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Figure 5 | The Journal of Mathematical Neuroscience

Figure 5

From: Noisy network attractor models for transitions between EEG microstates

Figure 5

Structure and dynamics of the hidden-node network model. Panel (A) shows the coupling architecture of the 28-cell network consisting of the network of four nodes representing the four microstates with one hidden node for each microstate. Note that \(y_{\mathrm{{out}}}\) and \(y_{\mathrm{{in}}}\) are the same for all hidden nodes. Panel (B) shows the time series of the eight p-cells (nodes), note at most only one node is equal to 1 at any given time point. The solid lines are the trajectories of the original four \(p_{i}\) cells (as shown in Fig. 3) and the dotted lines are the trajectories of the additional nodes, colored according to the \(p_{i}\) they are attached to. Note here that when a hidden node is equal to 1 it contributes to the residence time of its neighboring node. Panel (C) shows the time series of the 20 y-cells (edges). The model was simulated using exemplar noise values of \(\eta =0.05\) on all edges

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