{"id":46157,"date":"2023-10-29T15:42:27","date_gmt":"2023-10-29T07:42:27","guid":{"rendered":"https:\/\/swarma.org\/?p=46157"},"modified":"2023-10-29T15:42:27","modified_gmt":"2023-10-29T07:42:27","slug":"entropy-%e5%9b%a0%e6%9e%9c%e4%b8%8e%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%e7%89%b9%e5%88%8a%ef%bc%9a%e4%bb%8e%e8%87%aa%e4%b8%8a%e8%80%8c%e4%b8%8b%e5%9b%a0%e6%9e%9c%e5%88%b0%e9%97%aa%e7%83%81%e6%b6%8c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=46157","title":{"rendered":"Entropy \u56e0\u679c\u4e0e\u590d\u6742\u7cfb\u7edf\u7279\u520a\uff1a\u4ece\u81ea\u4e0a\u800c\u4e0b\u56e0\u679c\u5230\u95ea\u70c1\u6d8c\u73b0"},"content":{"rendered":"
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\u5982\u4f55\u4ece\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\u7684\u539f\u59cb\u6570\u636e\u4e2d\u53d1\u73b0\u9519\u7efc\u590d\u6742\u7684\u56e0\u679c\u7ed3\u6784\u5e76\u8bc6\u522b\u56e0\u679c\u6d8c\u73b0\uff1f\u5982\u4f55\u5229\u7528\u56e0\u679c\u673a\u5236\u63a8\u65ad\u7cfb\u7edf\u672a\u6765\u7684\u72b6\u6001\u548c\u6f14\u5316\uff1f\u673a\u5668\u5b66\u4e60\u3001\u4e92\u4fe1\u606f\u5206\u89e3\u3001\u56e0\u679c\u63a8\u65ad\u7b49\u65b0\u5174\u6280\u672f\u5c06\u4e3a\u6211\u4eec\u63d0\u4f9b\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002\u7531\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5f20\u6c5f\u6559\u6388\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u5b66\u9662\u5d14\u9e4f\u526f\u6559\u6388\uff0c\u4ee5\u53ca\u745e\u5178\u5361\u7f57\u7433\u65af\u5361\u533b\u5b66\u9662\u9ad8\u7ea7\u7814\u7a76\u5458 Hector Zenil \u5408\u4f5c\u5728 Entropy \u6742\u5fd7\u53d1\u8d77\u7684 Causality and Complex Systems \u7279\u520a\u6b63\u5728\u5f81\u7a3f\u4e2d\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u56e0\u679c\u6d8c\u73b0\u793e\u533a\u6210\u5458\u5bf9\u7279\u520a\u4e2d\u7684\u5df2\u53d1\u8868\u7684\u8bba\u6587\u505a\u4e86\u7b80\u5355\u4ecb\u7ecd\uff0c\u6b22\u8fce\u5bf9\u76f8\u5173\u8bdd\u9898\u611f\u5174\u8da3\u7684\u7814\u7a76\u8005\u6295\u7a3f\u3002<\/span><\/span><\/span><\/strong><\/span><\/strong><\/section>\n

