Fig. 2: Identifying the time-dependence of system parameters.

A Results of the various scenarios considered in ref. ¹² and reviewed in ref. ²⁶. The system parameters are given by time-dependent functions \(r(t)={r}_{max}{e}^{-{\beta }_{r}t}\) and \(b(t)=\frac{1}{2}(1+{e}^{-{\beta }_{b}t}(2{b}_{min}-1))\) introduced in refs. ^12,38, which are basic examples of decaying activation and increasing self-renewal. Plots adapted from ref. ²⁶. B System parameters, i.e., activation rate r and fraction of self-renewal b from the linear model plotted against values of various neural lineage populations (scaled up to 1000 cells). C 3D plot of the activation rate r with respect to various combinations of neural cell subpopulations.