Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks
Figure 16
Comparison of cluster number relationship to calcium time constant in theory and numerical simulations in Traub model.
Minimal value at which
clusters appear in the Traub network. We fit data gathered from numerical simulations (black stars) to two different power functions using a least square method (see Methods). Notice, the least squares fit to
(grey solid) is much better than the fit to a linear function
(dashed black). Predictions of cluster scaling (
) derived for our idealized model (1) carry over with impressive accuracy to simulations of a detailed biophysical model. Connectivity parameters are
,
,
,
(see Methods for other parameters).