论文标题
自然密度下多种和异质突触动力学的现象学模型
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
论文作者
论文摘要
本章从计算神经科学的角度阐明了大脑的突触组织。它提供了有关如何在数学模型中说明经验数据，在软件中实现此类模型的介绍性概述，并执行反映实验的模拟。相对于突触信号传导的四个关键方面证明了这一路径：大脑网络的连通性，突触传播，突触可塑性和突触之间的异质性。建模和仿真工作流的每个步骤和方面都有其自身的挑战和陷阱，这些挑战和陷阱都得到了突出显示和解决。
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 such models 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.
