de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Cellular-resolution connectomics: challenges of dense neural circuit reconstruction

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

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

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

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


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