Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks

doi:10.1371/journal.pcbi.1002281

Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks

Figure 15

Comparison of cluster number relationship to adaptation time constant in theory and numerical simulations in idealized model.

Minimal value at which clusters appear in network, a comparison of theory and numerical simulations. Solid grey lines denote theory predicted by weak coupling analysis (fit using least squares approach in Methods). A Pulsatile synapses, as predicted by singular perturbation theory (dashed grey) and weak coupling (solid grey); compared with numerical simulations (black stars). B Exponential synapses with . Other parameters are , , .

doi: https://doi.org/10.1371/journal.pcbi.1002281.g015