< Back to Article

On the validity of electric brain signal predictions based on population firing rates

Fig 12

Illustration of the kernel approach applied to a rate model.

A: Stimulus induced switching dynamics of rate model described by equation (8), with Δ = 2, η = − 10, , and τ = 100ms [47]. The stimulus I(t) is a square pulse with an amplitude of 4, a delay of 1s, and a duration of 3s, resulting in switching dynamics similar to what was observed by Montbrió et al. [2015, Fig 2(a)] [46]. B: Population kernel for the “default” case (basal input) of the setup introduced in Sect 2.3 “sec:kernel_heterogeneity” (see Fig 6C). C: Transient behavior as observed in the population kernel LFP and EEG signals, calculated by convolving the population rate in panel A with the kernels in panel B. Before the convolution with the LFP/EEG kernel, the population rate is transformed from units of hertz to units of spikes/Δt, and scaled by the considered size of the presynaptic population which was in this case 10,000 [46].

doi: https://doi.org/10.1371/journal.pcbi.1012303.g012