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.

翻译：近些年来,神经科学取得了巨大进步,其中有一些理论基础产生于利用神经质量模型对动态系统进行的研究。由于NMM的大规模脑力动态和研究非线性系统的困难,通过代数配方采用了将状态方程式分解的局部线性方法,因为它有利于数字集成的速度和效率。为了研究大脑的时空结构和产生更复杂的动态,界定和假定了三个结构层次(圆形单位、人口和系统),其中界定了行为延迟和新的连接方式的新假设代表方式。这是一个新的时间间隔NMM,可以模拟几种类型的EEG活动,因为对动能信息的审议分为三个复杂层次。这一分析的结果为理解神经动力学提供了额外的理论基础和具体特征。