{"id":41501,"date":"2023-04-03T19:16:23","date_gmt":"2023-04-03T11:16:23","guid":{"rendered":"https:\/\/swarma.org\/?p=41501"},"modified":"2023-04-03T19:16:23","modified_gmt":"2023-04-03T11:16:23","slug":"nat-comput-sci-%e9%80%9f%e9%80%92%ef%bc%9a%e4%ba%ba%e8%84%91%e7%8a%b6%e6%80%81%e8%bd%a8%e8%bf%b9%e7%9a%84%e5%a4%9a%e8%a7%86%e7%82%b9%e6%b5%81%e5%bd%a2%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41501","title":{"rendered":"Nat. Comput. Sci. \u901f\u9012\uff1a\u4eba\u8111\u72b6\u6001\u8f68\u8ff9\u7684\u591a\u89c6\u70b9\u6d41\u5f62\u5b66\u4e60"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aMulti-view manifold learning of human brain-state trajectories<\/span><\/section>\n
\u8bba\u6587\u6765\u6e90\uff1aNature Computational Science<\/em><\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s43588-023-00419-0<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u4eba\u8111\u7684\u590d\u6742\u6027\u603b\u7ed9\u4eba\u4e00\u79cd\u9519\u89c9\uff1a\u5927\u8111\u6d3b\u52a8\u672c\u8d28\u4e0a\u662f\u9ad8\u7ef4\u7684\u3002\u975e\u7ebf\u6027\u964d\u7ef4\u65b9\u6cd5\uff0c\u8bf8\u5982\u5747\u5300\u6d41\u5f62\u8fd1\u4f3c<\/span>\uff08uniform manifold approximation\uff09<\/span>\u548ct\u5206\u5e03\u968f\u673a\u8fd1\u90bb\u5d4c\u5165<\/span>\uff08t-distributed stochastic neighbor embedding\uff09<\/span>\u5df2\u88ab\u7528\u4e8e\u9ad8\u901a\u91cf\u7684\u751f\u7269\u533b\u5b66\u6570\u636e\u3002\u7136\u800c\uff0c\u5b83\u4eec\u8fd8\u6ca1\u6709\u88ab\u5e7f\u6cdb\u7528\u4e8e\u5927\u8111\u6d3b\u52a8\u6570\u636e\uff0c\u5982\u529f\u80fd\u6027\u78c1\u5171\u632f\u6210\u50cf<\/span>\uff08fMRI\uff09<\/span>\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\u5b83\u4eec\u65e0\u6cd5\u4fdd\u6301\u52a8\u6001\u7ed3\u6784<\/span>\uff08dynamic structure<\/span>\uff09\u3002<\/span><\/section>\n

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\u6700\u8fd1\u53d1\u8868\u5728 Nature Computational Science<\/em> \u7684\u8fd9\u7bc7\u6587\u7ae0\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u975e\u7ebf\u6027\u6d41\u5f62\u5b66\u4e60\u65b9\u6cd5\uff0c\u5b66\u4e60\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5305\u62ec fMRI \u90a3\u6240\u8c13\u57fa\u4e8e\u4eff\u5c04\u8dc3\u8fc1\u5d4c\u5165\u70ed\u6269\u6563\u7684\u65f6\u95f4\u52bf<\/span>\uff08temporal potential of heat-diffusion for affinity-based transition embedding\uff0cT-PHATE\uff09<\/span>\u3002\u9664\u4e86\u4ece\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u6062\u590d\u4f4e\u7ef4\u7684\u5185\u5728\u6d41\u5f62\u51e0\u4f55\u7ed3\u6784\u5916\uff0cT-PHATE \u8fd8\u80fd\u5229\u7528\u6570\u636e\u7684\u81ea\u76f8\u5173\u7ed3\u6784\u6765\u53bb\u9664\u566a\u58f0\u5e76\u63ed\u793a\u52a8\u6001\u8f68\u8ff9\u3002<\/span><\/section>\n

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\u4ed6\u4eec\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86 T-PHATE \u4e09\u4e2a\u529f\u80fd\u78c1\u5171\u632f\u6210\u50cf\u6570\u636e\u96c6\uff0c\u663e\u793a\u5b83\u5927\u5927\u63d0\u9ad8\u4e86\u6570\u636e\u7684\u53ef\u89c6\u5316\uff0c\u5206\u7c7b\u548c\u5206\u5272\u7684\u6570\u636e\u76f8\u5bf9\u4e8e\u5176\u4ed6\u51e0\u4e2a\u6700\u5148\u8fdb\u7684\u964d\u7ef4\u57fa\u51c6\u3002\u8fd9\u4e9b\u6539\u8fdb\u8868\u660e\u8bb8\u591a\u6f5c\u5728\u7684\u5e94\u7528 T-PHATE \u7684\u65f6\u95f4\u6269\u6563\u8fc7\u7a0b\u7684\u5176\u4ed6\u9ad8\u7ef4\u6570\u636e\u96c6\u3002<\/span><\/section>\n

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\u56fe1. T-PHATE \u8fc7\u7a0b<\/span><\/section>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>PRL \u901f\u9012\uff1a\u6709\u9650\u5927\u5c0f\u795e\u7ecf\u5143\u7f51\u7edc\u7684\u81ea\u6d3d\u968f\u673a\u52a8\u529b\u5b66<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> \u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\uff1a\u5206\u6790\u4e0e\u5efa\u6a21<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>PRL\u901f\u9012\uff1a\u91cd\u6574\u5316\u7406\u8bba\u63cf\u8ff0\u795e\u7ecf\u7f51\u7edc\u52a8\u529b\u5b66<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong><\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/section>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/strong><\/span><\/strong><\/section>\n

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\u5173\u952e\u8bcd\uff1a\u975e\u7ebf\u6027\u964d\u7ef4\uff0c\u9ad8\u7ef4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5904\u7406\uff0c\u795e\u7ecf\u52a8\u529b\u5b66\uff0c\u5927\u8111\u590d\u6742\u6027 \u8bba\u6587\u9898\u76ee\uff1aMulti-view manifold learning of human brain-state trajectories \u8bba\u6587\u6765\u6e90\uff1aNature Computational Science \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/ww…<\/p>\n","protected":false},"author":0,"featured_media":41495,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/41501"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=41501"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/41501\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/41495"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=41501"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=41501"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=41501"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=41501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}