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On the validity of electric brain signal predictions based on population firing rates
Fig 9
Generating different types of correlated spiking.
A, B: Spiking activity generated by Multiple Interaction Processes (MIP; [42]) with firing rate 
and correlation coefficients 
(A) and 0.01 (B). C, D: Spiking activity generated by a recurrent network of point neurons [45] operating in the asynchronous irregular (“AI”; C) and in the slow synchronous irregular regime (“SI slow”; D). Top panels: Raster plots for 100 exemplary neurons. Bottom panels: Normalized spike-train auto- (black) and cross-covariance (gray) functions. The depicted curves represent population averaged correlations obtained from binned spike trains of an ensemble of 100 neurons, with an observation time of 15.5 s, and a binsize of 2−4 ms. See Methods for details on the spike-generation models and parameter values.
doi: https://doi.org/10.1371/journal.pcbi.1012303.g009