Automated computation of arbor densities: a step toward identifying neuronal cell types

The shape and position of a neuron convey information regarding its molecular and functional identity. The identification of cell types from structure, a classic method, relies on the time-consuming step of arbor tracing. However, as genetic tools and imaging methods make data-driven approaches to n...

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Bibliographic Details
Main Authors: Sumbul, Uygar (Contributor), Zlateski, Aleksandar (Contributor), Vishwanathan, Ashwin (Contributor), Masland, Richard H. (Author), Seung, H. Sebastian (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Frontiers Research Foundation, 2015-01-07T21:47:59Z.
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