Table 3. Dispersive and difference fits to threshold counts of myelinated fibre diameters in human corpus callosum.
conf. | ||||||
0% | 4 | 2.292 | 51.41% | |||
2% | 3.9 | 2.262 | 51.98% | |||
2% | [4] | 2.266 | 51.90% | |||
4% | 3.3 | 2.067 | 55.86% | |||
4% | [3] | 2.131 | 54.57% | |||
6% | 3 | 1.502 | 68.17% | |||
0% | 3.8, [] | 2.118 | 54.83% | |||
0% | [4], [] | 2.153 | 54.13% | |||
6% | 2.9, [] | 1.525 | 67.65% | |||
6% | [3], [] | 1.534 | 67.46% |
Data of Tab. 2 was fit with dispersive Eq. (54). Fits were repeated assuming uncertainties 0%, 2%, 4%, and 6% of the observed threshold diameters for varying from 0 to 10 in steps of 0.1. The values reported here are those of the confidence level peak, i.e., the minimum , cf. Fig. 4. Where power was not an integer at the peak, we also provide the fit with the closest integer , shown in square brackets. For comparison, we repeated this procedure with difference Eq. (55). Difference fits are indicated by a in square brackets, the value we used throughout to minimize the fraction of small diameter fibres, and , , , for tabulation. We show results for minimal and maximal diameter uncertainties, again also constrained to integer values. The fit quality of the dispersive and difference fits is basically identical, but difference fits have slightly lower and larger . Velocities are calculated here with .