Suppr超能文献

用于神经网络连接的在线工作台。

Online workbenches for neural network connections.

作者信息

Bota Mihail, Swanson Larry W

机构信息

University of Southern California, Los Angeles, California 90089-2520, USA.

出版信息

J Comp Neurol. 2007 Feb 10;500(5):807-14. doi: 10.1002/cne.21209.

Abstract

The nervous system is the most complex object we know of. It is a spatially distributed, functionally differentiated network formed by axonal connections between defined neuron populations and effector cells. Computer science provides exciting new tools for archiving, analyzing, synthesizing, and modeling on the Web vast amounts of frequently conflicting and incomplete qualitative and quantitative data about the organization and molecular mechanisms of neural networks. To optimize conceptual advances in systems neuroscience, it is important for the research and publishing communities to embrace three exercises: using defined nomenclatures; populating databases; and providing feedback to developers about improved design, performance, and functionality of knowledge management systems and associated visualization tools.

摘要

神经系统是我们所知的最复杂的物体。它是一个空间分布、功能分化的网络,由特定神经元群体与效应细胞之间的轴突连接形成。计算机科学为在网络上存档、分析、合成和建模大量关于神经网络组织和分子机制的经常相互冲突且不完整的定性和定量数据提供了令人兴奋的新工具。为了优化系统神经科学的概念进展,研究和出版界进行三项活动很重要:使用定义明确的术语;填充数据库;并就知识管理系统及相关可视化工具的改进设计、性能和功能向开发者提供反馈。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验