Li Wu, Gilbert Charles D
The Rockefeller University, New York, New York 10021.
J Neurophysiol. 2002 Nov;88(5):2846-56. doi: 10.1152/jn.00289.2002.
Our visual system can link components of contours and segregate contours from complex backgrounds based on geometric grouping rules. This is an important intermediate step in object recognition. The substrate for contour integration may be based on contextual interactions and intrinsic horizontal connections seen in primary visual cortex (V1). We examined the perceptual rules governing contour saliency to determine whether the spatial extents of contextual interactions and horizontal connections match those mediating saliency. To quantify these rules, we used stimuli composed of randomly oriented nonoverlapping line segments. Salient contours within this complex background were formed by colinear alignment of nearby segments. Contour detectability was measured using a 2-interval-forced-choice design. Contour detectability deteriorated with increasing spacing between contour elements and improved as the number of colinear line elements was increased. At short contour spacing, the detectability reached a plateau with alignment of a few line segments that together formed a contour subtending several visual degrees. At intermediate spacing, saliency built up progressively with a greater number of colinear lines, extending up to 30 degrees. When contour spacing was beyond a critical range (about 2 degrees ), however, the detectability dropped to chance levels, regardless of the number of colinear lines. Contour detectability was found to be a function not only of the relative spacing of contour elements with respect to the noise elements but also of the average density of the overall pattern. Furthermore, training significantly improved contour detection, increasing the critical spacing of line elements beyond which contours were no longer detectable. Our data suggest that global contour integration is based on mechanisms of limited spatial extent, comparable to the interactions observed in V1. These interactions can cascade over larger distances provided the spacing of stimulus elements is kept within a limited range.
我们的视觉系统能够根据几何分组规则将轮廓的各个部分连接起来,并将轮廓与复杂背景区分开来。这是物体识别过程中重要的中间步骤。轮廓整合的基础可能基于初级视觉皮层(V1)中可见的上下文交互和内在水平连接。我们研究了支配轮廓显著性的感知规则,以确定上下文交互和水平连接的空间范围是否与介导显著性的范围相匹配。为了量化这些规则,我们使用了由随机定向的非重叠线段组成的刺激。在这个复杂背景中的显著轮廓是由附近线段的共线排列形成的。轮廓可检测性通过二间隔强迫选择设计进行测量。轮廓可检测性随着轮廓元素之间间距的增加而恶化,并随着共线线段数量的增加而改善。在短轮廓间距下,随着几条共同形成一个跨越几个视觉角度的轮廓的线段对齐,可检测性达到平稳状态。在中等间距下,随着更多共线线段的出现,显著性逐渐增强,延伸至30度。然而,当轮廓间距超出临界范围(约2度)时,无论共线线段的数量如何,可检测性都会降至随机水平。发现轮廓可检测性不仅是轮廓元素相对于噪声元素的相对间距的函数,也是整体图案平均密度的函数。此外,训练显著提高了轮廓检测能力,增加了线元素的临界间距,超过该间距轮廓就不再可检测。我们的数据表明,全局轮廓整合基于有限空间范围的机制,类似于在V1中观察到的交互作用。只要刺激元素的间距保持在有限范围内,这些交互作用就可以在更大距离上级联。