Making sense of brain network data

被引：81

作者：

Sporns, Olaf ^{[1
]}

机构：

[1] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA

来源：

NATURE METHODS | 2013年 / 10卷 / 06期

关键词：

CONNECTIVITY; ORGANIZATION; CONNECTOME; FUTURE;

D O I：

10.1038/nmeth.2485

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

New methods for mapping synaptic connections and recording neural signals generate rich and complex data on the structure and dynamics of brain networks. Making sense of these data will require a concerted effort directed at data analysis and reduction as well as computational modeling. © 2013 Nature America, Inc. All rights reserved.

引用

页码：491 / 493

页数：3

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