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\u7814\u7a76\u9886\u57df\uff1a\u590d\u6742\u7cfb\u7edf\uff0c\u56e0\u679c\u6d8c\u73b0\uff0c\u56e0\u679c\u79d1\u5b66\uff0c\u673a\u5668\u5b66\u4e60\uff0c\u4fe1\u606f\u8bba<\/span><\/span><\/strong><\/span><\/strong><\/section>\n
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\u590d\u6742\u7cfb\u7edf\u65e0\u5904\u4e0d\u5728\u3002\u7cfb\u7edf\u590d\u6742\u6027\u7684\u4e00\u4e2a\u539f\u56e0\u662f\uff0c\u5927\u578b\u7cfb\u7edf\u4e2d\u4e0d\u540c\u5c42\u6b21\u4e0a\u5e7f\u6cdb\u5b58\u5728\u7ea0\u7f20\u7684\u56e0\u679c\u7ed3\u6784\u3002\u5728\u590d\u6742\u7cfb\u7edf\u4e2d\uff0c\u56e0\u679c\u5173\u7cfb\u53ef\u80fd\u662f\u6d8c\u73b0\u7684\uff0c\u8fd9\u610f\u5473\u7740\u5982\u679c\u5bf9\u7cfb\u7edf\u8fdb\u884c\u9002\u5f53\u7684\u7c97\u7c92\u5316\u64cd\u4f5c\uff0c\u90a3\u4e48\u66f4\u5f3a\u7684\u56e0\u679c\u5173\u7cfb\u53ef\u80fd\u53ea\u5728\u5b8f\u89c2\u5c42\u9762\u800c\u4e0d\u662f\u5fae\u89c2\u5c42\u9762\u89c2\u5bdf\u5f97\u5230\u3002\u66f4\u8fdb\u4e00\u6b65\uff0c\u81ea\u4e0a\u800c\u4e0b\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u5373\u7cfb\u7edf\u4e2d\u7684\u5b8f\u89c2\u72b6\u6001\u53d8\u91cf\u5f71\u54cd\u5fae\u89c2\u72b6\u6001\u53d8\u91cf\uff0c\u4e5f\u53ef\u4ee5\u5728\u6d3b\u7cfb\u7edf\u6216\u793e\u4f1a\u7cfb\u7edf\u4e2d\u89c2\u5bdf\u5230\u3002<\/span><\/section>\n

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\u7136\u800c\uff0c\u6211\u4eec\u5982\u4f55\u4ece\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\u7684\u539f\u59cb\u6570\u636e\u4e2d\u53d1\u73b0\u8fd9\u4e9b\u9519\u7efc\u590d\u6742\u7684\u56e0\u679c\u7ed3\u6784\u5e76\u8bc6\u522b\u56e0\u679c\u6d8c\u73b0\uff0c\u4ee5\u53ca\u5982\u4f55\u5229\u7528\u8fd9\u4e9b\u56e0\u679c\u673a\u5236\u63a8\u65ad\u7cfb\u7edf\u672a\u6765\u7684\u72b6\u6001\u548c\u6f14\u5316\uff0c\u8fd9\u4e9b\u90fd\u662f\u91cd\u8981\u800c\u53c8\u56f0\u96be\u7684\u95ee\u9898\u3002\u673a\u5668\u5b66\u4e60\u3001\u4e92\u4fe1\u606f\u5206\u89e3\u3001\u56e0\u679c\u63a8\u65ad\u7b49\u65b0\u5174\u6280\u672f\u5c06\u4e3a\u6211\u4eec\u63d0\u4f9b\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/span><\/section>\n

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\u5728\u672c\u671f\u7279\u520a\u4e2d\uff0c\u6211\u4eec\u5c06\u91cd\u70b9\u5173\u6ce8\u4f46\u4e0d\u9650\u4e8e\u4ee5\u4e0b\u4e3b\u9898:<\/span><\/p>\n

\u56e0\u679c\u53d1\u73b0<\/strong>\uff08Causal discovery\uff09<\/span><\/p>\n

\u56e0\u679c\u63a8\u65ad<\/strong>\uff08Causal inference\uff09<\/span><\/p>\n

\u56e0\u679c\u6d8c\u73b0<\/strong>\uff08Causal emergence\uff09<\/span><\/p>\n

\u81ea\u4e0a\u800c\u4e0b\u56e0\u679c<\/strong>\uff08Downward causality\uff09<\/span><\/p>\n

\u56e0\u679c\u7684\u4fe1\u606f\u8bba\u6d4b\u91cf<\/strong>\uff08Information theoretic measure of causality\uff09<\/span><\/p>\n

\u4fe1\u606f\u5206\u89e3<\/strong>\uff08Information decomposition\uff09<\/span><\/p>\n

\u56e0\u679c\u8868\u5f81\u5b66\u4e60<\/strong>\uff08Causal representation learning\uff09<\/span><\/p>\n

\u57fa\u4e8e\u56e0\u679c\u7684\u673a\u5668\u5b66\u4e60<\/strong>\uff08Machine learning based on causality\uff09<\/span><\/p>\n

\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u91cd\u6574\u5316<\/strong>\uff08Renormalization based on machine learning\uff09<\/span><\/section>\n

