A reinterpretation of critical flicker-frequency (CFF) data reveals key details about light adaptation and normal and abnormal visual processing.
A reinterpretation of critical flicker-frequency (CFF) data reveals key details about light adaptation and normal and abnormal visual processing.
复制标题
对临界闪烁频率(CFF)数据的重新解释揭示了有关光适应以及正常和异常视觉处理的关键细节。
DOI:
10.1016/j.preteyeres.2021.101001
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发表时间:
2022
影响因子:
17.8
通讯作者:
Rider AT
中科院分区:
文献类型:
--
作者:
Rider AT
Our ability to see flicker has an upper frequency limit above which flicker is invisible, known as the “critical flicker frequency” (CFF), that typically grows with light intensity (I). The relation between CFF andI, the focus of nearly 200 years of research, is roughly logarithmic,i.e., CFF ∝ log(I)—a relation called the Ferry-Porter law. However, why this law should occur, and how it relates to the underlying physiology, have never been adequately explained. Over the past two decades we have measured CFF in normal observers and in patients with retinal gene defects. Here, we reanalyse and model our data and historical CFF data. Remarkably, CFF-versus-Ifunctions measured under a wide range of conditions in patients and in normal observers all have broadly similar shapes when plotted in double-logarithmic coordinates,i.e., log (CFF)-versus-log(I). Thus, the entire dataset can be characterised by horizontal and vertical logarithmic shifts of a fixed-shape template. Shape invariance can be predicted by a simple model of visual processing built from a sequence of low-pass filters, subtractive feedforward stages and gain adjustment (Rider, Henning & Stockman, 2019). It depends primarily on the numbers of visual processing stages that approach their power-law region at a given intensity and a frequency-independent gain reduction at higher light levels. Counter-intuitively, the CFF-versus-Irelation depends primarily on the gain of the visual response rather than its speed—a conclusion that changes our understanding and interpretation of human flicker perception. The Ferry-Porter “law” is merely an approximation of the shape-invariant template.