Fig. 3: Effect of signal length.
From: The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks
Varying the length of the initial stimulus (Δt) in discrete intervals, we observed the efficiency of the networks (ηnodes, ηgrid, ηpeak) exhibits different sensitivities to the small-world-coefficient (a). Specifically, varying for a fixed \({\rm{SW}}=4\) \(\triangle t\) in the 24–2400 ms interval, we observe that \({\eta }^{{{\mathrm{grid}}}}\) ranges from about \(2\) at \(\triangle t=2400\,{{\mathrm{ms}}}\) to about \(12\) for \(\triangle t=72\,{{\mathrm{ms}}}\) (b). Density plots of the network enhancement factors \({\eta }^{{{\mathrm{nodes}}}}\) (c), \({\eta }^{{{\mathrm{grid}}}}\) (d), \({\eta }^{{{\mathrm{peak}}}}\) (e). In deriving the plots, we fixed the value of frequency of the originating distubance as \(f=133\,{{\mathrm{Hz}}}\).
