{"id":318645,"date":"2021-02-25T14:01:45","date_gmt":"2021-02-25T19:01:45","guid":{"rendered":"https:\/\/news.harvard.edu\/gazette\/?p=318645"},"modified":"2023-11-08T20:07:24","modified_gmt":"2023-11-09T01:07:24","slug":"tech-breakthrough-combines-motion-capture-and-neural-learning","status":"publish","type":"post","link":"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/","title":{"rendered":"CAPTURE-ing movement in freely behaving animals"},"content":{"rendered":"<header\n\tclass=\"wp-block-harvard-gazette-article-header alignfull article-header is-style-full-width-text-below centered-image\"\n\tstyle=\" \"\n>\n\t<figure class=\"wp-block-image\"><img fetchpriority=\"high\" decoding=\"async\" alt=\"An artist\u2019s interpretation of CAPTURE.\" height=\"1667\" loading=\"eager\" src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig71.jpg\" width=\"2500\"\/><figcaption class=\"wp-element-caption\"><p class=\"wp-element-caption--caption\">An artist\u2019s interpretation of CAPTURE.<\/p><p class=\"wp-element-caption--credit\">All images courtesy of K.J. Herrera, J.D. Marshall, B.P. Olveczky<\/p><\/figcaption><\/figure>\n\n\t<div class=\"article-header__content\">\n\t\t\t<a\n\t\t\tclass=\"article-header__category\"\n\t\t\thref=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\"\n\t\t>\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t<h1 class=\"article-header__title wp-block-heading \">\n\t\tCAPTURE-ing movement in freely behaving animals\t<\/h1>\n\n\t\n\t\t\t<\/div>\n\t\t\n\t<div class=\"article-header__meta\">\n\t\t<div class=\"wp-block-post-author\">\n\t\t\t<address class=\"wp-block-post-author__content\">\n\t\t\t\t\t<p class=\"author wp-block-post-author__name\">\n\t\tJuan Siliezar\t<\/p>\n\t\t\t<p class=\"wp-block-post-author__byline\">\n\t\t\tHarvard Staff Writer\t\t<\/p>\n\t\t\t\t\t<\/address>\n\t\t<\/div>\n\n\t\t<time class=\"article-header__date\" datetime=\"2021-02-25\">\n\t\t\tFebruary 25, 2021\t\t<\/time>\n\n\t\t<span class=\"article-header__reading-time\">\n\t\t\t5 min read\t\t<\/span>\n\t<\/div>\n\n\t\n\t\t\t<h2 class=\"article-header__subheading wp-block-heading\">\n\t\t\tNew behavioral-monitoring system combines motion capture, deep learning\t\t<\/h2>\n\t\t\n<\/header>\n\n\n\n<div class=\"wp-block-group alignwide has-global-padding is-content-justification-center is-layout-constrained wp-block-group-is-layout-constrained\">\n\n\n\t\t<p>Scientists studying the movement of animals have longed for a motion-capture method similar to the one Hollywood animators use to create spectacular big-screen villains (think Thanos in \u201cThe Avengers\u201d).<\/p>\n<p>Now a team of Harvard-led scientists has made a breakthrough, assembling a new system combining motion capture and deep learning to continuously track the 3D movements of freely behaving animals. The project, which monitors how the brain controls behavior, has the potential to help combat human disease or advance the creation of artificial intelligence.<\/p>\n<p>The system, called continuous appendicular and postural tracking using retroreflector embedding \u2014 CAPTURE, for short \u2014 delivers what\u2019s believed to be an unprecedented look at how animals move and behave naturally. This can one day lead to new understandings of how the brain functions.<\/p>\n<p>\u201cIt\u2019s really a technique that will end up informing a lot of neuroscience, psychology, drug discovery, [and disciplines] where questions of behavioral characterization and phenotyping are important,\u201d said <a href=\"https:\/\/oeb.harvard.edu\/people\/bence-p-olveczky\">Bence \u00d6lveczky<\/a>, a professor in the Harvard <a href=\"https:\/\/oeb.harvard.edu\/\">Department of Organismic and Evolutionary Biology<\/a>.<\/p>\n<p>Up to now, no technology has captured intricate details of an animal\u2019s natural behavior for extended periods of time. Recording precise animal movements during simple tasks, like pressing a lever, is possible, but because of the limited range of movements and behaviors scientists have been able to explore, it isn\u2019t clear if the insights gained can lead to a general understanding of brain function.<\/p>\n<p>CAPTURE starts the push beyond those limitations. It uses a series of custom markers that are attached to an animal, like tiny earrings, to track the position of the animal\u2019s whole body nonstop with a 12-camera array. This lets them digitally reconstruct the animal\u2019s skeletal pose and measure its normal movements for weeks at a time. With that data, the scientists can then develop new algorithms to create a foundational map of an animal\u2019s normal behaviors. These behavioral maps can then be compared with maps when the animal is in an altered state, giving researchers an exact look at even some of the most subtle differences.<\/p>\n<p>CAPTURE is described in a study recently <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2020.11.016\">published<\/a> in Neuron. Harvard postdoctoral fellow <a href=\"https:\/\/olveczkylab.oeb.harvard.edu\/people\/jesse-marshal\">Jesse Marshall<\/a> led the project. Working with him and \u00d6lveczky were William Wang \u201920 and Diego E. Aldarondo, a student at the <a href=\"https:\/\/gsas.harvard.edu\/\">Graduate School of Arts and Sciences<\/a>. Right now, CAPTURE has been designed to work only on rats, but the team plans to expand to other animals in the future.<\/p>\n\r\n<figure class=\"wp-block-group wp-block-table alignwide is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"2500\" height=\"1542\" src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg 2500w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=150,93 150w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=300,185 300w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=768,474 768w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=1024,632 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=1536,947 1536w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=2048,1263 2048w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=52,32 52w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=104,64 104w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=1488,918 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg?resize=1680,1036 1680w\" sizes=\"auto, (max-width: 2500px) 100vw, 2500px\" \/><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"2500\" height=\"1826\" src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg 2500w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=150,110 150w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=300,219 300w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=768,561 768w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=1024,748 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=1536,1122 1536w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=2048,1496 2048w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=44,32 44w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=88,64 88w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=1488,1087 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg?resize=1680,1227 1680w\" sizes=\"auto, (max-width: 2500px) 100vw, 2500px\" \/><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\n<figcaption class=\"wp-block-group wp-element-caption is-layout-flow wp-block-group-is-layout-flow\"><p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p><\/figcaption><\/figure>\r\n\n<p>\u201cThe large camera array works the way you would track actors for making Gollum [in the \u2018Lord of the Rings\u2019] or other types of animation,\u201d Marshall said. \u201cWe use it to precisely measure the position of their head and limbs and then there\u2019s a lot of analysis on top of that that enables the detection of behaviors and the isolation of other components [like behavioral organization].