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通过群体数据的因子分析对视差敏感性背后的空间频率通道进行特征描述

Characterization of Spatial Frequency Channels Underlying Disparity Sensitivity by Factor Analysis of Population Data.

作者信息

Reynaud Alexandre, Hess Robert F

机构信息

McGill Vision Research, Department of Ophthalmology, McGill UniversityMontreal, QC, Canada.

出版信息

Front Comput Neurosci. 2017 Jul 11;11:63. doi: 10.3389/fncom.2017.00063. eCollection 2017.

Abstract

It has been suggested that at least two mechanisms mediate disparity processing, one for coarse and one for fine disparities. Here we analyze individual differences in our previously measured normative dataset on the disparity sensitivity as a function of spatial frequency of 61 observers to assess the tuning of the spatial frequency channels underlying disparity sensitivity for oblique corrugations (Reynaud et al., 2015). Inter-correlations and factor analysis of the population data revealed two spatial frequency channels for disparity sensitivity: one tuned to high spatial frequencies and one tuned to low spatial frequencies. Our results confirm that disparity is encoded by spatial frequency channels of different sensitivities tuned to different ranges of corrugation frequencies.

摘要

有人提出,至少有两种机制介导视差处理,一种用于粗略视差,一种用于精细视差。在这里,我们分析了我们之前测量的61名观察者的视差敏感性规范数据集的个体差异,该差异是作为空间频率的函数,以评估斜向波纹视差敏感性背后的空间频率通道的调谐情况(雷诺等人,2015年)。总体数据的相互相关性和因子分析揭示了视差敏感性的两个空间频率通道:一个调谐到高空间频率,一个调谐到低空间频率。我们的结果证实,视差是由调谐到不同波纹频率范围的不同敏感性的空间频率通道编码的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4071/5504344/dd22216d190b/fncom-11-00063-g0001.jpg

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