Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks

Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks

Neuroscientists are actively pursuing high-precision maps, or graphs consisting of networks of neurons and connecting synapses in mammalian and non-mammalian brains. Such graphs, when coupled with physiological and behavioral data, are likely to facilitate greater understanding of how circuits in th...

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Bibliographic Details
Main Authors: Elizabeth P. Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroinformatics
Subjects:
connectome
computer vision
segmentation
brain graph
evaluation
Electron Microscopy
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00074/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2018.00074/full

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