Automated synaptic connectivity inference for volume electron microscopy

Sven Dorkenwald,Philipp J Schubert,Marius F Killinger,Gregor Urban,Shawn Mikula,Fabian Svara,Joergen Kornfeld

NATURE METHODS（2017）

引用 103|浏览24

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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.

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关键词

Computational neuroscience,Cellular neuroscience,Model vertebrates,Scanning electron microscopy,Software

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