{"id":196282,"date":"2024-09-16T23:26:08","date_gmt":"2024-09-17T04:26:08","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/09\/novel-framework-allows-for-automated-tuning-of-large-scale-neuronal-models"},"modified":"2024-09-16T23:26:08","modified_gmt":"2024-09-17T04:26:08","slug":"novel-framework-allows-for-automated-tuning-of-large-scale-neuronal-models","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/09\/novel-framework-allows-for-automated-tuning-of-large-scale-neuronal-models","title":{"rendered":"Novel framework allows for automated tuning of large-scale neuronal models"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/pVnxlmvO2RQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Developing large-scale neural network models that mimic the brain\u2019s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.<\/p>\n<p>New published research from an interdisciplinary group of researchers primarily based at Carnegie Mellon University and the University of Pittsburgh presents a novel solution to mitigate some of these challenges. The machine learning-driven framework, Spiking Network Optimization using Population Statistics (SNOPS), can quickly and accurately customize models that reproduce activity to mimic what\u2019s observed in the <a href=\"https:\/\/techxplore.com\/tags\/brain\/\" rel=\"tag\" class=\"\">brain<\/a>.<\/p>\n<p>The work is <a href=\"https:\/\/www.nature.com\/articles\/s43588-024-00688-3\" target=\"_blank\">published<\/a> in the journal Nature Computational Science.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Developing large-scale neural network models that mimic the brain\u2019s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise. New published research from an interdisciplinary group of researchers primarily based at [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47,6],"tags":[],"class_list":["post-196282","post","type-post","status-publish","format-standard","hentry","category-neuroscience","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/196282","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=196282"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/196282\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=196282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=196282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=196282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}