{"id":15170,"date":"2024-01-22T09:47:01","date_gmt":"2024-01-22T08:47:01","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&p=15170"},"modified":"2024-06-06T13:07:55","modified_gmt":"2024-06-06T11:07:55","slug":"benchmark-diseases-analysis-for-reservoir-computing","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/benchmark-diseases-analysis-for-reservoir-computing\/","title":{"rendered":"A Machine Learning Benchmark for Effective Connectivity Network Derivation"},"content":{"rendered":"\n

The project introduces a novel benchmark for assessing methods that derive effective connectivity networks from brain imaging data. By employing a classification approach and explainable machine learning models, this framework enables a rigorous comparison of different techniques, including reservoir computing and Granger causality, ultimately contributing to a deeper understanding of brain function.<\/p>\n","protected":false},"excerpt":{"rendered":"

The project introduces a novel benchmark for assessing methods that derive effective connectivity networks from brain imaging data. By employing a classification approach and explainable machine learning models, this framework enables a rigorous comparison of different techniques, including reservoir computing and Granger causality, ultimately contributing to a deeper understanding of brain function.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[15],"class_list":["post-15170","research","type-research","status-publish","hentry","research_type-research-topics","research_team-computational-neuroscience"],"yoast_head":"\nA Machine Learning Benchmark for Effective Connectivity Network Derivation - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/research\/benchmark-diseases-analysis-for-reservoir-computing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Machine Learning Benchmark for Effective Connectivity Network Derivation\" \/>\n<meta property=\"og:description\" content=\"The project introduces a novel benchmark for assessing methods that derive effective connectivity networks from brain imaging data. 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