\u201d<\/p>\n<p>Marshall spent months researching the constraints and advantages of existing movement technologies before settling on motion capture. He then spent six months figuring out what type of marker would stay attached for long periods of time.<\/p>\n<p>\u201cTraditional markers from Hollywood are made of foam, and that wasn\u2019t going to fly with rats,\u201d Marshall said.<\/p>\n<p>Working with local veterinarians, the team designed custom body piercings made of specialized reflective glass and attached them to 20 locations on the rats\u2019 bodies. With the markers in place, they let the rats explore a naturalistic area and tracked their movements using the cameras 24\/7 for weeks.<\/p>\n<p>The researchers mapped out natural behaviors such as grooming, rearing, and walking and showed how those movements are organized into structured patterns, like the arrangement of words into sentences.<\/p>\n<p>The team then looked at how those behaviors and patterns changed in response to two stimulants, caffeine and amphetamine. As expected, both drugs caused the rats to move around more, but they did so in different ways. Caffeine amped them up, but they explored their cage normally. Amphetamine, on the other hand, shifted their behavior in novel ways and made them quite disturbed, Marshall said. They ran around in repeated, sequential patterns.<\/p>\n\r\n<div class=\"wp-block-harvard-gazette-supporting-content alignleft supporting-content\" id=\"supporting-content-cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d\">\n\t<div class=\"featured-articles is-post-type-post is-style-grid-list\"  style=\"\">\n\t\t\t\t\t\t<h2 class=\"featured-articles__title wp-block-heading\">More like this<\/h2>\n\t\t\t\t<ul class=\"featured-articles__list \">\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Rendering of lab animals moving.\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2018\/08\/an-open-source-ai-tool-available-to-study-movement-across-behaviors-and-species\/\">Movement monitor<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2018-08-30\">\n\t\t\t\t\t\t\tAugust 30, 2018\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t4 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Two Late Devonian early tetrapods illustration.\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2020\/11\/reconstructing-vertebrates-rise-from-the-water-to-land\/\">From fins to limbs and water to land<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2020-11-25\">\n\t\t\t\t\t\t\tNovember 25, 2020\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t5 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\n\t<\/div>\r\n\n<p>When the team studied rats with a form of autism, the data showed another surprise.<\/p>\n<p>The scientists saw the rats perform abnormal grooming patterns that hadn\u2019t been described before. Grooming pattern alterations could be an important indicator used to model repetitive movements observed in people with autism, but they traditionally have been difficult to measure. The scientists say detecting these types of subtle and precise behavioral deficits are important in getting a better handle on many diseases and could be one of the prime uses of CAPTURE.<\/p>\n<p>Other efforts to expand CAPTURE include combining their data with recordings of neural activity to map the relationship between brain signals and behavior across the full set of natural movements a rat performs. They are also working with Google DeepMind to use CAPTURE to help model how the brain produces behavior, and potentially to make new advances in artificial intelligence.<\/p>\n<p>\u201cWe\u2019re only going to go deeper,\u201d Marshall said.<\/p>\n<p><em>This research was supported with funding from the Helen Hay Whitney Foundation, the National Institutes of Health<\/em><em>, the National Science Foundation, and the Segal Family Foundation.<\/em><\/p>\n\n\n<\/div>\n\n\t\t","protected":false},"excerpt":{"rendered":"<p>Harvard researchers develop a new motion-tracking system that delivers an unprecedented look at how animals move and behave naturally.<\/p>\n","protected":false},"author":131912115,"featured_media":319221,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"gz_ga_pageviews":13,"gz_ga_lastupdated":"2022-01-26 09:21","document_color_palette":"crimson","author":"Juan Siliezar","affiliation":"Harvard Staff Writer","_category_override":"","_yoast_wpseo_primary_category":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1387],"tags":[5124,5475,5547,47723,47722,12941,13050,14825,39015,47720,41823,47719,25450,47724,47721],"gazette-formats":[],"series":[],"class_list":["post-318645","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science-technology","tag-autism","tag-behavior","tag-bence-olveczky","tag-capture","tag-diego-e-aldarondo","tag-faculty-of-arts-and-sciences","tag-fas","tag-graduate-school-of-arts-and-sciences","tag-harvard-department-of-organismic-and-evolutionary-biology","tag-jesse-marshall","tag-juan-siliezar","tag-motion-capture","tag-neuroscience","tag-phenotyping","tag-william-wang"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.0 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Tech breakthrough combines motion capture and neural learning &#8212; Harvard Gazette<\/title>\n<meta name=\"description\" content=\"Harvard researchers develop a new motion-tracking system that delivers an unprecedented look at how animals move and behave naturally.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tech breakthrough combines motion capture and neural learning\" \/>\n<meta property=\"og:description\" content=\"Harvard researchers develop a new motion-tracking system that delivers an unprecedented look at how animals move and behave naturally.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Harvard Gazette\" \/>\n<meta property=\"article:published_time\" content=\"2021-02-25T19:01:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T01:07:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig71.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2500\" \/>\n\t<meta property=\"og:image:height\" content=\"1667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Lian Parsons\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Tech breakthrough combines motion capture and neural learning\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/\"},\"author\":{\"name\":\"Lian Parsons\",\"@id\":\"https:\/\/news.harvard.edu\/gazette\/#\/schema\/person\/eb0a6f335aa1df1db33a426d73586ba4\"},\"headline\":\"CAPTURE-ing movement in freely behaving animals\",\"datePublished\":\"2021-02-25T19:01:45+00:00\",\"dateModified\":\"2023-11-09T01:07:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/\"},\"wordCount\":928,\"publisher\":{\"@id\":\"https:\/\/news.harvard.edu\/gazette\/#organization\"},\"image\":{\"@id\":\"https:\/\/news.harvard.edu\/gazette\/story\/2021\/02\/tech-breakthrough-combines-motion-capture-and-neural-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/01\/capturemotion_fig71.jpg\",\"keywords\":[\"Autism\",\"Behavior\",\"Bence \u00d6lveczky\",\"CAPTURE\",\"Diego E. 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Herrera, J.D. Marshall, B.P. Olveczky<\/p><\/figcaption><\/figure>\n","innerContent":["<figure class=\"wp-block-image\"><img alt=\"An artist\u2019s interpretation of CAPTURE.\" height=\"1667\" loading=\"eager\" src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig71.jpg\" width=\"2500\"\/><figcaption class=\"wp-element-caption\"><p class=\"wp-element-caption--caption\">An artist\u2019s interpretation of CAPTURE.