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Entropy \u6742\u5fd7 Causality and Complex Systems \u7279\u520a\u76ee\u524d\u4ecd\u5728\u5f81\u7a3f\u4e2d\uff0c\u6b22\u8fce\u5bf9\u76f8\u5173\u8bdd\u9898\u611f\u5174\u8da3\u7684\u7814\u7a76\u8005\u6295\u7a3f\uff0c\u4f1a\u8bae\u6587\u7ae0\u4e5f\u53ef\u6295\u7a3f\u3002<\/span><\/section>\n

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\u4e3b\u8981\u4fe1\u606f\u5982\u4e0b\uff1a<\/span><\/section>\n
\u671f\u520a\uff1aEntropy (ISSN 1099-4300)<\/span><\/section>\n
\u680f\u76ee\uff1a\u590d\u6742\u6027\u7279\u520a<\/span><\/section>\n
\u4e3b\u9898\uff1a\u56e0\u679c\u4e0e\u590d\u6742\u7cfb\u7edf\uff08Causality and Complex Systems\uff09<\/span><\/section>\n
\u5f81\u7a3f\u622a\u6b62\u65e5\u671f\uff1a2023\u5e7411\u67087\u65e5 <\/span><\/section>\n

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https:\/\/www.mdpi.com\/journal\/entropy\/special_issues\/causality_complex_systems<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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1. \u751f\u7269\u4e0e\u6280\u672f\u4e2d\u7684\u52a8\u529b\u56e0\u3001\u5f62\u5f0f\u56e0\u3001\u8d28\u6599\u56e0\u548c\u76ee\u7684\u56e0<\/span><\/strong><\/p>\n

2. \u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\u56e0\u679c\u4f30\u8ba1\u7684\u81ea\u52a9\u62bd\u6837\u6cd5\u6bd4\u8f83\u7efc\u8ff0<\/span><\/strong><\/p>\n

3. \u56e0\u679c\u6d8c\u73b0\u4e2d\u7684\u795e\u7ecf\u4fe1\u606f\u6324\u538b\u5668<\/span><\/strong><\/p>\n

4. \u95ea\u70c1\u6d8c\u73b0\uff1a\u6d8c\u73b0\u7684\u4fe1\u606f\u8bba\u65b9\u6cd5\u4e2d\u7684\u5c40\u90e8\u6027\u95ee\u9898<\/span><\/strong><\/p>\n

5. \u4fe1\u606f\u51e0\u4f55\u8fdb\u884c\u56e0\u679c\u6027\u5206\u6790\u7684\u6bd4\u8f83<\/span><\/strong><\/p>\n

6. \u4f7f\u7528\u6536\u655b\u4ea4\u53c9\u6620\u5c04\u63a8\u65ad\u73af\u5883\u56e0\u7d20\u4e0e\u547c\u5438\u9053\u611f\u67d3\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb<\/span><\/strong><\/p>\n

7. \u57fa\u4e8e\u6838\u683c\u5170\u6770\u56e0\u679c\u6027\u7684\u7cbe\u795e\u5206\u88c2\u75c7 MEG \u7f51\u7edc\u5206\u6790<\/span><\/strong><\/span><\/section>\n


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1. <\/strong><\/strong><\/span>\u751f\u7269\u4e0e\u6280\u672f\u4e2d\u7684<\/span><\/strong><\/p>\n

