In addition, we generated uncorrelated Poissonian spike trains representing background

activity from distant cortical areas. The populations of morphologically reconstructed neurons received a selection of input spike trains from the laminar network and background activity based on the morphology and connectivity of each cell type. In this way each cell in the populations of reconstructed cells had on average Selleckchem Epigenetic inhibitor the same number of incoming synapses as a cell in the laminar network resulting in the same mean synaptic input (see Supplemental Information). Synapses were distributed differently across the dendritic tree of the reconstructed cells depending on the origin of the presynaptic cell type (see Supplemental Information).

This setup produced input correlations cξcξ and correlations between single cell LFP contributions cϕcϕ, that were specific for each population. The resulting Protein Tyrosine Kinase inhibitor input correlations cξcξ between total input currents and LFP correlation cϕcϕ are comparable to our previous simulations (Figure 6D, compare with Figure 4G). The L5 population produced larger LFP correlations cϕcϕ than the L3 and L4 populations even though the input correlation cξcξ was lower, in line with the above results (Figure 4G). We computed the LFP amplitude for three different populations (of the same types as before, Figure 6B) for different cortical depths. Similar to the generic scenarios for the case of uncorrelated synaptic inputs (Figure 3), both the reach and amplitude vary with cortical depth with a minimum reach R∗, and maximum amplitude σ in the soma layer of each population. Further, the level of input correlations provided by the spontaneous spiking activity of the laminar cortical network was sufficient to increase both the reach and amplitude of the LFP for the MycoClean Mycoplasma Removal Kit L3 and L5 populations as compared to the situation where the LFP contributions from different cells would have been uncorrelated ( Figures 6B and 6C, dashed lines; by setting Rc = 0; see Experimental Procedures and Equation 12). The

reach of the LFP from the L4 population was similar to the situation with uncorrelated synaptic input. In Figure 6B, we assumed that each neuron draws its inputs from the same (statistical) ensemble of presynaptic spike trains, resulting in the same input correlation in the whole population. We next calculated the LFP reach in the soma layer for the three different populations assuming that only LFP contributions from cells within a radius Rc were correlated and contributions from cells outside this region were uncorrelated (see Experimental Procedures and Equation 12). Also here we found that for the pyramidal cell populations the LFP reach was largely determined by the spatial scale of correlated activity while the LFP reach for the L4 population was largely unaffected by the spatial scale of correlations ( Figure 6E).