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MorphML: Level 1 of the NeuroML Standards for Neuronal Morphology Data and Model Specification

机译:MorphML:用于神经元形态数据和模型规范的NeuroML标准的1级

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摘要

Quantitative neuroanatomical data are important for the study of many areas of neuroscience, and the complexity of problems associated with neuronal structure requires that research from multiple groups across many disciplines be combined. However, existing neuron-tracing systems, simulation environments, and tools for the visualization and analysis of neuronal morphology data use a variety of data formats, making it difficult to exchange data in a readily usable way. The NeuroML project was initiated to address these issues, and here we describe an extensible markup language standard, MorphML, which defines a common data format for neuronal morphology data and associated metadata to facilitate data and model exchange, database creation, model publication, and data archiving. We describe the elements of the standard in detail and outline the mappings between this format and those used by a number of popular applications for reconstruction, simulation, and visualization of neuronal morphology.
机译:定量的神经解剖学数据对于神经科学的许多领域的研究都很重要,并且与神经元结构相关的问题的复杂性要求将来自多个学科的多个小组的研究相结合。但是,现有的神经元追踪系统,仿真环境以及用于对神经元形态数据进行可视化和分析的工具使用多种数据格式,从而难以以易于使用的方式交换数据。 NeuroML项目的启动是为了解决这些问题,在这里我们描述了一种可扩展的标记语言标准MorphML,该标准定义了神经元形态数据和相关元数据的通用数据格式,以促进数据和模型交换,数据库创建,模型发布和数据存档。我们将详细描述该标准的要素,并概述此格式与许多流行的应用程序在神经元形态重建,仿真和可视化中使用的格式之间的映射。

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