Cellular-resolution connectomics: challenges of dense neural circuit reconstruction
- 30 May 2013
- journal article
- review article
- Published by Springer Nature in Nature Methods
- Vol. 10 (6) , 501-507
Abstract
Neuronal networks are high-dimensional graphs that are packed into three-dimensional nervous tissue at extremely high density. Comprehensively mapping these networks is therefore a major challenge. Although recent developments in volume electron microscopy imaging have made data acquisition feasible for circuits comprising a few hundreds to a few thousands of neurons, data analysis is massively lagging behind. The aim of this perspective is to summarize and quantify the challenges for data analysis in cellular-resolution connectomics and describe current solutions involving online crowd-sourcing and machine-learning approaches.Keywords
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