Automated synaptic connectivity inference for volume electron microscopy
NATURE METHODS(2017)
摘要
SyConn is a computational framework that infers the synaptic wiring of neurons in volume electron microscopy data sets with machine learning. It has been applied to zebra finch, mouse and zebrafish neuronal tissue samples.
更多查看译文
关键词
Computational neuroscience,Cellular neuroscience,Model vertebrates,Scanning electron microscopy,Software
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要