错误驱使生物信号进化为昂贵的代码
Errors drive the evolution of biological signalling to costly codes
摘要：
降低成本的生物信号似乎是一个进化的优势，但最近的实验表明，信号代码转移到高成本的信号与低成本的信号利用不足。在这里，我表明，错误的生物状态转换成信号的有效翻译代码，以更高的成本，有效地执行质量控制。预测信号使用的统计结构是一个广义玻尔兹曼形式，惩罚信号是昂贵的和敏感的错误。信号使用相对于信号成本的这种预测分布具有两个主要特征：成本效率所需的指数尾部和保护信令质量免受错误影响所需的低成本信号的利用不足。这些预测被证明是对应于定量的实验中，收集信号统计是可行的，在视觉皮层神经元。
英文摘要：
Reduction of costs in biological signalling seems an evolutionary advantage, but recent experiments have shown signalling codes shifted to signals of high cost with a underutilisation of low cost signals. Here I show that errors in the efficient translation of biological states into signals shift codes to higher costs, effectively performing a quality control. The statistical structure of signal usage is predicted to be of a generalised Boltzmann form that penalises signals that are costly and sensitive to errors. This predicted distribution of signal usage against signal cost has two main features: an exponential tail required for cost efficiency and an underutilisation of the low cost signals required to protect the signalling quality from the errors. These predictions are shown to correspond quantitatively to the experiments in which gathering signal statistics is feasible as in visual cortex neurons.
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