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Cellular-resolution connectomics: challenges of dense neural circuit reconstruction

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons39222

Helmstaedter,  Moritz
Research Group: Structure of Neocortical Circuits / Helmstaedter, MPI of Neurobiology, Max Planck Society;

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Zitation

Helmstaedter, M. (2013). Cellular-resolution connectomics: challenges of dense neural circuit reconstruction. NATURE METHODS, 10(6), 501-507. doi:10.1038/NMETH.2476.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-FB83-A
Zusammenfassung
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.