This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for empirical data in mathematical models, implement them in software, and perform simulations reflecting experiments. This path is demonstrated with respect to four key aspects of synaptic signaling: the connectivity of brain networks, synaptic transmission, synaptic plasticity, and the heterogeneity across synapses. Each step and aspect of the modeling and simulation workflow comes with its own challenges and pitfalls, which are highlighted and addressed in detail.
翻译:本章从计算神经科学的角度阐明了大脑的合成组织,介绍了如何在数学模型中核算实验数据,如何在软件中应用这些数据,如何进行模拟反映实验,该路径在合成信号的四个关键方面得到证明:大脑网络的连接、合成传播、合成塑料和突触之间的异质性。模型和模拟工作流程的每个步骤和方面都有其自身的挑战和缺陷,对此加以强调和详细处理。