空间视觉的外部噪声归一化增益曲线。
The external noise normalized gain profile of spatial vision.
作者信息
Hou Fang, Lu Zhong-Lin, Huang Chang-Bing
机构信息
Department of Psychology, The Ohio State University, Columbus, Ohio, USA.
Department of Psychology, Center for Cognitive Brain and Sciences, and Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA.
出版信息
J Vis. 2014 Nov 12;14(13):9. doi: 10.1167/14.13.9.
The contrast sensitivity function (CSF), a measure of visual sensitivity to a wide range of spatial frequencies, has been widely used as the gain profile of the front-end filter of the visual system to predict how we perceive spatial patterns. However, the CSF itself is determined by the gain profile and other processing inefficiencies of the visual system; it may be problematic to use the CSF as the gain profile in observer models. Here, we applied the external noise paradigm and the perceptual template model (PTM) to characterize several major properties of the visual system. With the external noise normalized gain profile, nonlinearity, and internal additive and multiplicative noises, the PTM accounted for 92.8% of the variance in the experiment data measured in a wide range of conditions and revealed the major processing components that determine the CSF. Unlike the CSF, the external noise normalized gain profile of the visual system is relatively flat across a wide range of spatial frequencies. The results may have major implications for understanding normal and abnormal spatial vision.
对比敏感度函数（CSF）是对广泛空间频率的视觉敏感度的一种度量，已被广泛用作视觉系统前端滤波器的增益曲线，以预测我们如何感知空间模式。然而，CSF本身是由视觉系统的增益曲线和其他处理效率低下因素决定的；在观察者模型中使用CSF作为增益曲线可能存在问题。在这里，我们应用外部噪声范式和感知模板模型（PTM）来表征视觉系统的几个主要特性。通过外部噪声归一化增益曲线、非线性以及内部加性和乘性噪声，PTM解释了在广泛条件下测量的实验数据中92.8%的方差，并揭示了决定CSF的主要处理组件。与CSF不同，视觉系统的外部噪声归一化增益曲线在广泛的空间频率范围内相对平坦。这些结果可能对理解正常和异常空间视觉具有重要意义。
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