论文标题
处理信息的生物效率
Biological efficiency in processing information
论文作者
论文摘要
信号转导或信号处理能力是自然的基本特性，它在不同尺度的系统中普遍表现出从量子行为到生物学的不同。这包括检测环境提示，特别是与量子系统和绿色植物的行为有关的环境提示，那里既没有有目的地传输信号的代理也没有有目的建立的通信渠道。为了表征由信号检测驱动的此类系统的动力学行为，然后进行转导，从而预测未来的统计数据，足以建模信息流。反过来，这提供了系统处理的信息数量的估计。然后，可以通过测量能耗和随后的热量产生来推断生物计算的效率。
Signal transduction, or signal-processing capability, is a fundamental property of nature that manifests universally across systems of different scales -- from quantum behaviour to the biological. This includes the detection of environmental cues, particularly relevant to behaviours of both quantum systems and green plants, where there is neither an agent purposely transmitting the signal nor a purposefully built communication channel. To characterise the dynamical behaviours of such systems driven by signal detection followed by transduction, and thus to predict future statistics, it suffices to model the flow of information. This, in turn, provides estimates for the quantity of information processed by the system. The efficiency of biological computation can then be inferred by measuring energy consumption and subsequent heat production.