<\/p><p class=\"wp-element-caption--credit\">All images courtesy of K.J. Herrera, J.D. Marshall, B.P. Olveczky<\/p><\/figcaption><\/figure>\n"],"rendered":"<header\n\tclass=\"wp-block-harvard-gazette-article-header alignfull article-header is-style-full-width-text-below centered-image\"\n\tstyle=\" \"\n>\n\t<figure class=\"wp-block-image\"><img alt=\"An artist\u2019s interpretation of CAPTURE.\" height=\"1667\" loading=\"eager\" src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig71.jpg\" width=\"2500\"\/><figcaption class=\"wp-element-caption\"><p class=\"wp-element-caption--caption\">An artist\u2019s interpretation of CAPTURE.<\/p><p class=\"wp-element-caption--credit\">All images courtesy of K.J. Herrera, J.D. Marshall, B.P. Olveczky<\/p><\/figcaption><\/figure>\n\n\t<div class=\"article-header__content\">\n\t\t\t<a\n\t\t\tclass=\"article-header__category\"\n\t\t\thref=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\"\n\t\t>\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t<h1 class=\"article-header__title wp-block-heading \">\n\t\tCAPTURE-ing movement in freely behaving animals\t<\/h1>\n\n\t\n\t\t\t<\/div>\n\t\t\n\t<div class=\"article-header__meta\">\n\t\t<div class=\"wp-block-post-author\">\n\t\t\t<address class=\"wp-block-post-author__content\">\n\t\t\t\t\t<p class=\"author wp-block-post-author__name\">\n\t\tJuan Siliezar\t<\/p>\n\t\t\t<p class=\"wp-block-post-author__byline\">\n\t\t\tHarvard Staff Writer\t\t<\/p>\n\t\t\t\t\t<\/address>\n\t\t<\/div>\n\n\t\t<time class=\"article-header__date\" datetime=\"2021-02-25\">\n\t\t\tFebruary 25, 2021\t\t<\/time>\n\n\t\t<span class=\"article-header__reading-time\">\n\t\t\t5 min read\t\t<\/span>\n\t<\/div>\n\n\t\n\t\t\t<h2 class=\"article-header__subheading wp-block-heading\">\n\t\t\tNew behavioral-monitoring system combines motion capture, deep learning\t\t<\/h2>\n\t\t\n<\/header>\n"},"2":{"blockName":"core\/group","attrs":{"templateLock":false,"metadata":{"name":"Article content"},"align":"wide","layout":{"type":"constrained","justifyContent":"center"},"tagName":"div","lock":[],"className":"","style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","ariaLabel":"","anchor":""},"innerBlocks":[{"blockName":"core\/freeform","attrs":{"content":"","lock":[],"metadata":[]},"innerBlocks":[],"innerHTML":"\n\t\t<p>Scientists studying the movement of animals have longed for a motion-capture method similar to the one Hollywood animators use to create spectacular big-screen villains (think Thanos in \u201cThe Avengers\u201d).<\/p>\n<p>Now a team of Harvard-led scientists has made a breakthrough, assembling a new system combining motion capture and deep learning to continuously track the 3D movements of freely behaving animals. The project, which monitors how the brain controls behavior, has the potential to help combat human disease or advance the creation of artificial intelligence.<\/p>\n<p>The system, called continuous appendicular and postural tracking using retroreflector embedding \u2014 CAPTURE, for short \u2014 delivers what\u2019s believed to be an unprecedented look at how animals move and behave naturally. This can one day lead to new understandings of how the brain functions.<\/p>\n<p>\u201cIt\u2019s really a technique that will end up informing a lot of neuroscience, psychology, drug discovery, [and disciplines] where questions of behavioral characterization and phenotyping are important,\u201d said <a href=\"https:\/\/oeb.harvard.edu\/people\/bence-p-olveczky\">Bence \u00d6lveczky<\/a>, a professor in the Harvard <a href=\"https:\/\/oeb.harvard.edu\/\">Department of Organismic and Evolutionary Biology<\/a>.<\/p>\n<p>Up to now, no technology has captured intricate details of an animal\u2019s natural behavior for extended periods of time. Recording precise animal movements during simple tasks, like pressing a lever, is possible, but because of the limited range of movements and behaviors scientists have been able to explore, it isn\u2019t clear if the insights gained can lead to a general understanding of brain function.<\/p>\n<p>CAPTURE starts the push beyond those limitations. It uses a series of custom markers that are attached to an animal, like tiny earrings, to track the position of the animal\u2019s whole body nonstop with a 12-camera array. This lets them digitally reconstruct the animal\u2019s skeletal pose and measure its normal movements for weeks at a time. With that data, the scientists can then develop new algorithms to create a foundational map of an animal\u2019s normal behaviors. These behavioral maps can then be compared with maps when the animal is in an altered state, giving researchers an exact look at even some of the most subtle differences.<\/p>\n<p>CAPTURE is described in a study recently <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2020.11.016\">published<\/a> in Neuron. Harvard postdoctoral fellow <a href=\"https:\/\/olveczkylab.oeb.harvard.edu\/people\/jesse-marshal\">Jesse Marshall<\/a> led the project. Working with him and \u00d6lveczky were William Wang \u201920 and Diego E. Aldarondo, a student at the <a href=\"https:\/\/gsas.harvard.edu\/\">Graduate School of Arts and Sciences<\/a>. Right now, CAPTURE has been designed to work only on rats, but the team plans to expand to other animals in the future.<\/p>\n","innerContent":["\n\t\t<p>Scientists studying the movement of animals have longed for a motion-capture method similar to the one Hollywood animators use to create spectacular big-screen villains (think Thanos in \u201cThe Avengers\u201d).<\/p>\n<p>Now a team of Harvard-led scientists has made a breakthrough, assembling a new system combining motion capture and deep learning to continuously track the 3D movements of freely behaving animals. The project, which monitors how the brain controls behavior, has the potential to help combat human disease or advance the creation of artificial intelligence.<\/p>\n<p>The system, called continuous appendicular and postural tracking using retroreflector embedding \u2014 CAPTURE, for short \u2014 delivers what\u2019s believed to be an unprecedented look at how animals move and behave naturally. This can one day lead to new understandings of how the brain functions.<\/p>\n<p>\u201cIt\u2019s really a technique that will end up informing a lot of neuroscience, psychology, drug discovery, [and disciplines] where questions of behavioral characterization and phenotyping are important,\u201d said <a href=\"https:\/\/oeb.harvard.edu\/people\/bence-p-olveczky\">Bence \u00d6lveczky<\/a>, a professor in the Harvard <a href=\"https:\/\/oeb.harvard.edu\/\">Department of Organismic and Evolutionary Biology<\/a>.<\/p>\n<p>Up to now, no technology has captured intricate details of an animal\u2019s natural behavior for extended periods of time. Recording precise animal movements during simple tasks, like pressing a lever, is possible, but because of the limited range of movements and behaviors scientists have been able to explore, it isn\u2019t clear if the insights gained can lead to a general understanding of brain function.<\/p>\n<p>CAPTURE starts the push beyond those limitations. It uses a series of custom markers that are attached to an animal, like tiny earrings, to track the position of the animal\u2019s whole body nonstop with a 12-camera array. This lets them digitally reconstruct the animal\u2019s skeletal pose and measure its normal movements for weeks at a time. With that data, the scientists can then develop new algorithms to create a foundational map of an animal\u2019s normal behaviors. These behavioral maps can then be compared with maps when the animal is in an altered state, giving researchers an exact look at even some of the most subtle differences.