Tuning transduction from hidden observables to optimize information harvesting

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 work, we uncover how biological systems can exploit these accessible degrees of freedom (DOFs) 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 DOFs 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 non-equilibrium conditions.

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Cited by in corpus (8)

• Information propagation in Gaussian processes on multilayer networks
• Weak transcription factor clustering at binding sites can facilitate information transfer from molecular signals
• Macroscopic fluctuation-response theory and its use for gene regulatory networks
• Discontinuous phase transition of feature detection in lateral predictive coding
• Irreversibility of mesoscopic processes with hydrodynamic interactions
• Unravelling the Flow of Information in a Nonequilibrium Process in the Presence of Hydrodynamic Interactions
• Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
• A Rayleigh criterion for mechanical instability: inducing activity by chemo-mechanical coupling