{"id":208635,"date":"2025-03-13T18:03:45","date_gmt":"2025-03-13T23:03:45","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/03\/interpretable-deep-learning-for-deconvolutional-analysis-of-neural-signals"},"modified":"2025-03-13T18:03:45","modified_gmt":"2025-03-13T23:03:45","slug":"interpretable-deep-learning-for-deconvolutional-analysis-of-neural-signals","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/03\/interpretable-deep-learning-for-deconvolutional-analysis-of-neural-signals","title":{"rendered":"Interpretable deep learning for deconvolutional analysis of neural signals"},"content":{"rendered":"<p style=\"padding-right: 20px\"><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/interpretable-deep-learning-for-deconvolutional-analysis-of-neural-signals2.jpg\"><\/a><\/p>\n<p>Recent methods applying deep learning to model neural activity often rely on \u201cblack-box\u201d approaches that lack an interpretable connection between neural activity and network parameters. Here, building on advances in interpretable AI, Tolooshams et al. propose a new method, deconvolutional unrolled neural learning (DUNL), and apply it to several datasets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recent methods applying deep learning to model neural activity often rely on \u201cblack-box\u201d approaches that lack an interpretable connection between neural activity and network parameters. Here, building on advances in interpretable AI, Tolooshams et al. propose a new method, deconvolutional unrolled neural learning (DUNL), and apply it to several datasets.<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-208635","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/208635","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=208635"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/208635\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=208635"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=208635"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=208635"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}