<\/p>\n<p>CAPTURE is described in a study recently <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2020.11.016\">published<\/a> in Neuron. Harvard postdoctoral fellow <a href=\"https:\/\/olveczkylab.oeb.harvard.edu\/people\/jesse-marshal\">Jesse Marshall<\/a> led the project. Working with him and \u00d6lveczky were William Wang \u201920 and Diego E. Aldarondo, a student at the <a href=\"https:\/\/gsas.harvard.edu\/\">Graduate School of Arts and Sciences<\/a>. Right now, CAPTURE has been designed to work only on rats, but the team plans to expand to other animals in the future.<\/p>\n"],"rendered":"\n\t\t<p>Scientists studying the movement of animals have longed for a motion-capture method similar to the one Hollywood animators use to create spectacular big-screen villains (think Thanos in \u201cThe Avengers\u201d).<\/p>\n<p>Now a team of Harvard-led scientists has made a breakthrough, assembling a new system combining motion capture and deep learning to continuously track the 3D movements of freely behaving animals. The project, which monitors how the brain controls behavior, has the potential to help combat human disease or advance the creation of artificial intelligence.<\/p>\n<p>The system, called continuous appendicular and postural tracking using retroreflector embedding \u2014 CAPTURE, for short \u2014 delivers what\u2019s believed to be an unprecedented look at how animals move and behave naturally. This can one day lead to new understandings of how the brain functions.<\/p>\n<p>\u201cIt\u2019s really a technique that will end up informing a lot of neuroscience, psychology, drug discovery, [and disciplines] where questions of behavioral characterization and phenotyping are important,\u201d said <a href=\"https:\/\/oeb.harvard.edu\/people\/bence-p-olveczky\">Bence \u00d6lveczky<\/a>, a professor in the Harvard <a href=\"https:\/\/oeb.harvard.edu\/\">Department of Organismic and Evolutionary Biology<\/a>.<\/p>\n<p>Up to now, no technology has captured intricate details of an animal\u2019s natural behavior for extended periods of time. Recording precise animal movements during simple tasks, like pressing a lever, is possible, but because of the limited range of movements and behaviors scientists have been able to explore, it isn\u2019t clear if the insights gained can lead to a general understanding of brain function.<\/p>\n<p>CAPTURE starts the push beyond those limitations. It uses a series of custom markers that are attached to an animal, like tiny earrings, to track the position of the animal\u2019s whole body nonstop with a 12-camera array. This lets them digitally reconstruct the animal\u2019s skeletal pose and measure its normal movements for weeks at a time. With that data, the scientists can then develop new algorithms to create a foundational map of an animal\u2019s normal behaviors. These behavioral maps can then be compared with maps when the animal is in an altered state, giving researchers an exact look at even some of the most subtle differences.<\/p>\n<p>CAPTURE is described in a study recently <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2020.11.016\">published<\/a> in Neuron. Harvard postdoctoral fellow <a href=\"https:\/\/olveczkylab.oeb.harvard.edu\/people\/jesse-marshal\">Jesse Marshall<\/a> led the project. Working with him and \u00d6lveczky were William Wang \u201920 and Diego E. Aldarondo, a student at the <a href=\"https:\/\/gsas.harvard.edu\/\">Graduate School of Arts and Sciences<\/a>. Right now, CAPTURE has been designed to work only on rats, but the team plans to expand to other animals in the future.<\/p>\n"},{"blockName":"core\/group","attrs":{"tagName":"figure","align":"wide","className":"wp-block-table","templateLock":null,"lock":[],"metadata":[],"style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","layout":[],"ariaLabel":"","anchor":""},"innerBlocks":[{"blockName":"core\/columns","attrs":{"verticalAlignment":"bottom","isStackedOnMobile":true,"templateLock":null,"lock":[],"metadata":[],"align":"","className":"","style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","layout":[],"anchor":""},"innerBlocks":[{"blockName":"core\/column","attrs":{"verticalAlignment":"bottom","width":"","templateLock":null,"lock":[],"metadata":[],"className":"","style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","layout":[],"anchor":""},"innerBlocks":[{"blockName":"core\/image","attrs":{"sizeSlug":"full","align":"none","id":319218,"blob":"","url":"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg","alt":"Artists rendering of movement.","caption":null,"lightbox":[],"title":"","href":"","rel":"","linkClass":"","width":"","height":"","aspectRatio":"","scale":"","linkDestination":"","linkTarget":"","lock":[],"metadata":[],"className":"","style":[],"borderColor":"","anchor":""},"innerBlocks":[],"innerHTML":"\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t","innerContent":["\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t"],"rendered":"\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t"}],"innerHTML":"\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom\">\n\t\t\t\t\n\t\r\n\t\t\t<\/div>\n\t\t\t","innerContent":["\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom\">\n\t\t\t\t","\n\t\r\n\t\t\t<\/div>\n\t\t\t"],"rendered":"\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t"},{"blockName":"core\/column","attrs":{"verticalAlignment":"bottom","width":"","templateLock":null,"lock":[],"metadata":[],"className":"","style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","layout":[],"anchor":""},"innerBlocks":[{"blockName":"core\/image","attrs":{"sizeSlug":"full","align":"none","id":319220,"blob":"","url":"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg","alt":"Photograph of the CAPTURE recording arena.","caption":null,"lightbox":[],"title":"","href":"","rel":"","linkClass":"","width":"","height":"","aspectRatio":"","scale":"","linkDestination":"","linkTarget":"","lock":[],"metadata":[],"className":"","style":[],"borderColor":"","anchor":""},"innerBlocks":[],"innerHTML":"\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t","innerContent":["\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t"],"rendered":"\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t"}],"innerHTML":"\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom\">\n\t\t\t\t\n\t\r\n\t\t\t<\/div>\n\t\t\t","innerContent":["\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom\">\n\t\t\t\t","\n\t\r\n\t\t\t<\/div>\n\t\t\t"],"rendered":"\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t"}],"innerHTML":"\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster\">\n\t\t\t\t\n\t\t\t\t\t\n\t\t<\/div>\n","innerContent":["\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster\">\n\t\t\t\t","\n\t\t\t\t\t","\n\t\t<\/div>\n"],"rendered":"\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n"},{"blockName":"core\/group","attrs":{"tagName":"figcaption","className":"wp-element-caption","templateLock":null,"lock":[],"metadata":[],"align":"","style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","layout":[],"ariaLabel":"","anchor":""},"innerBlocks":[{"blockName":"core\/paragraph","attrs":{"className":"wp-element-caption--caption","align":"","content":"Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. ","dropCap":false,"placeholder":"","direction":"","lock":[],"metadata":[],"style":[],"backgroundColor":"","textColor":"","gradient":"","fontSize":"","fontFamily":"","borderColor":"","anchor":""},"innerBlocks":[],"innerHTML":"<p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p>","innerContent":["<p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p>"],"rendered":"<p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p>"}],"innerHTML":"<figcaption class=\"wp-block-group wp-element-caption\"><\/figcaption>","innerContent":["<figcaption