Figure 2.

Pattern selection through a specific global path is robust and requires a minimal yet short time. Frequency of selection of the P-pattern (R_p in percentage) versus a characteristic time of the signal. The same signal acts in all cells of the tissue at the same time (Scenario 1) and changes the values of their parameters (A) permanently or (B) transiently, according to the paths in Fig. 1, A and B, respectively. (A) Results for path 1a for stochastic dynamics (circles), and in the absence of fluctuations (stars) (Det); and results for path 1b (squares). (Blue stars) Low-dimensional system of three cells interacting in pairs (3C). (B) (Circles) Path 1a′ (solid for τ_A1 = τ_A =τ_B; and open, τ_A1 = τ_A = 0). (Squares) Path 1b′. ϕ = 191 for these three curves. Other parameter values as in Fig. 1, with t_up = 11 and 12 $\times$ 12 cells unless otherwise specified. The deterministic curves (Det in the legend) use a $10\%$ uniform random variability in the initial condition. In all cases, each point corresponds to 1000 repetitions of the selection process. To see this figure in color, go online.