Aftereffect of perceived regularity
Aftereffect of perceived regularity
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DOI：
10.1167/13.8.18
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发表时间：
2013-01-01
影响因子：
1.8
通讯作者：
Kingdom, Frederick A. A.
中科院分区：
文献类型：
--
作者：
Ouhnana, Marouane;Bell, Jason;Kingdom, Frederick A. A.
规则性是视觉世界的一个普遍特征。我们表明，规律性是一个适应性的视觉尺寸：减少感知的规律性的模式适应一个类似或更大程度的规律性的模式。刺激由排列在圆形孔径中呈现的正方形网格上的7 X 7元件阵列组成。每个元素的位置从其基线位置随机抖动一个量，确定其不规则程度。图案的元素由暗高斯斑点（GB）、高斯差分（DOG）或随机二进制图案（RBP）组成。观察者适应60 s的一个单一的模式或一对模式与特定的干扰，和随后提出的测试模式的感知干扰使用传统的阶梯匹配程序进行测量。我们发现，规则性后效（RAE）是单向的：适应只会导致测试模式显得不那么规则。我们还发现RAE从GB适配器转移到DOG和RBP测试模式，并从DOG和RBP适配器转移到GB模式。我们建议，规则性编码的峰在整个规模的空间频率信道响应的分布，和RAE是一个结果的适应这种分布的平坦化。因此，RAE可为对比度正规化的结果，且为基于范数的译码的实例，其中不规则性为范数。
Regularity is a ubiquitous feature of the visual world. We demonstrate that regularity is an adaptable visual dimension: The perceived regularity of a pattern is reduced following adaptation to a pattern with a similar or greater degree of regularity. Stimuli consisted of 7 x 7 element arrays arranged on square grids presented in a circular aperture. The position of each element was randomly jittered from its baseline position by an amount that determined its degree of irregularity. The elements of the pattern consisted of dark Gaussian blobs (GBs), difference of Gaussians (DOGs), or random binary patterns (RBPs). Observers adapted for 60 s to either a single pattern or a pair of patterns with particular regularities, and the perceived regularities of subsequently presented test patterns were measured using a conventional staircase matching procedure. We found that the regularity aftereffect (RAE) was unidirectional: Adaptation only caused test patterns to appear less regular. We also found that RAEs transferred from GB adaptors to both DOG and RBP test patterns and from DOG and RBP adaptors to GB patterns. We suggest that regularity is coded by the peakedness in the distribution of spatial-frequency channel responses across scale, and that the RAE is a result of a flattening of this distribution by adaptation. Thus, the RAE may be a consequence of contrast normalization, and an example of norm-based coding where irregularity is the norm.