class=\"wp-block-group wp-element-caption\">","<\/figcaption>"],"rendered":"<figcaption class=\"wp-block-group wp-element-caption is-layout-flow wp-block-group-is-layout-flow\"><p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p><\/figcaption>"}],"innerHTML":"<figure class=\"wp-block-group wp-block-table alignwide\">\n<\/figure>","innerContent":["<figure class=\"wp-block-group wp-block-table alignwide\">","\n","<\/figure>"],"rendered":"<figure class=\"wp-block-group wp-block-table alignwide is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\n<figcaption class=\"wp-block-group wp-element-caption is-layout-flow wp-block-group-is-layout-flow\"><p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p><\/figcaption><\/figure>"},{"blockName":"core\/freeform","attrs":{"content":"","lock":[],"metadata":[]},"innerBlocks":[],"innerHTML":"\n<p>\u201cThe large camera array works the way you would track actors for making Gollum [in the \u2018Lord of the Rings\u2019] or other types of animation,\u201d Marshall said. \u201cWe use it to precisely measure the position of their head and limbs and then there\u2019s a lot of analysis on top of that that enables the detection of behaviors and the isolation of other components [like behavioral organization].\u201d<\/p>\n<p>Marshall spent months researching the constraints and advantages of existing movement technologies before settling on motion capture. He then spent six months figuring out what type of marker would stay attached for long periods of time.<\/p>\n<p>\u201cTraditional markers from Hollywood are made of foam, and that wasn\u2019t going to fly with rats,\u201d Marshall said.<\/p>\n<p>Working with local veterinarians, the team designed custom body piercings made of specialized reflective glass and attached them to 20 locations on the rats\u2019 bodies. With the markers in place, they let the rats explore a naturalistic area and tracked their movements using the cameras 24\/7 for weeks.<\/p>\n<p>The researchers mapped out natural behaviors such as grooming, rearing, and walking and showed how those movements are organized into structured patterns, like the arrangement of words into sentences.<\/p>\n<p>The team then looked at how those behaviors and patterns changed in response to two stimulants, caffeine and amphetamine. As expected, both drugs caused the rats to move around more, but they did so in different ways. Caffeine amped them up, but they explored their cage normally. Amphetamine, on the other hand, shifted their behavior in novel ways and made them quite disturbed, Marshall said. They ran around in repeated, sequential patterns.<\/p>\n","innerContent":["\n<p>\u201cThe large camera array works the way you would track actors for making Gollum [in the \u2018Lord of the Rings\u2019] or other types of animation,\u201d Marshall said. \u201cWe use it to precisely measure the position of their head and limbs and then there\u2019s a lot of analysis on top of that that enables the detection of behaviors and the isolation of other components [like behavioral organization].\u201d<\/p>\n<p>Marshall spent months researching the constraints and advantages of existing movement technologies before settling on motion capture. He then spent six months figuring out what type of marker would stay attached for long periods of time.<\/p>\n<p>\u201cTraditional markers from Hollywood are made of foam, and that wasn\u2019t going to fly with rats,\u201d Marshall said.<\/p>\n<p>Working with local veterinarians, the team designed custom body piercings made of specialized reflective glass and attached them to 20 locations on the rats\u2019 bodies. With the markers in place, they let the rats explore a naturalistic area and tracked their movements using the cameras 24\/7 for weeks.<\/p>\n<p>The researchers mapped out natural behaviors such as grooming, rearing, and walking and showed how those movements are organized into structured patterns, like the arrangement of words into sentences.<\/p>\n<p>The team then looked at how those behaviors and patterns changed in response to two stimulants, caffeine and amphetamine. As expected, both drugs caused the rats to move around more, but they did so in different ways. Caffeine amped them up, but they explored their cage normally. Amphetamine, on the other hand, shifted their behavior in novel ways and made them quite disturbed, Marshall said. They ran around in repeated, sequential patterns.<\/p>\n"],"rendered":"\n<p>\u201cThe large camera array works the way you would track actors for making Gollum [in the \u2018Lord of the Rings\u2019] or other types of animation,\u201d Marshall said. \u201cWe use it to precisely measure the position of their head and limbs and then there\u2019s a lot of analysis on top of that that enables the detection of behaviors and the isolation of other components [like behavioral organization].\u201d<\/p>\n<p>Marshall spent months researching the constraints and advantages of existing movement technologies before settling on motion capture. He then spent six months figuring out what type of marker would stay attached for long periods of time.<\/p>\n<p>\u201cTraditional markers from Hollywood are made of foam, and that wasn\u2019t going to fly with rats,\u201d Marshall said.<\/p>\n<p>Working with local veterinarians, the team designed custom body piercings made of specialized reflective glass and attached them to 20 locations on the rats\u2019 bodies. With the markers in place, they let the rats explore a naturalistic area and tracked their movements using the cameras 24\/7 for weeks.<\/p>\n<p>The researchers mapped out natural behaviors such as grooming, rearing, and walking and showed how those movements are organized into structured patterns, like the arrangement of words into sentences.<\/p>\n<p>The team then looked at how those behaviors and patterns changed in response to two stimulants, caffeine and amphetamine. As expected, both drugs caused the rats to move around more, but they did so in different ways. Caffeine amped them up, but they explored their cage normally. Amphetamine, on the other hand, shifted their behavior in novel ways and made them quite disturbed, Marshall said. They ran around in repeated, sequential patterns.<\/p>\n"},{"blockName":"harvard-gazette\/supporting-content","attrs":{"id":"cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d","align":"left","allowedBlocks":[],"style":[],"lock":[],"metadata":[],"className":""},"innerBlocks":[{"blockName":"harvard-gazette\/featured-articles","attrs":{"autoGenerate":false,"className":"is-style-grid-list","inPostContent":true,"numberOfPosts":2,"postIds":[249509,315568],"showExcerpt":false,"title":"More like this","category":"","carouselOnDesktop":false,"isEditor":false,"linkText":"See all book reviews","passPostIds":false,"postOverrides":[],"postTypeOverride":"post","receivePostIds":false,"series":"","showCategory":true,"showDate":true,"gridColumns":2,"showDropShadow":false,"showFormat":true,"showImage":true,"showImageZoom":false,"showSeries":true,"showReadMore":true,"showReadTime":true,"tags":[],"useCurrentTerm":false,"lock":[],"metadata":[],"align":"","style":[]},"innerBlocks":[],"innerHTML":"","innerContent":[],"rendered":"\n\t<div class=\"featured-articles is-post-type-post is-style-grid-list\"  style=\"\">\n\t\t\t\t\t\t<h2 class=\"featured-articles__title wp-block-heading\">More like this<\/h2>\n\t\t\t\t<ul class=\"featured-articles__list \">\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Rendering of lab animals moving.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2018\/08\/an-open-source-ai-tool-available-to-study-movement-across-behaviors-and-species\/\">Movement monitor<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2018-08-30\">\n\t\t\t\t\t\t\tAugust 30, 2018\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t4 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Two Late Devonian early tetrapods illustration.