Table 2. The best optimal theoretical fractional volumes and related parameters in the cortex for a particular case of “wire minimization” principle associated with wire volume minimization (γ 1 = 0).
Spine size distribution | θ | Optimal parameters | ED | MD | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
x | y | s | g | c | P | r | |||||
Exponential | 0.100 | 0.388 | 0.330 | 0.068 | 0.201 | 0.014 | 0.157 | 0.528 | 0.94 | 0.091 | 6.981 |
0.100 | 0.403 | 0.316 | 0.067 | 0.200 | 0.013 | 0.157 | 0.528 | 0.91 | 0.094 | 6.942 | |
0.321 | 0.423 | 0.371 | 0.111 | 0.085 | 0.009 | 0.935 | 0.709 | 0.96 | 0.045 | 6.485 | |
0.321 | 0.397 | 0.397 | 0.112 | 0.085 | 0.010 | 0.936 | 0.710 | 1.00 | 0.058 | 6.360 | |
Gamma (n = 1) | 0.100 | 0.376 | 0.316 | 0.081 | 0.210 | 0.017 | 0.175 | 0.684 | 0.93 | 0.104 | 7.842 |
0.100 | 0.442 | 0.259 | 0.078 | 0.206 | 0.016 | 0.175 | 0.682 | 0.80 | 0.134 | 7.427 | |
0.321 | 0.413 | 0.357 | 0.119 | 0.099 | 0.012 | 0.793 | 0.805 | 0.95 | 0.030 | 3.991 | |
0.321 | 0.396 | 0.374 | 0.119 | 0.099 | 0.012 | 0.794 | 0.806 | 0.98 | 0.037 | 3.892 | |
Gamma (n = 2) | 0.100 | 0.366 | 0.310 | 0.086 | 0.219 | 0.019 | 0.175 | 0.753 | 0.93 | 0.115 | 9.078 |
0.100 | 0.463 | 0.230 | 0.080 | 0.210 | 0.017 | 0.174 | 0.750 | 0.74 | 0.163 | 8.173 | |
0.321 | 0.406 | 0.352 | 0.121 | 0.108 | 0.013 | 0.715 | 0.846 | 0.95 | 0.026 | 2.681 | |
0.321 | 0.395 | 0.363 | 0.121 | 0.108 | 0.013 | 0.715 | 0.846 | 0.97 | 0.030 | 2.640 | |
Rayleigh | 0.100 | 0.368 | 0.305 | 0.082 | 0.226 | 0.019 | 0.159 | 0.734 | 0.92 | 0.124 | 9.623 |
0.100 | 0.471 | 0.221 | 0.076 | 0.216 | 0.016 | 0.158 | 0.731 | 0.72 | 0.177 | 8.701 | |
0.321 | 0.405 | 0.352 | 0.117 | 0.113 | 0.013 | 0.642 | 0.822 | 0.95 | 0.020 | 2.271 | |
0.321 | 0.394 | 0.362 | 0.117 | 0.113 | 0.013 | 0.642 | 0.822 | 0.97 | 0.025 | 2.236 | |
Log-logistic | 0.100 | 0.404 | 0.350 | 0.097 | 0.136 | 0.013 | 0.404 | 0.683 | 0.95 | 0.015 | 2.378 |
0.100 | 0.399 | 0.356 | 0.097 | 0.136 | 0.013 | 0.404 | 0.684 | 0.96 | 0.017 | 2.351 | |
0.321 | 0.399 | 0.348 | 0.124 | 0.114 | 0.014 | 0.671 | 0.891 | 0.95 | 0.027 | 1.803 | |
0.321 | 0.403 | 0.334 | 0.123 | 0.124 | 0.015 | 0.584 | 0.910 | 0.93 | 0.031 | 1.448 | |
Log-normal | 0.100 | 0.418 | 0.367 | 0.072 | 0.133 | 0.010 | 0.311 | 0.472 | 0.96 | 0.034 | 5.734 |
0.100 | 0.401 | 0.356 | 0.073 | 0.158 | 0.012 | 0.244 | 0.513 | 0.96 | 0.045 | 4.801 | |
0.321 | 0.411 | 0.354 | 0.106 | 0.116 | 0.012 | 0.561 | 0.731 | 0.95 | 0.010 | 2.897 | |
0.321 | 0.402 | 0.341 | 0.110 | 0.133 | 0.015 | 0.475 | 0.804 | 0.94 | 0.021 | 1.405 |
For log-logistic distribution the minimal ED and MD were obtained for the parameter β = 1.5 if θ = 0.100, and if θ = 0.321 then β = 3.5 for minimal ED and β = 4.5 for minimal MD. For log-normal distribution the minimal ED was reached for σ = 0.7 and minimal MD for σ = 0.55 if θ = 0.100, and if θ = 0.321 then σ = 0.3 for minimal ED and σ = 0.2 for minimal MD.