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).

使用模拟实验描述标记语言 (SED-ML) 对计算神经科学模型上执行的模拟实验的存储要求进行首次分析。

• 批准号: 209722183
• 负责人: Professorin Dr. Dagmar Waltemath
• 金额: --
• 依托单位: Dept. of Mathematical Sciences and Technology
• 依托单位国家: 德国
• 项目类别: Research Fellowships
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2011-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/209722183?language=en
• 关键词: first; analysis; requirements; storage; simulation

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.

这个研究项目的目标是扩展一种语言，用于对计算神经科学模型进行模拟实验的标准化描述。在过去的一年里，我一直在研究一种用于存储和交换计算系统生物学中模拟实验的格式，称为模拟实验描述标记语言（SED-ML）。 该格式在反应网络模型领域是众所周知的，并得到不同团体的支持。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。下一步是确定SED-ML用于神经科学模拟的短版本，并实现其增强版本。在UMB的Plesser教授小组的研究期间，我将研究神经科学模型及其模拟。我还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SED-ML语言的建议扩展。