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Table A.1:

Population Firing Rates (Hz) for Rescaled NetPyNE Versions of the Original PDCM Model with Poisson External Input.

Population ScalingL2/3eL2/3iL4eL4iL5eL5iL6eL6i
100% 0.90 2.80 4.39 5.70 6.80 8.22 1.14 7.60
80% 0.82 (9%) 2.81 (0%) 4.45 (1%) 5.74 (1%) 7.10 (4%) 8.24 (0%) 1.17 (3%) 7.64 (1%)
60% 0.85 (6%) 2.79 (0%) 4.42 (1%) 5.74 (1%) 6.25 (8%) 8.22 (0%) 1.09 (4%) 7.57 (0%)
50% 0.75 (17%) 2.87 (3%) 4.57 (4%) 5.84 (2%) 7.35 (8%) 8.31 (1%) 1.17 (3%) 7.70 (1%)
40% 0.70 (22%) 2.95 (5%) 4.62 (5%) 5.90 (4%) 7.90 (16%) 8.35 (2%) 1.22 (7%) 7.79 (3%)
30% 0.69 (23%) 3.06 (9%) 4.71 (7%) 5.98 (5%) 8.34 (23%) 8.45 (3%) 1.18 (4%) 7.92 (4%)
20% 0.78 (13%) 2.99 (7%) 4.57 (4%) 5.97 (5%) 6.17 (9%) 8.54 (4%) 1.06 (7%) 7.80 (3%)
10% 0.75 (17%) 3.28 (17%) 4.76 (8%) 6.20 (9%) 6.55 (4%) 8.97 (9%) 1.10 (4%) 8.06 (6%)
5% 0.69 (23%) 3.88 (39%) 4.74 (8%) 6.33 (11%) 9.66 (42%) 8.83 (7%) 1.09 (4%) 8.60 (13%)
2 % 0.69 (23%) 3.8 (36%) 4.15 (5%) 5.90 (4%) 7.08 (4%) 8.70 (6%) 1.02 (11%) 7.96 (5%)
1% 0.71 (21%) 4.08 (46%) 3.71 (15%) 5.46 (4%) 8.33 (23%) 8.92 (9%) 0.93 (18%) 7.43 (2%)
NEST trial 0.86 – 4.45 – 7.59 – 1.09 –
Population ScalingL2/3eL2/3iL4eL4iL5eL5iL6eL6i
100% 0.90 2.80 4.39 5.70 6.80 8.22 1.14 7.60
80% 0.82 (9%) 2.81 (0%) 4.45 (1%) 5.74 (1%) 7.10 (4%) 8.24 (0%) 1.17 (3%) 7.64 (1%)
60% 0.85 (6%) 2.79 (0%) 4.42 (1%) 5.74 (1%) 6.25 (8%) 8.22 (0%) 1.09 (4%) 7.57 (0%)
50% 0.75 (17%) 2.87 (3%) 4.57 (4%) 5.84 (2%) 7.35 (8%) 8.31 (1%) 1.17 (3%) 7.70 (1%)
40% 0.70 (22%) 2.95 (5%) 4.62 (5%) 5.90 (4%) 7.90 (16%) 8.35 (2%) 1.22 (7%) 7.79 (3%)
30% 0.69 (23%) 3.06 (9%) 4.71 (7%) 5.98 (5%) 8.34 (23%) 8.45 (3%) 1.18 (4%) 7.92 (4%)
20% 0.78 (13%) 2.99 (7%) 4.57 (4%) 5.97 (5%) 6.17 (9%) 8.54 (4%) 1.06 (7%) 7.80 (3%)
10% 0.75 (17%) 3.28 (17%) 4.76 (8%) 6.20 (9%) 6.55 (4%) 8.97 (9%) 1.10 (4%) 8.06 (6%)
5% 0.69 (23%) 3.88 (39%) 4.74 (8%) 6.33 (11%) 9.66 (42%) 8.83 (7%) 1.09 (4%) 8.60 (13%)
2 % 0.69 (23%) 3.8 (36%) 4.15 (5%) 5.90 (4%) 7.08 (4%) 8.70 (6%) 1.02 (11%) 7.96 (5%)
1% 0.71 (21%) 4.08 (46%) 3.71 (15%) 5.46 (4%) 8.33 (23%) 8.92 (9%) 0.93 (18%) 7.43 (2%)
NEST trial 0.86 – 4.45 – 7.59 – 1.09 –

Notes: All results calculated from 60 s simulations and all neurons. Relative deviations in relation to the full-scale NetPyNE version $(|fx%-f100%|/f100%)$, are shown within parentheses and their maxima in bold. For comparison, the last row shows the mean firing rates of the NEST implementation (see Potjans & Diesmann, 2014a, for details).

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