Figure 11
From: Towards an efficient validation of dynamical whole-brain models
Cost function values and recommendations pertaining to the optimization algorithms for the 2Dim (A, B) and 3Dim (C, D) cases. (A, C) Boxplots illustrate the distribution of costs (normalized by the respective maxima, i.e. one value over all algorithms in the given parameter space). The considered methods are depicted on the horizontal axes together with the values of \(\Psi\)cost on the vertical axes. A few outliers for PSO (> 0.6 in 3Dim) and CMAES (> 0.6 in 2Dim) are not included in the plots. (B, D) Histograms show the relative number of recommendations obtained by a given optimization algorithm (calculated as in Fig. 6). The methods are listed on the horizontal axes. On the vertical axes, it is indicated for which fraction of subjects a particular method is recommended. The figure was created with MATLAB R2018a (www.mathworks.com).