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2020\/11\/reconstructing-vertebrates-rise-from-the-water-to-land\/\">From fins to limbs and water to land<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2020-11-25\">\n\t\t\t\t\t\t\tNovember 25, 2020\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t5 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\n\t"}],"innerHTML":"<div class=\"wp-block-harvard-gazette-supporting-content alignleft supporting-content\" id=\"supporting-content-cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d\"><\/div>","innerContent":["<div class=\"wp-block-harvard-gazette-supporting-content alignleft supporting-content\" id=\"supporting-content-cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d\">","<\/div>"],"rendered":"<div class=\"wp-block-harvard-gazette-supporting-content alignleft supporting-content\" id=\"supporting-content-cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d\">\n\t<div class=\"featured-articles is-post-type-post is-style-grid-list\"  style=\"\">\n\t\t\t\t\t\t<h2 class=\"featured-articles__title wp-block-heading\">More like this<\/h2>\n\t\t\t\t<ul class=\"featured-articles__list \">\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Rendering of lab animals moving.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2018\/08\/an-open-source-ai-tool-available-to-study-movement-across-behaviors-and-species\/\">Movement monitor<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2018-08-30\">\n\t\t\t\t\t\t\tAugust 30, 2018\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t4 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Two Late Devonian early tetrapods illustration.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2020\/11\/reconstructing-vertebrates-rise-from-the-water-to-land\/\">From fins to limbs and water to land<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2020-11-25\">\n\t\t\t\t\t\t\tNovember 25, 2020\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t5 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\n\t<\/div>"},{"blockName":"core\/freeform","attrs":{"content":"","lock":[],"metadata":[]},"innerBlocks":[],"innerHTML":"\n<p>When the team studied rats with a form of autism, the data showed another surprise.<\/p>\n<p>The scientists saw the rats perform abnormal grooming patterns that hadn\u2019t been described before. Grooming pattern alterations could be an important indicator used to model repetitive movements observed in people with autism, but they traditionally have been difficult to measure. The scientists say detecting these types of subtle and precise behavioral deficits are important in getting a better handle on many diseases and could be one of the prime uses of CAPTURE.<\/p>\n<p>Other efforts to expand CAPTURE include combining their data with recordings of neural activity to map the relationship between brain signals and behavior across the full set of natural movements a rat performs. They are also working with Google DeepMind to use CAPTURE to help model how the brain produces behavior, and potentially to make new advances in artificial intelligence.<\/p>\n<p>\u201cWe\u2019re only going to go deeper,\u201d Marshall said.<\/p>\n<p><em>This research was supported with funding from the Helen Hay Whitney Foundation, the National Institutes of Health<\/em><em>, the National Science Foundation, and the Segal Family Foundation.<\/em><\/p>\n","innerContent":["\n<p>When the team studied rats with a form of autism, the data showed another surprise.<\/p>\n<p>The scientists saw the rats perform abnormal grooming patterns that hadn\u2019t been described before. Grooming pattern alterations could be an important indicator used to model repetitive movements observed in people with autism, but they traditionally have been difficult to measure. The scientists say detecting these types of subtle and precise behavioral deficits are important in getting a better handle on many diseases and could be one of the prime uses of CAPTURE.<\/p>\n<p>Other efforts to expand CAPTURE include combining their data with recordings of neural activity to map the relationship between brain signals and behavior across the full set of natural movements a rat performs. They are also working with Google DeepMind to use CAPTURE to help model how the brain produces behavior, and potentially to make new advances in artificial intelligence.<\/p>\n<p>\u201cWe\u2019re only going to go deeper,\u201d Marshall said.<\/p>\n<p><em>This research was supported with funding from the Helen Hay Whitney Foundation, the National Institutes of Health<\/em><em>, the National Science Foundation, and the Segal Family Foundation.<\/em><\/p>\n"],"rendered":"\n<p>When the team studied rats with a form of autism, the data showed another surprise.<\/p>\n<p>The scientists saw the rats perform abnormal grooming patterns that hadn\u2019t been described before. Grooming pattern alterations could be an important indicator used to model repetitive movements observed in people with autism, but they traditionally have been difficult to measure. The scientists say detecting these types of subtle and precise behavioral deficits are important in getting a better handle on many diseases and could be one of the prime uses of CAPTURE.<\/p>\n<p>Other efforts to expand CAPTURE include combining their data with recordings of neural activity to map the relationship between brain signals and behavior across the full set of natural movements a rat performs. They are also working with Google DeepMind to use CAPTURE to help model how the brain produces behavior, and potentially to make new advances in artificial intelligence.<\/p>\n<p>\u201cWe\u2019re only going to go deeper,\u201d Marshall said.<\/p>\n<p><em>This research was supported with funding from the Helen Hay Whitney Foundation, the National Institutes of Health<\/em><em>, the National Science Foundation, and the Segal Family Foundation.<\/em><\/p>\n"}],"innerHTML":"\n<div class=\"wp-block-group alignwide\">\n\n\r\n\r\n\r\n\r\n\n\n<\/div>\n","innerContent":["\n<div class=\"wp-block-group alignwide\">\n\n","\r\n","\r\n","\r\n","\r\n","\n\n<\/div>\n"],"rendered":"\n<div class=\"wp-block-group alignwide has-global-padding is-content-justification-center is-layout-constrained wp-block-group-is-layout-constrained\">\n\n\n\t\t<p>Scientists studying the movement of animals have longed for a motion-capture method similar to the one Hollywood animators use to create spectacular big-screen villains (think Thanos in \u201cThe Avengers\u201d).<\/p>\n<p>Now a team of Harvard-led scientists has made a breakthrough, assembling a new system combining motion capture and deep learning to continuously track the 3D movements of freely behaving animals. The project, which monitors how the brain controls behavior, has the potential to help combat human disease or advance the creation of artificial intelligence.<\/p>\n<p>The system, called continuous appendicular and postural tracking using retroreflector embedding \u2014 CAPTURE, for short \u2014 delivers what\u2019s believed to be an unprecedented look at how animals move and behave naturally. This can one day lead to new understandings of how the brain functions.<\/p>\n<p>\u201cIt\u2019s really a technique that will end up informing a lot of neuroscience, psychology, drug discovery, [and disciplines] where questions of behavioral characterization and phenotyping are important,\u201d said <a href=\"https:\/\/oeb.harvard.edu\/people\/bence-p-olveczky\">Bence \u00d6lveczky<\/a>, a professor in the Harvard <a href=\"https:\/\/oeb.harvard.edu\/\">Department of Organismic and Evolutionary Biology<\/a>.