Figure 9.

(a) Boxplots of $C^{\mu \nu }$ for different values of $a_p$, with $f=0.05$ fixed. (b) Boxplots of $C^{\mu \nu }$ for different values of f with $a_p=0.4$ fixed. The parameters $a_p$ and f play different roles in generating the correlations. Increasing the extent $a_p$ of the input they receive from each parent increases the overall similarity of those children having shared parents, as evidenced by the increasing skewness of the distributions. In contrast, increasing the prolificity f, leads to an increase in the mean number of shared parents, such that all children are more correlated, as shown by the shift in the overall distribution. The black horizontal line corresponds to the average correlation with uncorrelated patterns distributed according to Equation (1). Other parameters are $a=0.3$, $S=5$ and $\Pi =150$.