\u52a8\u529b\u56e0\u3001\u5f62\u5f0f\u56e0\u3001\u8d28\u6599\u56e0\u548c\u76ee\u7684\u56e0<\/span><\/strong><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aEfficient, Formal, Material, and Final Causes in Biology and Technology<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/9\/1301<\/span><\/section>\n
\u4f5c\u8005\uff1aGeorge F R Ellis\uff0c\u5f00\u666e\u6566\u5927\u5b66\u6570\u5b66<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u50cf\u751f\u547d\u4f53\u8fd9\u6837\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\uff0c\u5f80\u5f80\u6709\u591a\u4e2a\u5c42\u7ea7\uff0c\u6bd4\u5982\u6700\u5e95\u5c42\u662f\u539f\u5b50\u548c\u7535\u5b50\uff0c\u518d\u5f80\u4e0a\u662f\u57fa\u56e0\u548c\u86cb\u767d\u8d28\u3001RNA\u7f51\u7edc\u3001\u7ec6\u80de\u3001\u5668\u5b98\u4e00\u76f4\u5230\u6574\u4e2a\u6709\u673a\u4f53\u3002\u4e00\u65b9\u9762\u8fd8\u539f\u8bba\u544a\u8bc9\u6211\u4eec\uff0c\u4efb\u4f55\u73b0\u8c61\u53ef\u4ee5\u8fd8\u539f\u5230\u5b83\u7684\u4e00\u90e8\u5206\u8fdb\u884c\u56e0\u679c\u5730\u89e3\u91ca\uff0c\u6bd4\u5982\u7ec6\u80de\u95f4\u7684\u884c\u4e3a\u53ef\u4ee5\u8ffd\u6eaf\u5230\u539f\u5b50\u7684\u53d8\u5316\uff0c\u53ef\u53e6\u4e00\u65b9\u9762\u6211\u4eec\u53c8\u8ba4\u4e3a\u57fa\u56e0\u4e0e\u7ec6\u80de\u90fd\u5e94\u8be5\u5177\u6709\u72ec\u7acb\u7684\u56e0\u679c\u80fd\u529b\uff0c\u4e24\u8005\u4ea7\u751f\u4e86\u77db\u76fe\u3002\u5bf9\u6b64\uff0c\u4f5c\u8005\u63d0\u51fa\u6bcf\u4e2a\u5c42\u7ea7\u90fd\u6709\u5404\u81ea\u771f\u6b63\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u5b9a\u4e49\u6709\u6548\u56e0\u679c<\/strong>\uff1a\u7cfb\u7edfS\u5728\u67d0\u5c42\u7ea7L\u4e0a\uff0c\u6709\u6cd5\u5219<\/sub>\uff0c\u80fd\u591f\u5728\u7ed9\u5b9a\u521d\u503c<\/sub>\u7684\u6761\u4ef6\u4e0b\u786e\u5b9a\u672a\u6765\u6bcf\u4e2a\u65f6\u523b\u7684\u503c<\/sub>\u3002<\/span><\/section>\n

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\u56fe1. \u751f\u547d\u4f53\u590d\u6742\u7cfb\u7edf\u7684\u5c42\u7ea7\u7ed3\u6784\uff0c\u81ea\u4e0a\u800c\u4e0b\u4e0e\u81ea\u4e0b\u800c\u4e0a\u7684\u76f8\u4e92\u4f5c\u7528\u53d1\u751f\u4e92\u52a8<\/span><\/section>\n

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\u8fdb\u4e00\u6b65\uff0c\u8fd9\u79cd\u6709\u6548\u56e0\u679c\u5173\u7cfb\u6765\u81ea\u5411\u4e0a\u548c\u5411\u4e0b\u56e0\u679c\u4f5c\u7528\u7684\u7ec4\u5408<\/strong>\uff0c\u6bd4\u5982\u67d0\u4e9b\u7ec6\u80de\u7684\u6b7b\u4ea1\u5bfc\u81f4\u8111\u5352\u4e2d\uff0c\u8fdb\u800c\u5bfc\u81f4\u67d0\u4e00\u90e8\u5206\u8111\u7ec4\u7ec7\u7ec6\u80de\u7684\u6b7b\u4ea1\u3002\u4f5c\u8005\u57fa\u4e8e\u4e9a\u91cc\u58eb\u591a\u5fb7\u7684\u56db\u56e0\u8bf4<\/span>\uff08\u5f62\u5f0f\u56e0\u3001\u8d28\u6599\u56e0\u3001\u52a8\u529b\u56e0\u548c\u76ee\u7684\u56e0\uff09<\/span>\uff0c\u5728\u5927\u91cf\u4f8b\u5b50\u4e2d\u9610\u91ca\u4e0d\u540c\u7c7b\u578b\u7684\u56e0\u679c\u4f5c\u7528\uff0c\u8bba\u8bc1\u591a\u4e2a\u5c42\u7ea7\u4e0a\u7684\u6d8c\u73b0\u662f\u771f\u5b9e\u7684\uff0c\u65e0\u6cd5\u5728\u67d0\u4e2a\u5e95\u5c42\u7684\u7269\u7406\u5c42\u7ea7\u4e0a\u89e3\u91ca\u6240\u6709\u7684\u73b0\u8c61\u3002<\/span><\/section>\n