<\/p>\n<p>Up to now, no technology has captured intricate details of an animal\u2019s natural behavior for extended periods of time. Recording precise animal movements during simple tasks, like pressing a lever, is possible, but because of the limited range of movements and behaviors scientists have been able to explore, it isn\u2019t clear if the insights gained can lead to a general understanding of brain function.<\/p>\n<p>CAPTURE starts the push beyond those limitations. It uses a series of custom markers that are attached to an animal, like tiny earrings, to track the position of the animal\u2019s whole body nonstop with a 12-camera array. This lets them digitally reconstruct the animal\u2019s skeletal pose and measure its normal movements for weeks at a time. With that data, the scientists can then develop new algorithms to create a foundational map of an animal\u2019s normal behaviors. These behavioral maps can then be compared with maps when the animal is in an altered state, giving researchers an exact look at even some of the most subtle differences.<\/p>\n<p>CAPTURE is described in a study recently <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2020.11.016\">published<\/a> in Neuron. Harvard postdoctoral fellow <a href=\"https:\/\/olveczkylab.oeb.harvard.edu\/people\/jesse-marshal\">Jesse Marshall<\/a> led the project. Working with him and \u00d6lveczky were William Wang \u201920 and Diego E. Aldarondo, a student at the <a href=\"https:\/\/gsas.harvard.edu\/\">Graduate School of Arts and Sciences<\/a>. Right now, CAPTURE has been designed to work only on rats, but the team plans to expand to other animals in the future.<\/p>\n\r\n<figure class=\"wp-block-group wp-block-table alignwide is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns alignwide are-vertically-aligned-bottom media-cluster is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig31.jpg\" alt=\"Artists rendering of movement.\" class=\"wp-image-319218\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\n\t\t\t<div class=\"wp-block-column is-vertically-aligned-bottom is-layout-flow wp-block-column-is-layout-flow\">\n\t\t\t\t\n\n\t<figure class=\"wp-block-image alignnone  size-full is-resized\"><img src=\"https:\/\/news.harvard.edu\/gazette\/wp-content\/uploads\/2021\/01\/capturemotion_fig21.jpg\" alt=\"Photograph of the CAPTURE recording arena.\" class=\"wp-image-319220\"><\/figure>\n\t\n\t\r\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\n<figcaption class=\"wp-block-group wp-element-caption is-layout-flow wp-block-group-is-layout-flow\"><p class=\"wp-element-caption--caption\">Researchers attached markers to the mouse and let it actively explore a large arena (top). They then used a 12-camera array to track the position of the markers (lower left) and reconstruct the animal\u2019s pose (right). A photograph of the actual CAPTURE recording arena. <\/p><\/figcaption><\/figure>\r\n\n<p>\u201cThe large camera array works the way you would track actors for making Gollum [in the \u2018Lord of the Rings\u2019] or other types of animation,\u201d Marshall said. \u201cWe use it to precisely measure the position of their head and limbs and then there\u2019s a lot of analysis on top of that that enables the detection of behaviors and the isolation of other components [like behavioral organization].\u201d<\/p>\n<p>Marshall spent months researching the constraints and advantages of existing movement technologies before settling on motion capture. He then spent six months figuring out what type of marker would stay attached for long periods of time.<\/p>\n<p>\u201cTraditional markers from Hollywood are made of foam, and that wasn\u2019t going to fly with rats,\u201d Marshall said.<\/p>\n<p>Working with local veterinarians, the team designed custom body piercings made of specialized reflective glass and attached them to 20 locations on the rats\u2019 bodies. With the markers in place, they let the rats explore a naturalistic area and tracked their movements using the cameras 24\/7 for weeks.<\/p>\n<p>The researchers mapped out natural behaviors such as grooming, rearing, and walking and showed how those movements are organized into structured patterns, like the arrangement of words into sentences.<\/p>\n<p>The team then looked at how those behaviors and patterns changed in response to two stimulants, caffeine and amphetamine. As expected, both drugs caused the rats to move around more, but they did so in different ways. Caffeine amped them up, but they explored their cage normally. Amphetamine, on the other hand, shifted their behavior in novel ways and made them quite disturbed, Marshall said. They ran around in repeated, sequential patterns.<\/p>\n\r\n<div class=\"wp-block-harvard-gazette-supporting-content alignleft supporting-content\" id=\"supporting-content-cf93ce49-7c2f-4cf4-81f1-f59ca92a4e5d\">\n\t<div class=\"featured-articles is-post-type-post is-style-grid-list\"  style=\"\">\n\t\t\t\t\t\t<h2 class=\"featured-articles__title wp-block-heading\">More like this<\/h2>\n\t\t\t\t<ul class=\"featured-articles__list \">\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Rendering of lab animals moving.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2018\/08\/mouserendering.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2018\/08\/an-open-source-ai-tool-available-to-study-movement-across-behaviors-and-species\/\">Movement monitor<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2018-08-30\">\n\t\t\t\t\t\t\tAugust 30, 2018\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t4 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\n\t\t<li class=\"featured-article \">\n\t\t\t\t\t\t<figure class=\"featured-article__image\">\n\t\t\t\t<img width=\"1200\" height=\"750\" src=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200%2C750\" class=\"attachment-large-landscape-desktop size-large-landscape-desktop\" alt=\"Two Late Devonian early tetrapods illustration.\" loading=\"lazy\" srcset=\"https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=608,380 608w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=784,490 784w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1024,640 1024w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1200,750 1200w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1488,930 1488w, https:\/\/news.harvard.edu\/wp-content\/uploads\/2020\/11\/Life-reconstruction_copyright-Davide-Bonadonna_2500.jpg?resize=1680,1050 1680w\" \/>\t\t\t\t\t\t\t<\/figure>\n\t\t\t\n\t\t\t<div class=\"featured-article__content\">\n\t\t\t\t\t\t<a class=\"featured-article__category\" href=\"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/\">\n\t\t\tScience &amp; Tech\t\t<\/a>\n\t\t\n\t\t\t\t<h3 class=\"featured-article__title wp-block-heading \"><a href=\"https:\/\/news.harvard.edu\/gazette\/story\/2020\/11\/reconstructing-vertebrates-rise-from-the-water-to-land\/\">From fins to limbs and water to land<\/a><\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"featured-article__meta\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<time class=\"featured-article__date\" datetime=\"2020-11-25\">\n\t\t\t\t\t\t\tNovember 25, 2020\t\t\t\t\t\t<\/time>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"featured-article__reading-time\">\n\t\t\t\t\t\t\t5 min read\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/li>\n\n\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\n\t<\/div>\r\n\n<p>When the team studied rats with a form of autism, the data showed another surprise.