{"id":45585,"date":"2023-10-07T18:49:51","date_gmt":"2023-10-07T10:49:51","guid":{"rendered":"https:\/\/swarma.org\/?p=45585"},"modified":"2023-10-07T18:49:51","modified_gmt":"2023-10-07T10:49:51","slug":"prl%e9%80%9f%e9%80%92%ef%bc%9a%e9%9a%8f%e6%9c%ba%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e4%b8%ad%e7%9a%84%e6%b4%bb%e5%8a%a8%e7%bb%b4%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=45585","title":{"rendered":"PRL\u901f\u9012\uff1a\u968f\u673a\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u6d3b\u52a8\u7ef4\u5ea6"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1a\u8111\u7f51\u7edc\uff0c\u795e\u7ecf\u7f51\u7edc\u6d3b\u52a8\uff0c\u6df7\u6c8c\u7cfb\u7edf\uff0c\u975e\u7ebf\u6027\u52a8\u529b\u5b66\uff0c\u52a8\u529b\u5b66\u5e73\u5747\u573a\u8bba<\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/section>\n
<\/span>Dimension of Activity in Random Neural Networks<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1a<\/span><\/section>\n
https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.131.118401<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u795e\u7ecf\u7f51\u7edc\u662f\u9ad8\u7ef4\u975e\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\uff0c\u901a\u8fc7\u8bb8\u591a\u8fde\u63a5\u5355\u5143\u7684\u534f\u8c03\u6d3b\u52a8\u6765\u5904\u7406\u4fe1\u606f\u3002\u8981\u7406\u89e3\u751f\u7269\u548c\u673a\u5668\u5b66\u4e60\u7f51\u7edc\u5982\u4f55\u884c\u4f7f\u529f\u80fd\u548c\u5b66\u4e60\uff0c\u9700\u8981\u4e86\u89e3\u8fd9\u79cd\u534f\u8c03\u6d3b\u52a8\u7684\u7ed3\u6784\uff0c\u4f8b\u5982\u5355\u5143\u4e4b\u95f4\u7684\u4ea4\u53c9\u534f\u65b9\u5dee\u4e2d\u6240\u5305\u542b\u7684\u4fe1\u606f\u3002<\/span><\/section>\n

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\u81ea\u6d3d\u52a8\u529b\u5b66\u5e73\u5747\u573a\u8bba<\/span>\uff08Self-consistent dynamical mean field theory\uff0cDMFT\uff09<\/span>\u5df2\u7ecf\u9610\u660e\u4e86\u968f\u673a\u795e\u7ecf\u7f51\u7edc\u7684\u4e00\u4e9b\u7279\u5f81\uff0c\u7279\u522b\u662f\u5b83\u4eec\u53ef\u4ee5\u4ea7\u751f\u6df7\u6c8c\u6d3b\u52a8\uff0c\u7136\u800c\uff0c\u4f7f\u7528\u8fd9\u79cd\u65b9\u6cd5\u8ba1\u7b97\u4ea4\u53c9\u534f\u65b9\u5dee\u5c1a\u672a\u5b9e\u73b0\u3002<\/span><\/section>\n

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\u8fd9\u9879\u7814\u7a76\u901a\u8fc7\u53cc\u4f4d\u70b9\u7a7a\u8154\u52a8\u529b\u5b66\u5e73\u5747\u573a\u8bba<\/span>\uff08two-site cavity DMFT\uff09<\/span>\u65b9\u6cd5\u81ea\u6d3d\u5730\u8ba1\u7b97\u4ea4\u53c9\u534f\u65b9\u5dee\u3002\u7814\u7a76\u8005\u5229\u7528\u8fd9\u4e2a\u7406\u8bba\u6765\u63a2\u8ba8\u4e00\u4e2a\u5177\u6709\u72ec\u7acb\u540c\u5206\u5e03\uff08i.i.d.\uff09\u8026\u5408\u7684\u7ecf\u5178\u968f\u673a\u7f51\u7edc\u6a21\u578b\u4e2d\u7684\u6d3b\u52a8\u534f\u8c03\u7684\u65f6\u7a7a\u7279\u5f81\u3002\u8be5\u65b9\u6cd5\u9002\u7528\u4e8e\u5e7f\u6cdb\u7684\u5355\u4e2a\u5355\u5143\u52a8\u529b\u5b66\uff0c\u5e76\u53ef\u63a8\u5e7f\u5230\u975e\u72ec\u7acb\u540c\u5206\u5e03\u8026\u5408\u3002\u4f5c\u4e3a\u540e\u8005\u7684\u4e00\u4e2a\u793a\u4f8b\uff0c\u7814\u7a76\u4e2d\u5206\u6790\u4e86\u90e8\u5206\u5bf9\u79f0\u8026\u5408\u7684\u60c5\u51b5\u3002<\/span><\/section>\n

