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- W207617830 abstract "In various ways all physiological systems are characterized by their complexity. This chapter draws attention towards the nature of this complexity in physiology. It is important to understand this complexity, since by definition any model that is created will be a simplification, an approximation of that complex reality. By understanding something of this complexity one shall be in a better position to make the simplifying assumptions that correspond to the particular model formulation that is adopted. In essence, the model that is developed needs to have taken into account both this inherent complexity that is simplified and the availability of measurement data which will be used in estimating the parameters of our model. Complexity manifests itself in a number of ways. First, in general, the greater the number of components or elements there are in a system, the greater will be its complexity. So the greater the number of neurons in a central nervous system or the larger the number of intermediate substances in a metabolic pathway, the greater will be the complexity. However, complexity is associated not only with the number of elements, but also with their interconnectivity. In the case of the central nervous system this would correspond to the number of interconnections between neurons. Feedback is another fundamental feature of all physiological systems. It is vital in terms of ensuring physiological regulation and control. It is very much an ingredient of the complexity that characterizes physiological systems." @default.
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- W207617830 date "2008-01-01" @default.
- W207617830 modified "2023-09-25" @default.
- W207617830 title "Physiological complexity and the need for models" @default.
- W207617830 doi "https://doi.org/10.1016/b978-012160240-6.50003-x" @default.
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