<\/p>\n<p>The scientists saw the rats perform abnormal grooming patterns that hadn\u2019t been described before. Grooming pattern alterations could be an important indicator used to model repetitive movements observed in people with autism, but they traditionally have been difficult to measure. The scientists say detecting these types of subtle and precise behavioral deficits are important in getting a better handle on many diseases and could be one of the prime uses of CAPTURE.<\/p>\n<p>Other efforts to expand CAPTURE include combining their data with recordings of neural activity to map the relationship between brain signals and behavior across the full set of natural movements a rat performs. They are also working with Google DeepMind to use CAPTURE to help model how the brain produces behavior, and potentially to make new advances in artificial intelligence.<\/p>\n<p>\u201cWe\u2019re only going to go deeper,\u201d Marshall said.<\/p>\n<p><em>This research was supported with funding from the Helen Hay Whitney Foundation, the National Institutes of Health<\/em><em>, the National Science Foundation, and the Segal Family Foundation.<\/em><\/p>\n\n\n<\/div>\n"}},"jetpack-related-posts":[{"id":329330,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2021\/07\/harvard-study-shows-that-jumping-spiders-can-identify-biological-motion\/","url_meta":{"origin":318645,"position":0},"title":"Living proof","author":"Lian Parsons","date":"July 26, 2021","format":false,"excerpt":"A study by Harvard researchers demonstrates that jumping spiders can distinguish living from nonliving objects based on their movement.","rel":"","context":"In &quot;Science &amp; Tech&quot;","block_context":{"text":"Science &amp; Tech","link":"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/"},"img":{"alt_text":"Jumping spider.","src":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/07\/Jumping-Spider-STILL-01.jpg?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/07\/Jumping-Spider-STILL-01.jpg?resize=350%2C200 1x, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/07\/Jumping-Spider-STILL-01.jpg?resize=525%2C300 1.5x, https:\/\/news.harvard.edu\/wp-content\/uploads\/2021\/07\/Jumping-Spider-STILL-01.jpg?resize=700%2C400 2x"},"classes":[]},{"id":94185,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2011\/10\/a-magic-wand-for-artists-dreams\/","url_meta":{"origin":318645,"position":1},"title":"A magic wand for artists\u2019 dreams","author":"harvardgazette","date":"October 27, 2011","format":false,"excerpt":"With an annual program administered by the Office for the Arts, Harvard undergraduates explore extraordinary opportunities for growth in their fields.","rel":"","context":"In &quot;Arts &amp; Culture&quot;","block_context":{"text":"Arts &amp; Culture","link":"https:\/\/news.harvard.edu\/gazette\/section\/arts-humanities\/"},"img":{"alt_text":"","src":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2011\/10\/artists_storycolleen_605.jpg?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2011\/10\/artists_storycolleen_605.jpg?resize=350%2C200 1x, https:\/\/news.harvard.edu\/wp-content\/uploads\/2011\/10\/artists_storycolleen_605.jpg?resize=525%2C300 1.5x"},"classes":[]},{"id":59928,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2006\/11\/key-antibody-igg-links-cells-capture-and-disposal-of-germs\/","url_meta":{"origin":318645,"position":2},"title":"Key antibody IgG links cells&#8217; capture and disposal of germs","author":"harvardgazette","date":"November 16, 2006","format":false,"excerpt":"Scientists have found a new task managed by the antibody that's the workhorse of the human immune system: Inside cells, immunoglobulin G (IgG) helps bring together the phagosomes that corral invading pathogens and the potent lysosomes that eventually kill off the germs. The research, by Axel Nohturfft at Harvard University\u2026","rel":"","context":"In &quot;Campus &amp; Community&quot;","block_context":{"text":"Campus &amp; Community","link":"https:\/\/news.harvard.edu\/gazette\/section\/campus-community\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":108457,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2012\/04\/at-his-own-speed\/","url_meta":{"origin":318645,"position":3},"title":"At his own speed","author":"harvardgazette","date":"April 24, 2012","format":false,"excerpt":"Artist David Michalek, creator of \u201cSlow Dancing,\u201d a temporary installation on the fa\u00e7ade of Widener Library, discussed the evolution of his work during a talk at Boylston Hall.","rel":"","context":"In &quot;Arts &amp; Culture&quot;","block_context":{"text":"Arts &amp; Culture","link":"https:\/\/news.harvard.edu\/gazette\/section\/arts-humanities\/"},"img":{"alt_text":"","src":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/04\/042012_slow_dancing_293_605.jpg?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/04\/042012_slow_dancing_293_605.jpg?resize=350%2C200 1x, https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/04\/042012_slow_dancing_293_605.jpg?resize=525%2C300 1.5x"},"classes":[]},{"id":123083,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2012\/11\/catch-and-release\/","url_meta":{"origin":318645,"position":4},"title":"Catch and release","author":"harvardgazette","date":"November 14, 2012","format":false,"excerpt":"Researchers designed a chip that uses a 3-D DNA network made up of long DNA strands with repetitive sequences that \u2014 like the jellyfish tentacles \u2014 can detect, bind, and capture certain molecules.","rel":"","context":"In &quot;Science &amp; Tech&quot;","block_context":{"text":"Science &amp; Tech","link":"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/"},"img":{"alt_text":"","src":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/11\/jellyfish_605crop.jpg?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/11\/jellyfish_605crop.jpg?resize=350%2C200 1x, https:\/\/news.harvard.edu\/wp-content\/uploads\/2012\/11\/jellyfish_605crop.jpg?resize=525%2C300 1.5x"},"classes":[]},{"id":59103,"url":"https:\/\/news.harvard.edu\/gazette\/story\/2005\/03\/astronomers-measure-slowest-motion-across-the-sky\/","url_meta":{"origin":318645,"position":5},"title":"Astronomers measure slowest motion across the sky","author":"harvardgazette","date":"March 3, 2005","format":false,"excerpt":"\"A snail crawling on Mars would appear to be moving across the surface more than 100 times faster than the motion we measured for this galaxy,\" said Mark Reid of the Harvard-Smithsonian Center for Astrophysics, a co-author on the paper. Reid and his colleagues used the National Science Foundation's Very\u2026","rel":"","context":"In &quot;Science &amp; Tech&quot;","block_context":{"text":"Science &amp; Tech","link":"https:\/\/news.harvard.edu\/gazette\/section\/science-technology\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/posts\/318645","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/users\/131912115"}],"replies":[{"embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/comments?post=318645"}],"version-history":[{"count":10,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/posts\/318645\/revisions"}],"predecessor-version":[{"id":321611,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/posts\/318645\/revisions\/321611"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/media\/319221"}],"wp:attachment":[{"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/media?parent=318645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/categories?post=318645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/tags?post=318645"},{"taxonomy":"format","embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/gazette-formats?post=318645"},{"taxonomy":"series","embeddable":true,"href":"https:\/\/news.harvard.edu\/gazette\/wp-json\/wp\/v2\/series?post=318645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}