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...
Main Authors: | Sumbul, Uygar, Zlateski, Aleksandar, Vishwanathan, Ashwin, Masland, Richard H., Seung, H. Sebastian |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
Frontiers Research Foundation
2015
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Online Access: | http://hdl.handle.net/1721.1/92750 https://orcid.org/0000-0001-5901-7964 |
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