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A simple generative model of the mouse mesoscale connectome
2016
eLife
Recent technological advances now allow for the collection of vast data sets detailing the intricate neural connectivity patterns of various organisms. Oh et al. (2014) recently published the most complete description of the mouse mesoscale connectome acquired to date. Here we give an in-depth characterization of this connectome and propose a generative network model which utilizes two elemental organizational principles: proximal attachment ‒ outgoing connections are more likely to attach to
doi:10.7554/elife.12366
pmid:26978793
pmcid:PMC4807721
fatcat:3pzqjvzibffrpp6pogxufl2ahi