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Fitness Gain of Individually Sensed Information by Cells

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 ev...

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Autores principales: Kobayashi, Tetsuya J., Sughiyama, Yuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514213/
http://dx.doi.org/10.3390/e21101002
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author Kobayashi, Tetsuya J.
Sughiyama, Yuki
author_facet Kobayashi, Tetsuya J.
Sughiyama, Yuki
author_sort Kobayashi, Tetsuya J.
collection PubMed
description 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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spelling pubmed-75142132020-11-09 Fitness Gain of Individually Sensed Information by Cells Kobayashi, Tetsuya J. Sughiyama, Yuki Entropy (Basel) Article 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. MDPI 2019-10-13 /pmc/articles/PMC7514213/ http://dx.doi.org/10.3390/e21101002 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kobayashi, Tetsuya J.
Sughiyama, Yuki
Fitness Gain of Individually Sensed Information by Cells
title Fitness Gain of Individually Sensed Information by Cells
title_full Fitness Gain of Individually Sensed Information by Cells
title_fullStr Fitness Gain of Individually Sensed Information by Cells
title_full_unstemmed Fitness Gain of Individually Sensed Information by Cells
title_short Fitness Gain of Individually Sensed Information by Cells
title_sort fitness gain of individually sensed information by cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514213/
http://dx.doi.org/10.3390/e21101002
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