Figure 7
From: Noisy network attractor models for transitions between EEG microstates
Structure and dynamics of a multi-layer model. Panel (A) shows the coupling architecture of the two networks; compare layer two to Fig. 3(B). Example time series are shown for layer one nodes in panel (B) and edges in panel (C), layer two nodes in panel (D) and edges in panel (E). The noise on all edges \(\eta _{l,k}=10^{-2}\) is fixed, residence times are scaled by \(\zeta _{1} = 10^{-1}\) and \(\zeta _{2} =10^{-3}\). When \(p_{1,2}=1\) in panel (A), the dynamics on the edges in layer two are scaled by \(\zeta _{2}\) and residence times of nodes in layer two, shown in panel (D), are much longer than when \(p_{1,1}=1\)