{"id":90307,"date":"2019-05-06T04:43:21","date_gmt":"2019-05-06T11:43:21","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2019\/05\/dataset-bridges-human-vision-and-machine-learning"},"modified":"2019-05-10T02:39:17","modified_gmt":"2019-05-10T09:39:17","slug":"dataset-bridges-human-vision-and-machine-learning","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2019\/05\/dataset-bridges-human-vision-and-machine-learning","title":{"rendered":"Dataset bridges human vision and machine learning"},"content":{"rendered":"<p>Neuroscience, computer vision collaborate to better understand visual information processing PITTSBURGH\u2014Neuroscientists and computer vision scientists say a new dataset of unprecedented size \u2014 comprising brain scans of four volunteers who each viewed 5,000 images \u2014 will help researchers better understand how the brain processes images. Researchers at Carnegie Mellon University and Fordham University, reporting today in the journal Scientific Data, said acquiring functional magnetic resonance imaging (fMRI) scans at this scale presented unique challenges. Each volunteer participated in 20 or more hours of MRI scanning, challenging both their perseverance and the experimenters\u2019 ability to coordinate across scanning sessions. The extreme.<\/p>\n<p><a href=\"https:\/\/bioengineer.org\/dataset-bridges-human-vision-and-machine-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\"><\/a><\/p>\n<div style=\"clear:both;\"><a href=\"https:\/\/bioengineer.org\/dataset-bridges-human-vision-and-machine-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">Read more<\/a><\/div>\n<p><a href=\"https:\/\/bioengineer.org\/dataset-bridges-human-vision-and-machine-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\"><br \/>\n<\/a><a href=\"https:\/\/bioengineer.org\/dataset-bridges-human-vision-and-machine-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neuroscience, computer vision collaborate to better understand visual information processing PITTSBURGH\u2014Neuroscientists and computer vision scientists say a new dataset of unprecedented size \u2014 comprising brain scans of four volunteers who each viewed 5,000 images \u2014 will help researchers better understand how the brain processes images. Researchers at Carnegie Mellon University and Fordham University, reporting today [\u2026]<\/p>\n","protected":false},"author":499,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,47,6],"tags":[],"class_list":["post-90307","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-neuroscience","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/90307","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\/499"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=90307"}],"version-history":[{"count":1,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/90307\/revisions"}],"predecessor-version":[{"id":90547,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/90307\/revisions\/90547"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=90307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=90307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=90307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}