Neuroscience has shown great progress in recent years. Several of the
theoretical bases have arisen from the examination of dynamic systems, using
Neural Mass Models (NMMs). Due to the largescale brain dynamics of NMMs and the
difficulty of studying nonlinear systems, the local linearization approach to
discretize the state equation was used via an algebraic formulation, as it
intervenes favorably in the speed and efficiency of numerical integration. To
study the spacetime organization of the brain and generate more complex
dynamics, three structural levels (cortical unit, population and system) were
defined and assumed, in which the new assumed representation for conduction
delays and new ways of connecting were defined. This is a new time-delay NMM,
which can simulate several types of EEG activities since kinetics information
was considered at three levels of complexity. Results obtained in this analysis
provide additional theoretical foundations and indicate specific
characteristics for understanding neurodynamic.Comment: 12 pages, 6 figures, 2 table