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\u56fe1. \u53cc\u4f4d\u70b9\u7a7a\u8154\u52a8\u529b\u5b66\u5e73\u5747\u573a\u8bba\uff08two-site cavity DMFT\uff09\u6982\u89c8\u3002\u4e24\u4e2a\u8f85\u52a9\u5355\u5143\uff08auxiliary units\uff09\u7684\u4f4d\u70b9\uff08\u79f0\u4e3a\u7a7a\u8154\u5355\u5143\uff09\u521b\u9020\u4e86\u4e00\u4e2a\u7a7a\u8154\uff0c\u4e0e\u6b64\u540c\u65f6\uff0c\u7f51\u7edc\u7684\u5176\u4f59\u90e8\u5206\uff08\u50a8\u5907\u6c60\uff0creservoir\uff09\u4ea7\u751f\u6df7\u6c8c\u6d3b\u52a8\u3002\u7136\u540e\u5f15\u5165\u7a7a\u8154\u5355\u5143\uff0c\u5b83\u4eec\u4f1a\u5bf9\u50a8\u5907\u6c60\u4ea7\u751f\u6270\u52a8\u3002\u7a7a\u8154\u5355\u5143\u7684\u52a8\u529b\u5b66\u65b9\u7a0b\u4ea7\u751f\u4e00\u5bf9\u6270\u52a8\u8026\u5408\u5e73\u5747\u573a\u65b9\u7a0b\uff0c\u8868\u793a\u4e00\u5bf9\u5355\u5143\u3002\u6ce8\u610f\u5230\u7a7a\u8154\u5bf9\u5728\u7edf\u8ba1\u4e0a\u7b49\u4ef7\u4e8e\u4efb\u4f55\u50a8\u5907\u6c60\u5bf9\uff0c\u53ef\u4ee5\u6784\u9020\u81ea\u6d3d\u6761\u4ef6\u3002<\/span><\/p>\n


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\u96c6\u667a\u6591\u56fe\u9876\u520a\u8bba\u6587\u901f\u9012\u680f\u76ee\u4e0a\u7ebf\u4ee5\u6765\uff0c\u6301\u7eed\u6536\u5f55\u6765\u81eaNature\u3001Science<\/span>\u7b49\u9876\u520a\u7684\u6700\u65b0\u8bba\u6587\uff0c\u8ffd\u8e2a\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\u3002\u73b0\u5728\u6b63\u5f0f\u63a8\u51fa\u8ba2\u9605\u529f\u80fd\uff0c\u6bcf\u5468\u901a\u8fc7\u5fae\u4fe1\u670d\u52a1\u53f7\u300c\u6211\u7684\u96c6\u667a\u300d\u63a8\u9001\u8bba\u6587\u4fe1\u606f\u3002\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u5373\u53ef\u4e00\u952e\u8ba2\u9605\uff1a<\/span>
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

\u200d<\/span>1. <\/strong>\u8111\u7f51\u7edc\u901a\u4fe1\u7efc\u8ff0\uff1a\u6982\u5ff5\u3001\u6a21\u578b\u548c\u5e94\u7528<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> PNAS \u901f\u9012\uff1a\u57fa\u4e8e\u8111\u542f\u53d1\u7684\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u795e\u7ecf\u56de\u8def\u6f14\u5316<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>Nat.Neurosci.\u901f\u9012\uff1a\u529f\u80fd\u8111\u7f51\u7edc\u663e\u793a\u7a7a\u95f4\u548c\u65f6\u95f4\u81ea\u76f8\u5173\u6027<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
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4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5. <\/strong><\/strong>\u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/a><\/span><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n

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\u5173\u952e\u8bcd\uff1a\u8111\u7f51\u7edc\uff0c\u795e\u7ecf\u7f51\u7edc\u6d3b\u52a8\uff0c\u6df7\u6c8c\u7cfb\u7edf\uff0c\u975e\u7ebf\u6027\u52a8\u529b\u5b66\uff0c\u52a8\u529b\u5b66\u5e73\u5747\u573a\u8bba \u8bba\u6587\u9898\u76ee\uff1a Dimension of Activity in Random Neural Networks \u8bba\u6587\u5730\u5740\uff1a https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLe…<\/p>\n","protected":false},"author":0,"featured_media":45581,"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\/45585"}],"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=45585"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/45585\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/45581"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=45585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=45585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=45585"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=45585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}