Figure 9
From: Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
Finite-size noise induced population spikes in recurrent networks of GIF neurons. (A) Population activity of a fully connected network of \(N=100\) neurons exhibiting irregular population spikes (microscopic simulation (A)(i), first- and second-order MF theory (A)(ii) and (A)(iii), respectively). (B) Same as (A) but with \(N=1000\). Finite-size fluctuations are not strong enough to elicit population spikes. (C) Time-averaged population activity \(\langle A^{N} \rangle _{t}\) (which depends on the frequency of population spikes) for different N. (D) Power spectral densities of the population activity for a network of 100 neurons. The same set of parameters is used in all panels and is detailed in Appendix E. Superscript (N) of \(A^{N}\) is omitted in the legends