Fitness Gain of Individually Sensed Information by Cells

Fitness Gain of Individually Sensed Information by Cells
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DOI:
10.3390/e21101002
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发表时间:
2019-10-13
期刊:
影响因子:
2.7
通讯作者:
Sughiyama Y
Sughiyama Y
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Kobayashi TJ;Sughiyama Y

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互信息及其因果变体定向信息已被广泛用于定量表征生物传感和信息传递的性能。然而,一旦与响应于决策的选择相结合,感测信号可能具有比其相互或定向信息更多或更少的进化价值。在这项工作中,我们表明,一个单独感知的信号总是有一个更好的健身值,平均而言,比它的相互或直接的信息。适应度增益满足波动关系,是由于生物体在种群中随机选择获得更好的感知信号。引入了一个类似于信息热力学中粗粒度熵产生的新量来量化个体感知的总适应度增益,该增益也满足FR。使用这个量,优化个人感知的健身增益被证明是与个人环境历史的保真度分配。我们的研究结果是补充的FR的数值验证,并讨论这个问题是如何联系到信息编码和解码。
Mutual information and its causal variant, directed information, have been widely used to quantitatively characterize the performance of biological sensing and information transduction. However, once coupled with selection in response to decision-making, the sensing signal could have more or less evolutionary value than its mutual or directed information. In this work, we show that an individually sensed signal always has a better fitness value, on average, than its mutual or directed information. The fitness gain, which satisfies fluctuation relations (FRs), is attributed to the selection of organisms in a population that obtain a better sensing signal by chance. A new quantity, similar to the coarse-grained entropy production in information thermodynamics, is introduced to quantify the total fitness gain from individual sensing, which also satisfies FRs. Using this quantity, the optimizing fitness gain of individual sensing is shown to be related to fidelity allocations for individual environmental histories. Our results are supplemented by numerical verifications of FRs, and a discussion on how this problem is linked to information encoding and decoding.
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