觉整合,这些轮廓元素嵌入在干扰元素之中。轮廓元素要么与路径形成切线(“蛇形”),要么与路径垂直(“梯子形”)。在中央凹处,完美笔直的蛇形和梯子形很容易被检测到,但在6度的偏心度下,只有蛇形能够被检测到。当我们通过抖动元素的方向使中央凹处的表现脱离上限时,外周梯子检测的不成比例的损伤仍然存在。我们提出,无法检测到外周梯子是一种拥挤形式,这种现象在周边字母的识别被侧翼字母干扰时会被观察到。D. G. 佩利、M. 帕洛马雷斯和N. J. 马亚伊(2004年)概述了一个模型,其中简单特征检测器之后是整合场,这些整合场参与诸如字母识别等需要多个检测器输出的任务。他们提出,拥挤的发生是因为外周没有小的整合场,导致大的外周整合场进行不适当的特征整合。我们认为,被提议用于介导轮廓整合的“关联场”(D. J.菲尔德、A. 海斯和R. F. 赫斯,1993年)是一种整合场。我们的数据通过对佩利等人模型的详细阐述得到了解释,在该模型中,弱梯子整合与强蛇形整合相互竞争。在中央凹处,关联场很小,模型整合蛇形和梯子形时几乎没有干扰。在外周,关联场很大,梯子形的整合被虚假蛇形轮廓的干扰严重破坏。相比之下,该模型很容易在外周检测到蛇形轮廓。在进一步证明轮廓整合与拥挤之间可能联系的过程中,我们在由短线段组成的三个字母的刺激组上运行了我们的轮廓整合模型。我们的模型展示了拥挤的几个关键特性:拥挤发生的临界间距与目标字母的大小无关,随偏心度缩放,并且在目标的外周侧更大。

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