A first analysis of requirements for the storage of simulation experiments performed on computational neuroscience models using the Simulation Experiment Description Markup-Language (SED-ML).

本研究项目的目标是扩展一种语言，用于在计算神经科学模型上进行的模拟实验的标准化描述。在过去的一年里，我一直致力于计算系统生物学中模拟实验的存储和交换格式，称为模拟实验描述标记语言（SED-ML）。在反应网络模型领域，这种格式是众所周知的，并得到了不同团体的支持。然而，本研究项目的目标是将SED-ML扩展到其他领域。其中一个领域是计算神经科学；对SED-ML的兴趣已经导致了与INCF成员的第一次思想交流。下一步是找出SED-ML在神经科学模拟中的不足，并实现其增强版本。在UMB的Prof. Plesser小组进行研究期间，我将学习神经科学模型及其仿真。我也将有机会讨论标准化工作。Plesser小组提供了自己的模拟器，称为NEST，它将用于测试建议的SED-ML语言扩展。

The goal of this research project is the extension of a language for the standardised description of simulation experiments performed on computational neuroscience models. I have, over the last year, worked on a format for the storage and exchange of simulation experiments in computational systems biology, called Simulation Experiment Description Markup-Language (SED-ML). The format is well-known and supported by different groups in the area of reaction network models.However, the goal of this research project is the expansion of SED-ML on other areas. One such area is computational neuroscience; the interest in SED-ML already led to first exchange of ideas with members of the INCF. The next step is to identify the short-comings of SED-ML for neuroscience simulation and to implement an enhanced version of it.During the research stay in the group of Prof. Plesser at the UMB, I will study neuroscience models and their simulation. I will also have the opportunity to discuss standardisation efforts. The Plesser group provides its own simulator, called NEST, which will be used to test the suggested extensions to the SED-ML language.