Pooling of continuous features provides a unifying account of crowding.
Pooling of continuous features provides a unifying account of crowding.
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DOI：
10.1167/16.3.39
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发表时间：
2016
影响因子：
1.8
通讯作者：
Rosenholtz R
中科院分区：
文献类型：
--
作者：
Keshvari S;Rosenholtz R
视觉拥挤是指对周边目标的感知受到附近侧翼者的强烈影响的现象。观察者经常报告说看到的刺激是“混乱的”，或者把目标和侧翼混淆了。视觉拥挤理论争论的是刺激的哪个方面在周边视觉中被混淆。测试这些理论的尝试导致了看似相互矛盾的结果，一些实验表明，拥挤的潜在机制作用于颜色或方向等未绑定的特征（Parkes, Lund, Angelucci, Solomon, & Morgan,），而另一些实验则认为它“混淆”了更复杂的特征，甚至是字母等物体（Korte,）。这些理论中的许多都是针对显示项目的离散特征进行操作的，例如每条线的方向或每个项目的身份。相比之下，这里我们检查了纹理拼接模型的预测，该模型在连续特征测量上运行（Balas, Nakano, & Rosenholtz,）。我们从拥挤文献中发现，三个研究的主要效应与纹理平铺模型的预测一致。这表明，围绕拥挤的许多刺激特定的好奇心是特定任务的丰富图像统计信息的固有结果。
Visual crowding refers to phenomena in which the perception of a peripheral target is strongly affected by nearby flankers. Observers often report seeing the stimuli as “jumbled up,” or otherwise confuse the target with the flankers. Theories of visual crowding contend over which aspect of the stimulus gets confused in peripheral vision. Attempts to test these theories have led to seemingly conflicting results, with some experiments suggesting that the mechanism underlying crowding operates on unbound features like color or orientation (Parkes, Lund, Angelucci, Solomon, & Morgan,), while others suggest it “jumbles up” more complex features, or even objects like letters (Korte,). Many of these theories operate on discrete features of the display items, such as the orientation of each line or the identity of each item. By contrast, here we examine the predictions of the Texture Tiling Model, which operates on continuous feature measurements (Balas, Nakano, & Rosenholtz,). We show that the main effects of three studies from the crowding literature are consistent with the predictions of Texture Tiling Model. This suggests that many of the stimulus-specific curiosities surrounding crowding are the inherent result of the informativeness of a rich set of image statistics for the particular tasks.