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可见度窗口如何随极角变化。

How the window of visibility varies around polar angle.

作者信息

Kwak Yuna, Lu Zhong-Lin, Carrasco Marisa

机构信息

Department of Psychology, New York University, New York, United States.

Department of Arts & Sciences, New York University Shanghai, Shanghai, China.

出版信息

bioRxiv. 2024 Jul 16:2024.07.12.603257. doi: 10.1101/2024.07.12.603257.

Abstract

Contrast sensitivity, the amount of contrast required to detect or discriminate an object, depends on spatial frequency (SF): The Contrast Sensitivity Function (CSF) peaks at intermediate SFs and drops at lower and higher SFs and is the basis of computational models of visual object recognition. The CSF varies from foveal to peripheral vision, but only a couple studies have assessed changes around polar angle of the visual field. Sensitivity is generally better along the horizontal than the vertical meridian, and better at the lower vertical than the upper vertical meridian, yielding polar angle asymmetries. Here, we investigate CSF attributes at polar angle locations at both group and individual levels, using Hierarchical Bayesian Modeling. This method enables precise estimation of CSF parameters by decomposing the variability of the dataset into multiple levels and analyzing covariance across observers. At the group level, peak contrast sensitivity and corresponding spatial frequency with the highest sensitivity are higher at the horizontal than vertical meridian, and at the lower than upper vertical meridian. At an individual level, CSF attributes (e.g., maximum sensitivity, the most preferred SF) across locations are highly correlated, indicating that although the CSFs differ across locations, the CSF at one location is predictive of the CSF at another location. Within each location, the CSF attributes co-vary, indicating that CSFs across individuals vary in a consistent manner (e.g., as maximum sensitivity increases, so does the SF at which sensitivity peaks), but more so at the horizontal than the vertical meridian locations. These results show similarities and uncover some critical polar angle differences across locations and individuals, suggesting that the CSF should not be generalized across iso-eccentric locations around the visual field. Our window of visibility varies with polar angle: It is enhanced and more consistent at the horizontal meridian.

摘要

对比敏感度,即检测或辨别物体所需的对比度,取决于空间频率(SF):对比敏感度函数(CSF)在中等空间频率处达到峰值,在较低和较高空间频率处下降,并且是视觉物体识别计算模型的基础。CSF在中央凹到周边视觉中有所不同,但只有少数研究评估了视野极角周围的变化。一般来说,沿着水平子午线的敏感度比垂直子午线更好,并且在垂直子午线下方比上方更好,从而产生极角不对称。在这里,我们使用分层贝叶斯建模在组和个体层面研究极角位置的CSF属性。这种方法通过将数据集的变异性分解为多个层次并分析观察者之间的协方差,能够精确估计CSF参数。在组层面,水平子午线处的峰值对比敏感度和具有最高敏感度的相应空间频率高于垂直子午线,并且在垂直子午线下方高于上方。在个体层面,不同位置的CSF属性(例如,最大敏感度、最偏好的空间频率)高度相关,这表明尽管不同位置的CSF不同,但一个位置的CSF可以预测另一个位置的CSF。在每个位置内,CSF属性共同变化,这表明不同个体的CSF以一致的方式变化(例如,随着最大敏感度增加,敏感度峰值处的空间频率也增加),但在水平子午线位置比垂直子午线位置更明显。这些结果显示了相似性,并揭示了不同位置和个体之间一些关键的极角差异,表明CSF不应在视野周围的等偏心位置进行泛化。我们的可见窗口随极角而变化:在水平子午线处增强且更一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f257/11275830/43026c822307/nihpp-2024.07.12.603257v1-f0001.jpg

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