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识别视觉单词形式:空间总和、偏心率和空间构型。

Seeing visual word forms: spatial summation, eccentricity and spatial configuration.

作者信息

Kao Chien-Hui, Chen Chien-Chung

机构信息

Department of Psychology, National Taiwan University, Taipei, Taiwan.

出版信息

Vision Res. 2012 Jun 1;62:57-65. doi: 10.1016/j.visres.2012.03.015. Epub 2012 Apr 4.

Abstract

We investigated observers' performance in detecting and discriminating visual word forms as a function of target size and retinal eccentricity. The contrast threshold of visual words was measured with a spatial two-alternative forced-choice paradigm and a PSI adaptive method. The observers were to indicate which of two sides contained a stimulus in the detection task, and which contained a real character (as opposed to a pseudo- or non-character) in the discrimination task. When the target size was sufficiently small, the detection threshold of a character decreased as its size increased, with a slope of -1/2 on log-log coordinates, up to a critical size at all eccentricities and for all stimulus types. The discrimination threshold decreased with target size with a slope of -1 up to a critical size that was dependent on stimulus type and eccentricity. Beyond that size, the threshold decreased with a slope of -1/2 on log-log coordinates before leveling out. The data was well fit by a spatial summation model that contains local receptive fields (RFs) and a summation across these filters within an attention window. Our result implies that detection is mediated by local RFs smaller than any tested stimuli and thus detection performance is dominated by summation across receptive fields. On the other hand, discrimination is dominated by a summation within a local RF in the fovea but a cross RF summation in the periphery.

摘要

我们研究了观察者在检测和辨别视觉单词形式时的表现,该表现是目标大小和视网膜偏心度的函数。使用空间二选一强制选择范式和PSI自适应方法测量视觉单词的对比度阈值。在检测任务中,观察者要指出两侧中的哪一侧包含刺激;在辨别任务中,要指出哪一侧包含真实字符(与伪字符或非字符相对)。当目标大小足够小时,字符的检测阈值随其大小增加而降低,在对数-对数坐标上斜率为-1/2,直至在所有偏心度和所有刺激类型下达到临界大小。辨别阈值随目标大小降低,斜率为-1,直至达到取决于刺激类型和偏心度的临界大小。超过该大小后,阈值在对数-对数坐标上以-1/2的斜率降低,然后趋于平稳。数据通过包含局部感受野(RFs)以及在注意力窗口内对这些滤波器进行求和的空间总和模型得到了很好的拟合。我们的结果表明,检测由小于任何测试刺激的局部RFs介导,因此检测性能由感受野之间的求和主导。另一方面,辨别在中央凹由局部RF内的求和主导,而在周边由跨RF求和主导。

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