A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity
Fig 6
Dependence of network behavior on the magnitude of synaptic background inputs.
(A) Maximum of the Kolmogorov-Smirnov test statistic (DKS) comparing the experimental and respective simulated distributions for the mean ISI, CV, and cross-correlation as a function of input currents into excitatory (Iex) and inhibitory (Iinh) neurons in layer 2/3. DKS values within the blackly delineated area have p values larger than 0.05 for each of the three tests. The insets show the three individual DKS values as a function of one of these input currents alone (for Iinh = 200 pA in the left and Iex = 400 pA in the lower inset, indicated by the white dotted lines). DKS values above 0.4 (green lines) correspond to significant (p = 0.05) deviations from experiments in the given distribution. The red asterisk indicates the parameter set used for the simulations presented in the previous figures. (B) Fraction of neurons emitting at least 10 spikes during a 30 sec simulation period for the same currents used in Panel A. The blackly delineated area was copied from Panel A and superimposed on the current graph. (C) Ratio of the number of spiking pyramidal cells between layers 5 and 2/3 as a function of the input current ratio into pyramidal cells in layers 2/3 and 5. Each data point represents the mean ± SEM over three different ratios of input currents into interneurons in layers 2/3 and 5 and a number of and
values.