Peterson B E, Healy M D, Nadkarni P M, Miller P L, Shepherd G M
Yale University School of Medicine, New Haven, CT, USA.
J Am Med Inform Assoc. 1996 Nov-Dec;3(6):389-98. doi: 10.1136/jamia.1996.97084512.
Research groups within the Human Brain Project are developing technologies to help organize and make accessible the vast quantities of information being accumulated in the neurosciences. The goal of this work is to provide systems that enable this complex information from many diverse sources to be synthesized into a coherent theory of nervous system function. Our initial approach to this problem has been to create several small databases. While addressing the issues of each individual database, we are also considering how each might be incorporated into an integrated cluster of databases. In this paper, we describe a pilot project in which we construct a database of computational models of neuronal function. This database allows models to be created and run and their results reviewed through a World Wide Web interface. Because models encapsulate knowledge in a formal manner about how neuronal systems function, we also discuss how this database forms a natural center for our initial attempts at creating a cluster of related databases. General issues of database development in the context of the Web are also discussed.
人类大脑计划中的研究团队正在开发技术，以帮助整理并提供对神经科学领域不断积累的海量信息的访问。这项工作的目标是提供系统，使来自众多不同来源的这些复杂信息能够被综合成一个关于神经系统功能的连贯理论。我们针对这个问题的初步方法是创建几个小型数据库。在处理每个单独数据库的问题时，我们也在考虑如何将每个数据库纳入一个集成的数据库集群。在本文中，我们描述了一个试点项目，在该项目中我们构建了一个神经元功能计算模型数据库。这个数据库允许创建和运行模型，并通过万维网界面查看其结果。由于模型以正式的方式封装了关于神经元系统如何运作的知识，我们还讨论了这个数据库如何成为我们创建相关数据库集群初步尝试的自然核心。同时也讨论了网络环境下数据库开发的一般问题。
