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Fisher information quantifies task-specific performance in the blowfly photoreceptor

机译:Fisher信息量化了蝇蝇感光器中特定于任务的性能

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Performance on specific tasks in an organism's everyday activities is essential to survival. In this paper, we extend information-theoretic investigation of neural systems to task specific information using a detailed biophysical model of the blowfly photoreceptor. We formulate the response of the photoreceptor to incident flashes and determine the optimal detection performance using ideal observer analysis. Furthermore, we derive Fisher information contained in the output of the photoreceptor, and show how Fisher information is related to the detection performance. In addition we use Fisher information to show the connections between detection performance, signal-noise ratio, and discriminability. Our detailed biophysical model of the blowfly photoreceptor provides a rich framework for information-theoretic study of neural systems.
机译:在有机体的日常活动中执行特定任务对于生存至关重要。在本文中,我们将使用蝇fly感光器的详细生物物理模型将神经系统的信息理论研究扩展到任务特定信息。我们制定感光器对入射闪光的响应,并使用理想的观察者分析确定最佳的检测性能。此外,我们导出包含在感光器输出中的Fisher信息,并显示Fisher信息与检测性能之间的关系。此外,我们使用Fisher信息来显示检测性能,信噪比和可分辨性之间的联系。我们关于蝇蝇感光器的详细生物物理模型为神经系统的信息理论研究提供了一个丰富的框架。

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