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. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: J Neurosci Methods. 2017 Oct 7;293:264–283. doi: 10.1016/j.jneumeth.2017.10.007

Table 4.

Speed-up factors attained by using the reduced-morphology models on a standard PC. The first column indicates the objective functions to which the simulation contributes (see Table 2), and the lower-case letter indicates the amplitude (‘a’ for smallest current, ‘c’ for largest) if more than one stimulus amplitudes were given. The second and third columns show the factors (mean ± SD, Nsamp = 5) by which the simulation times were shortened by the use of models with reduced morphology using 20 or 5 spatial segments per compartment, respectively, when variable time step method was used. The fourth column shows the corresponding factor (for reduced-morphology model with 5 spatial segments per compartment) when fixed time step method was used. In the reconstructed morphology (cell #2 of [26]), the default numbers of segments were used; these varied between 1 and 15 and summed up to 715. The numbers of differential equations solved were 5833 in the full model and 215 or 860 in the reduced-morphology model with 5 or 20 segments per compartment, respectively, giving theoretical speed-up-factor estimates 27.13 and 6.78. The data are grouped according to the steps to which the objective functions belong. All simulations were run with the NEURON software using a single central processing unit (CPU).

Objective 20 segments adaptive dt 5 segments adaptive dt 5 segments fixed dt
f1.1 6.9±0.5 23.8±3.7 27.7±0.7
f1.2 7.8±1.1 28.0±3.7 27.7±0.6
f1.3a 6.3±0.8 22.9±3.1 27.6±0.7
f1.3b 8.0±1.0 27.9±4.1 27.7±0.6
f1.3c 6.7±0.8 24.0±3.5 27.6±0.7
Objective 20 segments adaptive dt 5 segments adaptive dt 5 segments fixed dt
f2.1a 19.0±0.8 60.6±4.6 27.6±0.7
f2.1b 14.9±1.3 48.7±5.2 27.6±0.6
f2.1c 17.9±1.9 51.1±3.7 27.6±0.6
f2.2a 13.2±0.9 35.9±4.6 27.6±0.6
f2.2b 14.6±1.2 36.7±5.0 27.7±0.6
Objective 20 segments adaptive dt 5 segments adaptive dt 5 segments fixed dt
f3.1a 4.6±0.4 15.5±2.9 27.6±0.6
f3.1b 4.6±0.4 16.5±2.7 27.5±0.7
f3.2a 5.6±0.5 20.1±2.5 27.5±0.7
f3.2b 5.3±0.6 17.8±1.8 27.2±0.7
f3.3a 5.1±0.4 17.5±2.0 27.3±0.7
f3.3b 5.9±0.5 21.4±3.0 27.3±0.7
Objective 20 segments adaptive dt 5 segments adaptive dt 5 segments fixed dt
f4.1a 14.9±1.5 27.6±5.2 27.2±0.5
f4.1b 7.1±0.8 18.8±2.2 27.2±0.6
f4.2 9.6±1.0 18.3±1.4 27.2±0.6
f4.3 8.7±0.8 17.3±1.7 27.2±0.6
f4.4a 8.7±0.5 29.7±3.0 27.2±0.5
f4.4b 8.2±0.8 29.2±3.1 27.2±0.6
f4.4c 7.0±0.6 25.5±2.9 27.2±0.5