# Behavior of information flow near criticality.

@article{Meijers2021BehaviorOI, title={Behavior of information flow near criticality.}, author={Matthijs Meijers and Sosuke Ito and Pieter Rein ten Wolde}, journal={Physical review. E}, year={2021}, volume={103 1}, pages={ L010102 } }

Recent experiments have indicated that many biological systems self-organize near their critical point, which hints at a common design principle. While it has been suggested that information transmission is optimized near the critical point, it remains unclear how information transmission depends on the dynamics of the input signal, the distance over which the information needs to be transmitted, and the distance to the critical point. Here we employ stochastic simulations of a driven two…

## 3 Citations

Escherichia coli chemotaxis is information limited

- Nature Physics
- 2021

Organisms acquire and use information from their environment to guide their behaviour. However, it is unclear whether this information quantitatively limits their performance at behavioural tasks.…

Inferring couplings in networks across order-disorder phase transitions

- Physics, Biology
- 2021

This work considers a reconstruction of ferromagnetic Ising models on Erdős-Rényi random graphs by direct coupling analysis (DCA), and offers insight into the regime in which DCA operates so successfully and more broadly how inference interacts with the nature of data-generating distributions.

Multicellular sensing at a feedback-induced critical point.

- Physics, BiologyPhysical review. E
- 2020

A simple biochemical model with nonlinear feedback and multicellular communication is investigated to determine if criticality provides a functional benefit in terms of the ability to gain information about a stochastic chemical signal and finds that when signal fluctuations are slow, the mutual information between the signal and the intracellular readout is maximized at criticality.

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