Table 1 Optimal parameter points, goodness-of-fit and the used computation time for the examples presented in Fig. 1.

From: Towards an efficient validation of dynamical whole-brain models

 

Optimal coupling C

Optimal delay τ

Goodness-of-fit

Invested core-h

GS2D

0.2850

0.0000

0.3779

0040.0

NMA2D

0.3323

0.8381

0.3789

0017.5

PSO2D

0.3134

0.8941

0.3814

1378.8

CMAES2D

0.3283

0.9082

0.3753

0395.9

BO2D

0.3072

0.0070

0.3873

0015.1

  1. The indicated parameter values (coupling and delay) and the goodness-of-fit pertain to the best solution (highest goodness-of-fit) found across all 15 algorithm runs for the four optimization methods (NMA2D, PSO2D, CMEAES2D, BO2D). For the grid search in 2Dim (GS2D), the best parameter constellation obtained from a single parameter space scan is shown. The invested core-hours (core-h) for GS2D and the optimization methods represent the required resources for one thorough scan and all 15 runs in total, respectively.
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