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Table A.3:

Irregularity of Single-Unit Spike Trains for Rescaled NetPyNE Versions of the Original PDCM Model with Poisson External Input.

Population ScalingL2/3eL2/3iL4eL4iL5eL5iL6eL6i
100% 0.938 0.916 0.891 0.873 0.847 0.809 0.924 0.819 
80% 0.934 (0.45%) 0.916 (0.06%) 0.890 (0.17%) 0.873 (0.07%) 0.842 (0.63%) 0.808 (0.15%) 0.927 (0.29%) 0.818 (0.19%) 
60% 0.934 (0.45%) 0.917 (0.04%) 0.891 (0.02%) 0.874 (0.12%) 0.858 (1.25%) 0.813 (0.48%) 0.930 (0.63%) 0.822 (0.27%) 
50% 0.934 (0.39%) 0.917 (0.06%) 0.889 (0.19%) 0.873 (0.06%) 0.838 (1.12%) 0.808 (0.24%) 0.930 (0.68%) 0.816 (0.38%) 
40% 0.937 (0.08%) 0.914 (0.31%) 0.887 (0.44%) 0.872 (0.12%) 0.828 (2.30%) 0.807 (0.36%) 0.932 (0.88%) 0.816 (0.40%) 
30% 0.931 (0.72%) 0.913 (0.37%) 0.887 (0.45%) 0.873 (0.06%) 0.822 (2.95%) 0.807 (0.32%) 0.931 (0.72%) 0.815 (0.60%) 
20% 0.936 (0.15%) 0.921 (0.50%) 0.887 (0.41%) 0.871 (0.28%) 0.858 (1.22%) 0.806 (0.41%) 0.929 (0.55%) 0.814 (0.64%) 
10% 0.937 (0.05%) 0.919 (0.31%) 0.883 (0.87%) 0.869 (0.51%) 0.853 (0.62%) 0.800 (1.23%) 0.938 (1.55%) 0.810 (1.11%) 
5% 0.926 (1.21%) 0.899 (1.90%) 0.884 (0.82%) 0.867 (0.76%) 0.797 (5.99%) 0.802 (0.97%) 0.934 (1.03%) 0.803 (1.97%) 
2% 0.935 (0.32%) 0.895 (2.34%) 0.891 (0.03%) 0.863 (1.21%) 0.837 (1.23%) 0.811 (0.15%) 0.932 (0.81%) 0.817 (0.24%) 
1% 0.929 (0.92%) 0.895 (2.30%) 0.901 (1.12%) 0.884 (1.16%) 0.823 (2.90%) 0.785 (2.98%) 0.932 (0.82%) 0.814 (0.66%) 
NetPyNE-10 trial 0.936 ± 0.146 0.916 ± 0.106 0.890 ± 0.107 0.875 ± 0.101 0.847 ± 0.107 0.809 ± 0.118 0.926 ± 0.142 0.822 ± 0.125 
Population ScalingL2/3eL2/3iL4eL4iL5eL5iL6eL6i
100% 0.938 0.916 0.891 0.873 0.847 0.809 0.924 0.819 
80% 0.934 (0.45%) 0.916 (0.06%) 0.890 (0.17%) 0.873 (0.07%) 0.842 (0.63%) 0.808 (0.15%) 0.927 (0.29%) 0.818 (0.19%) 
60% 0.934 (0.45%) 0.917 (0.04%) 0.891 (0.02%) 0.874 (0.12%) 0.858 (1.25%) 0.813 (0.48%) 0.930 (0.63%) 0.822 (0.27%) 
50% 0.934 (0.39%) 0.917 (0.06%) 0.889 (0.19%) 0.873 (0.06%) 0.838 (1.12%) 0.808 (0.24%) 0.930 (0.68%) 0.816 (0.38%) 
40% 0.937 (0.08%) 0.914 (0.31%) 0.887 (0.44%) 0.872 (0.12%) 0.828 (2.30%) 0.807 (0.36%) 0.932 (0.88%) 0.816 (0.40%) 
30% 0.931 (0.72%) 0.913 (0.37%) 0.887 (0.45%) 0.873 (0.06%) 0.822 (2.95%) 0.807 (0.32%) 0.931 (0.72%) 0.815 (0.60%) 
20% 0.936 (0.15%) 0.921 (0.50%) 0.887 (0.41%) 0.871 (0.28%) 0.858 (1.22%) 0.806 (0.41%) 0.929 (0.55%) 0.814 (0.64%) 
10% 0.937 (0.05%) 0.919 (0.31%) 0.883 (0.87%) 0.869 (0.51%) 0.853 (0.62%) 0.800 (1.23%) 0.938 (1.55%) 0.810 (1.11%) 
5% 0.926 (1.21%) 0.899 (1.90%) 0.884 (0.82%) 0.867 (0.76%) 0.797 (5.99%) 0.802 (0.97%) 0.934 (1.03%) 0.803 (1.97%) 
2% 0.935 (0.32%) 0.895 (2.34%) 0.891 (0.03%) 0.863 (1.21%) 0.837 (1.23%) 0.811 (0.15%) 0.932 (0.81%) 0.817 (0.24%) 
1% 0.929 (0.92%) 0.895 (2.30%) 0.901 (1.12%) 0.884 (1.16%) 0.823 (2.90%) 0.785 (2.98%) 0.932 (0.82%) 0.814 (0.66%) 
NetPyNE-10 trial 0.936 ± 0.146 0.916 ± 0.106 0.890 ± 0.107 0.875 ± 0.101 0.847 ± 0.107 0.809 ± 0.118 0.926 ± 0.142 0.822 ± 0.125 

Notes: All results calculated from 60-second simulations and approximately 1000 neurons per population. Relative deviations in relation to the full-scale NetPyNE version (|fx%-f100%|/f100%) are shown within parentheses and their maxima in bold.

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