Figure 4.

Moderate functional modularity promotes close to power law ASDs. A, ASDs from the respective PKC conditions with avalanche size s normalized by the number of recordings sites N using α = −1.89 (obtained for close to power law ASDs, Fig. 2H) for rescaling to a common axis. Individual networks were typically recorded twice in the course of development after 18 DIV. B, Networks were assigned into the three categories representing low (<33.3rd percentile), moderate, and high (>66.7th percentile) Q_func. PKC⁻ networks were mostly part of the low Q_func group with convex ASDs, whereas PKC⁺ networks dominated in the high Q_func group with concave ASDs. PKC^N networks contributed most to the moderate Q_func group with ASDs close to a power law but also constituted large fractions in the other groups. ASD line color refers to PKC conditions in A. Blue lines show the respective Q_func group averages. C, Reducing the virtual MEA size by successively removing perimeter electrodes did not fundamentally change ASDs.