Overview

Many biological structures grow by branching — filaments, vessels, neurons. We build master-equation and Monte Carlo models of stochastic filament growth and ask which features of the resulting networks are universal.

The payoff is a map from microscopic branching rates to universality classes of branch-length distributions, linking local growth mechanisms to coarse-grained network statistics.

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