Emergence of Slow-Switching Assemblies in Structured Neuronal Networks
Fig 9
Small-world networks can exhibit SSA activity.
A Small-world network and the resulting raster plot of its LIF network simulation. SSA activity is observed, yet with less distinct boundaries when compared to the clustered case. B Spectrum of the weight matrix of the small-world network showing a small eigenvalue gap. C The principal angle between the dominant subspace spanned by principal components of the firing rates and the dominant Schur vectors of the weight matrix shows that, as the modularity of the small-world rewiring becomes larger, there is alignment between the observed dynamics and the slow directions of the weight matrix (dots: raw data from simulations; line: mean; shading: standard deviation).