{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/automatic-neuron-type-identification-by","title":"Automatic Neuron Type Identification by Neurite Localization in the Drosophila Medulla","arxiv_id":"1409.1892","date":"2014-09-05","proceeding":null,"authors":["Ting Zhao","Stephen M. Plaza"],"abstract":"Mapping the connectivity of neurons in the brain (i.e., connectomics) is a\nchallenging problem due to both the number of connections in even the smallest\norganisms and the nanometer resolution required to resolve them. Because of\nthis, previous connectomes contain only hundreds of neurons, such as in the\nC.elegans connectome. Recent technological advances will unlock the mysteries\nof increasingly large connectomes (or partial connectomes). However, the value\nof these maps is limited by our ability to reason with this data and understand\nany underlying motifs. To aid connectome analysis, we introduce algorithms to\ncluster similarly-shaped neurons, where 3D neuronal shapes are represented as\nskeletons. In particular, we propose a novel location-sensitive clustering\nalgorithm. We show clustering results on neurons reconstructed from the\nDrosophila medulla that show high-accuracy.","url_abs":"http://arxiv.org/abs/1409.1892v1","url_pdf":"http://arxiv.org/pdf/1409.1892v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"automatic-neuron-type-identification-by","repo_url":"https://github.com/seung-lab/kimimaro","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"GPL-3.0"}}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"type","task_name":"Vocal Bursts Type Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}