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2.<\/strong><\/strong><\/span> <\/strong><\/strong><\/span>\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\u56e0\u679c\u4f30\u8ba1\u7684<\/span><\/strong><\/p>\n

\u81ea\u52a9\u62bd\u6837\u6cd5\u6bd4\u8f83\u7efc\u8ff0<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aComparison of Bootstrap Methods for Estimating Causality in Linear Dynamic Systems: A Review<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/7\/1070<\/span><\/section>\n
\u4f5c\u8005\uff1aFumikazu Miwakeichi, Andreas Galka\uff0c\u65e5\u672c\u7edf\u8ba1\u6570\u5b66\u7814\u7a76\u6240\uff0c\u5fb7\u56fd\u57fa\u5c14\u5927\u5b66<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u4f5c\u8005\u5bf9\u56db\u79cd\u4e0d\u540c\u7684\u81ea\u52a9\u62bd\u6837\u6cd5<\/span>\uff08Bootstrap Method\uff09<\/span>\u5728\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u8bc4\u4f30\u56e0\u679c\u5206\u6790\u663e\u8457\u6027\u7684\u6027\u80fd\u8fdb\u884c\u4e86\u5168\u9762\u6bd4\u8f83\u3002\u4e3a\u6b64\u901a\u8fc7\u7ebf\u6027\u53cd\u9988\u7cfb\u7edf\u4ea7\u751f\u4e86\u591a\u53d8\u91cf\u7684\u6a21\u62df\u6570\u636e\u3002\u8fd9\u91cc\u8c03\u67e5\u7684\u65b9\u6cd5\u5305\u62ec\u65e0\u76f8\u5173\u76f8\u4f4d\u968f\u673a\u5316 Bootstrap<\/span>\uff08uPRB\uff09<\/span>\uff0c\u5b83\u901a\u8fc7\u5728\u9891\u57df\u968f\u673a\u5316\u76f8\u4f4d\u6765\u751f\u6210\u65e0\u4ea4\u53c9\u76f8\u5173\u53d8\u91cf\u7684\u66ff\u4ee3\u6570\u636e\uff1b\u65f6\u95f4\u504f\u79fb Bootstrap<\/span>\uff08TSB\uff09<\/span>\uff0c\u5b83\u901a\u8fc7\u5728\u65f6\u95f4\u57df\u968f\u673a\u5316\u76f8\u4f4d\u6765\u751f\u6210\u66ff\u4ee3\u6570\u636e\uff1b\u5e73\u7a33 Bootstrap<\/span>\uff08SB\uff09<\/span>\uff0c\u5b83\u8ba1\u7b97\u5f31\u76f8\u5173\u5e73\u7a33\u89c2\u6d4b\u7684\u6807\u51c6\u8bef\u5dee\u5e76\u6784\u5efa\u7f6e\u4fe1\u533a\u95f4\uff1b\u4ee5\u53caAR-Sieve Bootstrap<\/span>\uff08ARSB\uff09<\/span>\uff0c\u4e00\u79cd\u57fa\u4e8e\u81ea\u56de\u5f52<\/span>\uff08AR\uff09<\/span>\u6a21\u578b\u7684\u91cd\u91c7\u6837\u65b9\u6cd5\uff0c\u7528\u4e8e\u903c\u8fd1\u5e95\u5c42\u6570\u636e\u751f\u6210\u8fc7\u7a0b\u3002<\/span><\/section>\n

