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Related Experiment Video

Updated: Apr 15, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Entropy-production-driven oscillators in simple nonequilibrium networks.

Jeffrey K Weber¹, Vijay S Pande¹

¹Department of Chemistry, Stanford University, Stanford, California 94305, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|April 15, 2015

Summary

Researchers used the λ ensemble method to simulate cellular dynamics. This approach revealed that entropy production can drive damped oscillations, mimicking cellular switches and oscillators.

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Area of Science:

Biophysics
Computational Biology
Statistical Mechanics

Background:

Describing cellular dynamics requires tractable nonequilibrium simulation methods.
Current methods face challenges in capturing functional dynamics within living cells.

Purpose of the Study:

To characterize dissipative dynamics in a Markovian network using the λ ensemble method.
To explore how external potentials drive cellular-like behaviors in simulated systems.

Main Methods:

Employed the λ ensemble, a nonequilibrium simulation approach.
Studied a simple Markovian network subjected to an external potential.
Analyzed systems in both weakly and strongly driven regimes.

Main Results:

Observed a dynamical structure resembling cellular architectures in a highly dissipative regime.
Entropy production was found to drive damped oscillations over network state populations.
Characterized oscillation properties under varying driving strengths.

Conclusions:

The λ ensemble method provides insights into cellular dynamics.
Entropy-driven damped oscillations can model cellular switches and oscillators.
Dynamical phase transitions in simulated systems correlate with cellular control structures.