能源消耗和协作以实现最佳感知
Energy consumption and cooperation for optimal sensing
摘要：
在存在噪声的情况下可靠地检测环境分子是一种重要的细胞功能，但其基本的计算机制还没有得到很好的理解。我们介绍了两个相互作用的传感器，它允许的信号统计，合作策略和能源消耗的作用，在最佳的传感器，量化通过信号和传感器之间的互信息的原则性探索的模型。在这里，我们报告说，在一般情况下，最佳的传感策略取决于噪声水平和信号的统计。对于联合，相关的信号，能量消耗（非平衡），非对称耦合导致在低噪声，高信号相关性限制的最大信息增益。令人惊讶的是，我们还发现，能量消耗并不总是需要最佳的传感。我们概括我们的模型，将时间积分的传感器状态的读出分子的人口，并证明传感器的相互作用和能量消耗仍然是重要的最佳传感。
英文摘要：
The reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood. We introduce a model of two interacting sensors which allows for the principled exploration of signal statistics, cooperation strategies and the role of energy consumption in optimal sensing, quantified through the mutual information between the signal and the sensors. Here we report that in general the optimal sensing strategy depends both on the noise level and the statistics of the signals. For joint, correlated signals, energy consuming (nonequilibrium), asymmetric couplings result in maximum information gain in the low-noise, high-signal-correlation limit. Surprisingly we also find that energy consumption is not always required for optimal sensing. We generalise our model to incorporate time integration of the sensor state by a population of readout molecules, and demonstrate that sensor interaction and energy consumption remain important for optimal sensing.
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