How a fly photoreceptor samples light information in time.
How a fly photoreceptor samples light information in time.
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DOI：
10.1113/jp273645
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发表时间：
2017-08-15
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影响因子：
--
通讯作者：
Song Z
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作者：
Juusola M;Song Z
感光器的信息捕捉受到其感光部分的结构和功能的限制。具体地说，在苍蝇光感受器中，这一限制是由构成其光传感器(横纹层)的光子采样单元(微绒毛)的数量以及它们的光传导反应的速度和可恢复性来设定的。在这篇综述中，我们使用了一种有洞察力的建构主义观点，即苍蝇光感受器是一台不完美的光子计数机器，我们解释了这些限制如何导致自适应的量子信息采样，在对视觉信号进行抗混叠的同时，在对显著光变化的响应中最大化信息。有趣的是，这样的采样还决定了为什么光感受器从自然主义的光对比度变化中提取更多的信息，而且比高斯白噪声刺激更经济，我们解释了为什么会这样。我们的主要信息是，量子信息采样中的随机性是更少的噪声和更多的处理，代表了一种对变量世界产生可靠的神经估计的“进化适应”。
A photoreceptor's information capture is constrained by the structure and function of its light‐sensitive parts. Specifically, in a fly photoreceptor, this limit is set by the number of its photon sampling units (microvilli), constituting its light sensor (the rhabdomere), and the speed and recoverability of their phototransduction reactions. In this review, using an insightful constructionist viewpoint of a fly photoreceptor being an ‘imperfect’ photon counting machine, we explain how these constraints give rise to adaptive quantal information sampling in time, which maximises information in responses to salient light changes while antialiasing visual signals. Interestingly, such sampling innately determines also why photoreceptors extract more information, and more economically, from naturalistic light contrast changes than Gaussian white‐noise stimuli, and we explicate why this is so. Our main message is that stochasticity in quantal information sampling is less noise and more processing, representing an ‘evolutionary adaptation’ to generate a reliable neural estimate of the variable world.