Kötter R
C. & O.Vogt Brain Research Institute, and Institute of Morphological Endocrinology and Histochemistry, Heinrich-Heine-Universität, Moorenstrasse 5, D-40225 Düsseldorf, Germany.
Philos Trans R Soc Lond B Biol Sci. 2001 Aug 29;356(1412):1111-20. doi: 10.1098/rstb.2001.0902.
Faster than ever, neuroscience is generating vast amounts of data that await cross-referencing, comparison, integration and interpretation in the endeavour to unravel the mechanisms of the brain. The complex, diverse and distributed nature of these data requires the development of advanced neuroinformatics methodologies for databases and associated tools that are now beginning to emerge. This paper presents an overview of current issues in the representation, integration and analysis of neuroscience data from molecular to brain systems levels, including issues of implementation, standardization, management, quality control, copyright, confidentiality and acceptance. Particular emphasis is given to integrative neuroinformatics approaches for exploring structure-function relationships in the brain.
神经科学正以前所未有的速度生成海量数据,这些数据有待交叉引用、比较、整合和解读,以揭示大脑的机制。这些数据复杂、多样且分布广泛,需要开发先进的神经信息学方法来处理数据库及相关工具,而这些工具目前才刚刚开始出现。本文概述了从分子到脑系统层面的神经科学数据在表示、整合和分析方面的当前问题,包括实施、标准化、管理、质量控制、版权、保密性和接受度等问题。特别强调了用于探索大脑结构 - 功能关系的综合神经信息学方法。