Quantifying dissipation in stochastic complex oscillations
Athokpam Langlen Chanu, Preet Mishra, Shyam Kumar, R. K. Brojen, Singh

TL;DR
This paper investigates energy dissipation in stochastic complex oscillations of biological systems, revealing higher thermodynamic costs for complex and chaotic behaviors compared to simple oscillations.
Contribution
It introduces stochastic models for biological oscillators and analyzes their entropy production, highlighting the thermodynamic costs of complex oscillatory dynamics.
Findings
Higher entropy production in complex oscillations compared to simple ones
Transition from periodic to chaotic oscillations involves increased thermodynamic cost
Complex cellular processes involve higher energy dissipation
Abstract
Fluctuations-driven complex oscillations are experimentally observed in cellular systems such as hepatocytes, cardiac cells, neuronal cells, etc. These systems are generally operating in regimes far from thermodynamic equilibrium. To study nonequilibrium thermodynamic properties such as energy dissipation in stochastic complex oscillations, we consider stochastic modeling of two nonlinear biological oscillators, namely, the intracellular calcium (Ca) oscillation model and the Hindmarsh-Rose model for neuronal dynamics. These models exhibit various types of complex oscillations like bursting and quasi-periodic oscillations for various system parameter values. In this work, we formulate open chemical reaction schemes for the two model systems driving the systems far from thermodynamic equilibrium. We then analyze the steady-state total entropy production rate (EPR) in the various…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation
