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神经系统结构连接的基础模型,具有布线图、连接组和基本图式架构的模式。

Foundational model of structural connectivity in the nervous system with a schema for wiring diagrams, connectome, and basic plan architecture.

机构信息

Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.

出版信息

Proc Natl Acad Sci U S A. 2010 Nov 30;107(48):20610-7. doi: 10.1073/pnas.1015128107. Epub 2010 Nov 15.

Abstract

The nervous system is a biological computer integrating the body's reflex and voluntary environmental interactions (behavior) with a relatively constant internal state (homeostasis)-- promoting survival of the individual and species. The wiring diagram of the nervous system's structural connectivity provides an obligatory foundational model for understanding functional localization at molecular, cellular, systems, and behavioral organization levels. This paper provides a high-level, downwardly extendible, conceptual framework--like a compass and map--for describing and exploring in neuroinformatics systems (such as our Brain Architecture Knowledge Management System) the structural architecture of the nervous system's basic wiring diagram. For this, the Foundational Model of Connectivity's universe of discourse is the structural architecture of nervous system connectivity in all animals at all resolutions, and the model includes two key elements--a set of basic principles and an internally consistent set of concepts (defined vocabulary of standard terms)--arranged in an explicitly defined schema (set of relationships between concepts) allowing automatic inferences. In addition, rules and procedures for creating and modifying the foundational model are considered. Controlled vocabularies with broad community support typically are managed by standing committees of experts that create and refine boundary conditions, and a set of rules that are available on the Web.

摘要

神经系统是一个生物计算机,整合了身体的反射和自愿的环境相互作用(行为)与相对稳定的内部状态(内稳态)——促进个体和物种的生存。神经系统结构连接的布线图为理解分子、细胞、系统和行为组织水平的功能定位提供了一个强制性的基础模型。本文提供了一个高层次的、可向下扩展的概念框架——就像指南针和地图一样——用于在神经信息学系统(如我们的大脑架构知识管理系统)中描述和探索神经系统基本布线图的结构架构。为此,连接性基础模型的论域是所有动物在所有分辨率下的神经系统连接的结构架构,该模型包括两个关键要素——一组基本原则和一组内部一致的概念(定义标准术语的词汇)——按照显式定义的模式(概念之间的关系集)排列,允许进行自动推理。此外,还考虑了创建和修改基础模型的规则和程序。具有广泛社区支持的受控词汇表通常由专家常设委员会管理,该委员会创建和完善边界条件,并提供一套可在网络上使用的规则。

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