Correlations demystified

被引：0
|
作者：
Latham, Peter E. [1 ]
机构：
[1] UCL, Gatsby Computat Unit, London, England
来源：
NATURE NEUROSCIENCE | 2017年 / 20卷 / 01期
关键词：
STATE;
D O I：
暂无
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
An elegant study answers a long-standing question: how do correlations arise in large, highly interconnected networks of neurons? The answer represents a major step forward in our understanding of spiking networks in the brain.
引用
收藏
页码：6 / 8
页数：3
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