{"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/simple-connectome-inference-from-partial","title":"Simple connectome inference from partial correlation statistics in calcium imaging","arxiv_id":"1406.7865","date":"2014-06-30","proceeding":null,"authors":["Antonio Sutera","Arnaud Joly","Vincent François-Lavet","Zixiao Aaron Qiu","Gilles Louppe","Damien Ernst","Pierre Geurts"],"abstract":"In this work, we propose a simple yet effective solution to the problem of\nconnectome inference in calcium imaging data. The proposed algorithm consists\nof two steps. First, processing the raw signals to detect neural peak\nactivities. Second, inferring the degree of association between neurons from\npartial correlation statistics. This paper summarises the methodology that led\nus to win the Connectomics Challenge, proposes a simplified version of our\nmethod, and finally compares our results with respect to other inference\nmethods.","url_abs":"http://arxiv.org/abs/1406.7865v4","url_pdf":"http://arxiv.org/pdf/1406.7865v4.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":"simple-connectome-inference-from-partial","repo_url":"https://github.com/asutera/kaggle-connectomics","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}