Using the Euler-Maruyama scheme, we simulate the trajectories of one sample path of the I-class of the model, the mean of I, taken over 1,000 sample paths and indicated as 'I (1000ave)', and the I-class trajectory 'I determ' (broken line) of the underlying deterministic model, with the parameter values as explained above.
On the other hand, solutions based on annotations are invasive, requiring the annotation of each architectural relevant class (for example, the classes of the Model layer must be annotated with a @Model annotation).
This was always possible and allowed us to use the same parametrization for all the classes of the model, with the initial and final points of the arc as free parameters.
Figure 5 shows the fit of each of the three classes of the model 5 in one individual (good, medium and poor fit, respectively).
See Fig. 1 for a class diagram of the model.
For the purpose of this article, we term this class of models the 'component model' (Fig. 1C).
Since desensitization of receptors at these locations would indeed reduce dopamine release, we further call this class of models the "desensitization model".
Thus, the fourth class of model, the Structural Time Series (STS) model, maintains the structure of the time series, which is composed of trend and, seasonal, cyclical, and irregular components, without however attempting to build a fully specified model.
