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How a fly photoreceptor samples light information in time

机译:飞行光感受器如何及时样本光信息

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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.
机译:感光体的信息捕获受到光敏部件的结构和功能的限制。具体地,在苍蝇光感受器中,通过其光子采样单元(MICROVILLI)的数量来设定该限制,构成其光传感器(rhabdaere),以及它们的光电传感反应的速度和可回收性。在本次综述中,使用苍蝇光感受器的富有洞察力的结构观点是“不完全”的光子计数机,我们解释了这些约束如何产生适应性量子信息采样,这使得在抗大放异性视觉信号的同时最大化对突出光变化的响应中的信息。有趣的是,这种抽样天然决定了为什么摄影师提取更多信息,更经济地,从自然主义光对比变化而不是高斯白噪声刺激,我们阐述为什么这是这样的。我们的主要消息是,量子信息采样的暂停性较少的噪音和更多的处理,代表一个“进化适应”,以产生可变世界的可靠神经估计。

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