Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks
Figure 9
Eigenvalues associated with linear stability of incoherent state predict cluster number.
Plots show real part of eigenvalues Re at the critical noise amplitude
at which the incoherent state destabilizes. A When the adaptation time constant is varied as
, the corresponding predicted number of clusters, in the weak coupling limit, is
respectively given by (23). Synaptic time constant
. B When the synaptic time constant is varied as
, the corresponding predicted number of clusters, in the weak coupling limit, is
. Adaptation time constant
. Other parameters are
,
, and
.