Figure 1.

Interrelationship of the basic elements for modeling and simulation. In order to be able to apply the terminology, introduced by Schlesinger et al. (1979) for modeling and simulation processes (A), to numerical models for neural network simulations, a less generic terminology is more expedient. We propose the terminology shown in (B) which we have adapted slightly from Thacker et al. (2004). While Thacker et al. (2004) uses the terms reality of interest, conceptual model, and computerized model, we prefer the terms system of interest, mathematical model, and executable model as they better express the underlying intent. The model distinguishes between modeling and simulation activities (black solid arrows), and assessment activities (red dashed arrows).