Figure 9

The exponent B affects the fit between the model and the data, and the number of groups of significant avalanches produced by the model. A, Left column shows weighting functions produced by different values of B. Right histogram shows sum of squares error between model and data distributions of groups of significant avalanches. Dashed line at 0.016 is the error between the data produced by acute cortical slices and the data produced by organotypic cultures. This value is taken as an estimate of the intrinsic error of the data itself. Weighting functions that cause the model to produce distributions of groups of significant avalanches with error less than this intrinsic error are considered to have a good fit (B ≤ 1.6). B, Again, left column shows weighting functions produced by different values of B. Right histogram shows total number of groups of significant avalanches produced by models with different values of B.