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Self-Organized Criticality in Developing Neuronal Networks

Figure 5

Avalanche distribution of the model in Phase I and II.

Gray areas in insets (taken from Figure 4 B) show the time point in the development. (top): (A) Initially, the connectivity between neurons is zero. Because of that a Poisson-like distribution describes the spontaneous neuronal activity best. (B,C) With increasing (B: ; C: ), the avalanche distribution turns from a Poisson into a power-law like distribution similar to Figure 3 A. (bottom): In Phase II without inhibition (D), no real avalanche distribution can be observed and one sees only one or two “avalanches” (marked by a cross). Adding inhibition brings the system back into a stable, albeit supercritical regime. Within a wide tested range (Table 2), the amount of inhibition does not significantly change the degree of supercriticality. (E) Network with weak inhibition and (F) with strong inhibition .

Figure 5

doi: https://doi.org/10.1371/journal.pcbi.1001013.g005