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Emergence of Slow-Switching Assemblies in Structured Neuronal Networks

Fig 4

SSA dynamics can be achieved by changing solely the synaptic strengths even when the topological connections are kept uniform.

To create clustered networks, the ratio $W_{EE}=w_{\mathrm{\text{in}}}^{EE}/w_{\mathrm{\text{out}}}^{EE}$ was varied, where $w_{\mathrm{\text{in}}}^{EE}$ and $w_{\mathrm{\text{out}}}^{EE}$ refer to the in-group and out-group synaptic weights, respectively. The spike-rate variability $\widehat{S}$ measuring the intensity of SSA dynamics is shown as a function of W_EE (left; dots: raw data from simulations; line: mean; shading: standard deviation) and the spectral gap Δλ (right). Note that the connection probability is uniform for all the simulations, i.e. R_EE = 1, and only the clustering of the weights is varied.

doi: https://doi.org/10.1371/journal.pcbi.1004196.g004