Also, bulk material properties are necessary for each material phase for heterogeneous numerical models; these properties are determined by uniaxial complex modulus tests and indirect tensile strength tests.
Second paragraph of Strongly adapting model: "If these properties (f-I curve, rheobase current and adaptation) are captured, then the model will spike with similar frequencies as the physiological cell given the same amount of synaptic input".
These mathematical equations describe the expected properties of the hypothetical mitotic control system given the assumptions behind each model, and these properties can then be compared with experimental observations to assess the reliability of the model.
UFGMs with a grain size less than 1 μm exhibits remarkable material and mechanical properties, and a computational model predicting these properties is desired in the field of materials science and engineering.
Simple models with these properties include the exponential model Y = eb+c·X, c <0, used for risk analysis in the EU [71]-[75], and the power model Y = a · X m with m <0, used by Aylor et al. [29], Arrit et al. [39], and Boehm et al. [44].
An efficient approach to model these portfolio properties with the proportion of each asset can be obtained according to mixture design of experiments.
To model these observed properties, it is possible to use one of the fractal processes, namely fractional Brownian motion (hereafter fBm), to replace the driving standard Brownian motion (see, for example, Willinger et al. [3]).
Explicit models for these properties are developed from analytical studies.
