Emergence of Slow-Switching Assemblies in Structured Neuronal Networks
Fig 6
Effect of large clustering strength on SSA activity.
A Large values of the clustering REE lead to linear instability of the SSA dynamics and localization of the activity on one assembly. As measured by the spike rate variability across time (), the increase of REE leads to SSA (signalled by the increased value of ). If the clustering increases further, decreases, as the dynamics becomes dominated by one assembly only. (dots: raw data from simulations; line: mean; shading: standard deviation). Inset: examples of raster plots for three data points in the three regimes. The analysis corresponds to a clustered LIF network of 1000 neurons. B Plot of the eigenvalue with the largest real component λmax against the clustering strength REE. The linear condition λmax > 1 is a good indicator of the dynamics becoming dominated by one cell assembly.