Quantal noise and decision rules in dynamic models of light adaptation.
Quantal noise and decision rules in dynamic models of light adaptation.
复制标题
光适应动态模型中的量子噪声和决策规则。
DOI:
10.1016/0042-6989(92)90193-m
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发表时间:
1992
期刊:
影响因子:
1.8
通讯作者:
Hood,DC
中科院分区:
文献类型:
--
作者:
Graham,N;Hood,DC
To evaluate some of the consequences of including probabilistic processes (e.g. quantal noise) in a computable model of light-adaptation dynamics, we considered the behavior of a general class of models. These models contain four stages:(1)early noise;(2)a deterministic filtering and gain-changing stage;(3)late noise;(4)a decision rule that is either an ideal (signal-known-exactly) detector or a peak-trough detector. With the ideal detector andwithoutlate noise, the observer's sensitivity as a function of mean luminance and temporal frequency is not affected by the filtering and gain-changing stage. Consequently, if the early noise is entirely quantal fluctuations, sensitivity will always be a square-root function of mean luminance and a uniform (flat) function of temporal frequency. This latter prediction is contradicted by all known data; either the ideal-detector is the wrong decision rule or sensitivity is almost always limited by sources of noise other than quantal fluctuations. With the peak-trough detector, however, with or without late noise, the observer's sensitivity as a function of temporal frequency does reflect the sensitivity of the low-level filtering and gain-changing stage. Late noise is needed, however, if the observer's sensitivity as a function of mean luminance is to go through both a square-root and a Weber region. Comparing these conclusions to similar work on the spatial frequency dimension highlights differences between the spatial and temporal frequency domains. Finally, on the basis of these analyses and evidence from the literature, we question whether quantal fluctuations limit visual sensitivity under any condition.