Making sense of brain network data

被引：79
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
收藏
页码：491 / 493
页数：3
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