Fig. 5: Optimal small-world-ness of the networks.
From: The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks
For different combinations of \(f\) and \(\triangle t\), we determined the optimal values of small-world-ness \({\rm{SW}}\) for which ηnodes (a), ηgrid (b) and ηpeak (c) are maximum in the networks, and the corresponding maxima (d–f). For the particular case of ηgrid, we observe that optimal small-world-ness assuring the maximum efficiency in the grid oscillates around the mean value \({\rm{SW}}=4.8\pm 1\) (g). The white regions in the diagrams indicate values that are out-of-range, i.e., values of the functions that fluctuate either below or above the minimum (maximum) of the plot range identified through the color legend bar that accompany each diagram. These areas are ascribable to interpolation errors in the graphical representation of the values as smooth functions of the variables and do not affect to any extent the findings and conclusions of the study.
