论文标题
细菌趋化网络与最佳过滤之间的联系
A connection between bacterial chemotactic network and optimal filtering
论文作者
论文摘要
大肠杆菌的趋化网络已在生物物理和理论上进行了广泛的研究。然而，这两个方面之间的联系仍然难以捉摸。在这项工作中，我们通过表明趋化网络的标准生化模型在数学上等同于理论上最佳的最佳滤波动力学等同于，我们报告了这种联系。此外，我们证明可以从最佳动力学中重现实验观察到的非线性响应关系。这些结果表明，大肠杆菌趋化性的生化网络旨在在嘈杂条件下最佳提取梯度信息。
The chemotactic network of Escherichia coli has been studied extensively both biophysically and information-theoretically. Nevertheless, the connection between these two aspects is still elusive. In this work, we report such a connection by showing that a standard biochemical model of the chemotactic network is mathematically equivalent to an information-theoretically optimal filtering dynamics. Moreover, we demonstrate that an experimentally observed nonlinear response relation can be reproduced from the optimal dynamics. These results suggest that the biochemical network of E. coli chemotaxis is designed to optimally extract gradient information in a noisy condition.
