Information theory for data-driven model reduction in physics and biology
M. S. Schmitt, M. Koch-Janusz, M. Fruchart, D. S. Seara, M. Rust, V. Vitelli
This paper develops an information-theoretic framework for model reduction in physics and biology, identifying relevant variables that predict future dynamics and demonstrating its application to atmospheric flows and cyanobacteria colonies.
bioRxiv · Apr 19, 2024 · PreprintBiophysics