{"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-detection-in-calcium-imaging","title":"Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks","arxiv_id":"1606.07372","date":"2016-06-23","proceeding":"NeurIPS 2016 12","authors":["Noah J. Apthorpe","Alexander J. Riordan","Rob E. Aguilar","Jan Homann","Yi Gu","David W. Tank","H. Sebastian Seung"],"abstract":"Calcium imaging is an important technique for monitoring the activity of\nthousands of neurons simultaneously. As calcium imaging datasets grow in size,\nautomated detection of individual neurons is becoming important. Here we apply\na supervised learning approach to this problem and show that convolutional\nnetworks can achieve near-human accuracy and superhuman speed. Accuracy is\nsuperior to the popular PCA/ICA method based on precision and recall relative\nto ground truth annotation by a human expert. These results suggest that\nconvolutional networks are an efficient and flexible tool for the analysis of\nlarge-scale calcium imaging data.","url_abs":"http://arxiv.org/abs/1606.07372v2","url_pdf":"http://arxiv.org/pdf/1606.07372v2.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-detection-in-calcium-imaging","repo_url":"https://github.com/NoahApthorpe/ConvnetCellDetection","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"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}