Tuning Transduction from Hidden Observables to Optimize Information Harvesting

Biological and living organisms sense and process information from their surroundings, typically having access only to a subset of external observables for a limited amount of time. In this Letter, we uncover how biological systems can exploit these accessible degrees of freedom to transduce information from the inaccessible ones with a limited energy budget. We find that optimal transduction strategies may boost information harvesting over the ideal case in which all degrees of freedom are known, even when only finite-time trajectories are observed, at the price of higher dissipation. We apply our results to red blood cells, inferring the implemented transduction strategy from membrane flickering data and shedding light on the connection between mechanical stress and transduction efficiency. Our framework offers novel insights into the adaptive strategies of biological systems under nonequilibrium conditions.

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Publication Details

Journal
Physical Review Letters
Published
2024-10-07
DOI
https://doi.org/10.1103/physrevlett.133.158401
Citations
16
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.34

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article

Tuning Transduction from Hidden Observables to Optimize Information Harvesting

Daniel Maria Busiello, Giorgio Nicoletti
16 citations
Physical Review Letters
Advanced Memory and Neural Computing
3.34
article

Tuning Transduction from Hidden Observables to Optimize Information Harvesting

Daniel Maria Busiello, Giorgio Nicoletti
article en
16 citations

Abstract

Biological and living organisms sense and process information from their surroundings, typically having access only to a subset of external observables for a limited amount of time. In this Letter, we uncover how biological systems can exploit these accessible degrees of freedom to transduce information from the inaccessible ones with a limited energy budget. We find that optimal transduction strategies may boost information harvesting over the ideal case in which all degrees of freedom are known, even when only finite-time trajectories are observed, at the price of higher dissipation. We apply our results to red blood cells, inferring the implemented transduction strategy from membrane flickering data and shedding light on the connection between mechanical stress and transduction efficiency. Our framework offers novel insights into the adaptive strategies of biological systems under nonequilibrium conditions.

Physical Review LettersVol. 133(15)
Max Planck Institute for the Physics of Complex Systems (DE), École Polytechnique Fédérale de Lausanne (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Max-Planck-Institut für Physik Komplexer Systeme
Affordable and clean energy
Openalex Percentile: Top 7%
Advanced Memory and Neural Computing
3.34
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