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Why use noise?

机译:为什么要使用噪音?

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摘要

Measuring the dependence of visual sensitivity on parameters of the visual stimulus is a mainstay of vision science. However, it is not widely appreciated that visual sensitivity is a product of two factors that are each invariant with respect to many properties of the stimulus and task. By estimating these two factors, one can isolate visual processes more easily than by using sensitivity measures alone. The underlying idea is that noise limits all forms of communication, including vision. As an empirical matter, it is often useful to measure the human observer's threshold with and without a noise background added to the disentangle the observer's ability from the observer's intrinsic noise. And when we know how much nome there is, it is often useful to calculate ideal performance of the task at hand, as a benchmark for human performance. This strips away the intrinsic difficulty of the task to reveal a pure measure of human ability. Here we show how to do the factoring of sensitivity into efficiency and equivalent noise, and we document the invariances of the two factors.
机译:测量视觉敏感性对视觉刺激参数的依赖性是视觉科学的支柱。然而,人们并没有广泛意识到视觉敏感性是两个因素的产物,这两个因素对于刺激和任务的许多特性而言都是不变的。通过估计这两个因素,与单独使用敏感度指标相比,可以更轻松地隔离视觉过程。潜在的想法是,噪声会限制所有形式的交流,包括视觉。作为一个经验问题,通常在测量和不添加噪声背景的情况下测量人类观察者的阈值,以使观察者的能力与观察者的固有噪声区分开。而且,当我们知道有多少nome时,通常可以计算出手头任务的理想性能,以此作为人类绩效的基准。这消除了任务的内在难度,无法揭示人的能力的纯粹衡量标准。在这里,我们展示了如何将灵敏度分解为效率和等效噪声,并记录了这两个因素的不变性。

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