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The integration of straight contours (snakes and ladders): the role of spatial arrangement, spatial frequency and spatial phase

机译:直线轮廓(蛇形和梯形)的整合:空间排列,空间频率和空间相位的作用

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摘要

In the present study we addressed the issue of whether the Gestalt principle of grouping by similarity (iso-orientation) subtends extraction of straight contours made up of disconnected, iso-oriented Gabor elements, whether collinear (snakes) or parallel (ladders). To prevent the use of the most obvious grouping principle of good continuation, which allows us to perceive the relation between local and global orientation along the contour, we manipulated the spatial arrangement of randomly oriented Gabors in the background: they were positioned on an ordered grid, and grouped on the basis of good continuation, or randomly positioned and not grouped. Grid-positioned backgrounds exert a suppressive contextual influence on detection of good continuation along the contour path. Results obtained in a two-interval forced choice task showed that the orderly-positioned background did not completely prevent detection of snakes and ladders. Detection of snakes was hampered at low spatial frequency whereas detection of ladders was improved by the randomly-positioned background at high spatial frequency. These contextual influences support the suggestion that both iso-orientation and good continuation rules are employed by the association field underlying the binding of straight contours. In addition, they are not compatible with integration of snakes and ladders elements within a single receptive field. In support of this suggestion we found that phase constancy within contour elements (as opposed to phase randomization) improved snake detectability at low spatial frequency, and, unexpectedly, impaired ladder detectability at high spatial frequency. This suggests that a low-level mechanism based on the balance between excitatory and inhibitory lateral interactions at a first stage may account for the detection of both straight contours.
机译:在本研究中,我们解决了以格式塔(Gestalt)原理通过相似性(等方位)分组的问题是否支持提取由断开的,等向的Gabor元素(共线(蛇形)还是平行(梯形))组成的笔直轮廓的问题。为了防止使用最明显的良好连续性分组原理,这使我们能够感知沿轮廓的局部方向和全局方向之间的关系,我们在背景中操纵了随机定向的Gabors的空间排列:将它们放置在有序网格上,并根据良好的延续性进行分组,或者随机放置而不进行分组。网格定位的背景会对沿轮廓路径的良好连续性的检测产生抑制性的上下文影响。在两个时间间隔的强制选择任务中获得的结果表明,有序放置的背景并不能完全防止检测到蛇和梯子。在低空间频率下,蛇的检测受到阻碍,而在高空间频率下,随机放置的背景改善了对梯子的检测。这些上下文影响支持这样的建议,即同构方向和良好的连续规则都被直线轮廓绑定背后的关联字段采用。此外,它们与蛇和梯子元素在单个接受域中的集成不兼容。为支持该建议,我们发现轮廓元素内的相位恒定性(与相位随机化相反)提高了在低空间频率下的蛇可检测性,并且出乎意料的是,在高空间频率下削弱了梯子的可检测性。这表明在第一阶段基于兴奋性和抑制性横向相互作用之间平衡的低水平机制可能解释了两个笔直轮廓的检测。

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