Figure 7. Precision of estimated hierarchy based on hierarchical index.

A. Estimated hierarchy obtained using logit transformed SLN values as a measure of hierarchical distance. The counts of supra- and infragranular neurons are used as weights. The error bars are 95% confidence intervals estimated from the covariance matrix of the fitted model. B. Estimated hierarchy using a binary variable as an indicator of the hierarchical relation between area pairs. A logit link was also used in this case. The larger 95% confidence intervals demonstrate the loss of precision in estimating the hierarchical distance when using only binary information about connectivity.