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uPRB \u65b9\u6cd5\u53ef\u4ee5\u51c6\u786e\u8bc6\u522b\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u4f46\u5728\u67d0\u4e9b\u53d8\u91cf\u4e2d\u65e0\u6cd5\u68c0\u6d4b\u5230\u81ea\u53cd\u9988\u3002\u5c3d\u7ba1TSB\u65b9\u6cd5\u6548\u679c\u4e0d\u5982uPRB\uff0c\u4f46\u5b83\u4e5f\u65e0\u6cd5\u68c0\u6d4b\u5230\u67d0\u4e9b\u53d8\u91cf\u4e4b\u95f4\u7684\u53cd\u9988\u3002SB\u65b9\u6cd5\u7ed9\u51fa\u4e86\u4e00\u81f4\u7684\u56e0\u679c\u7ed3\u679c\uff0c\u5c3d\u7ba1\u968f\u7740\u5747\u503c\u5206\u5757\u5bbd\u5ea6\u7684\u589e\u52a0\uff0c\u5b83\u68c0\u6d4b\u81ea\u53cd\u9988\u7684\u80fd\u529b\u4f1a\u51cf\u5f31\u3002ARSB\u65b9\u6cd5\u8868\u73b0\u51fa\u4f18\u8d8a\u7684\u6027\u80fd\uff0c\u5728\u6240\u6709\u53d8\u91cf\u4e2d\u51c6\u786e\u68c0\u6d4b\u5230\u81ea\u53cd\u9988\u548c\u56e0\u679c\u5173\u7cfb\u3002\u5173\u4e8e\u51b2\u51fb\u54cd\u5e94\u51fd\u6570<\/span>\uff08IRF\uff09<\/span>\u7684\u5206\u6790\uff0c\u53ea\u6709ARSB\u65b9\u6cd5\u80fd\u591f\u5728\u6240\u6709\u53d8\u91cf\u4e2d\u51c6\u786e\u68c0\u6d4b\u5230\u81ea\u53cd\u9988\u548c\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u4e0e\u8fde\u63a5\u56fe\u76f8\u543b\u5408\u3002\u5176\u4ed6\u65b9\u6cd5\u5728\u68c0\u6d4b\u6027\u80fd\u65b9\u9762\u5b58\u5728\u663e\u8457\u7684\u53d8\u5316\uff0c\u6709\u4e9b\u68c0\u6d4b\u5230\u4e86\u8bef\u62a5\uff0c\u800c\u5176\u4ed6\u4ec5\u80fd\u68c0\u6d4b\u5230\u81ea\u53cd\u9988\u3002<\/span><\/section>\n

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\u56fe1.\uff08a\uff09\u7528\u5e73\u5747\u5757\u5bbd\u5ea6 w = 5 \u7684\u76f8\u5173\u5e73\u7a33 Bootstrap (cSB)\u8bc4\u4ef7 Granger \u56e0\u679c\u5173\u7cfb\u7684\u7ed3\u679c; (b) \u5e73\u5747\u5757\u5bbd\u5ea6 w = 10 \u548c(c) w = 40 \u7684\u4e0d\u76f8\u5173\u5e73\u7a33 Bootstrap (ucSB); (d) \u65f6\u95f4\u79fb\u4f4d\u81ea\u52a9\u6cd5<\/span><\/p>\n


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\u5bf9\u4e8eSB\u65b9\u6cd5\uff0c\u7814\u7a76\u4e2d\u786e\u5b9a\u4e86\u6700\u4f73\u5e73\u5747\u5757\u5bbd\u5ea6w\uff0c\u9009\u62e95\u300110\u300120\u548c40\u7684\u503c\u3002\u5982\u56fe1a\u6240\u793a\uff0c\u65e0\u8bba\u9009\u62e9\u7684\u5e73\u5747\u5757\u5bbd\u5ea6\u5982\u4f55\uff0ccSB\u65b9\u6cd5\u59cb\u7ec8\u4ea7\u751f\u6b63\u786e\u7684\u56e0\u679c\u5173\u7cfb\u7ed3\u679c\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cucSB\u65b9\u6cd5\u5728 w = 5 \u65f6\u4ea7\u751f\u4e86\u6b63\u786e\u7684\u56e0\u679c\u5173\u7cfb\u7ed3\u679c\uff0c\u4f46\u81ea\u53cd\u9988\u7684\u68c0\u51fa\u7387\u968f\u7740w\u7684\u589e\u52a0\u800c\u964d\u4f4e<\/span>\uff08\u89c1\u56fe1b,c\uff09<\/span>\u3002<\/span><\/section>\n

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\u56fe2. \u663e\u8457\u6027 IRFlms \u7684\u4e8c\u7ef4\u8868\u793a\u3002a\u663e\u793a\u4e86\u6bcf\u4e2a\u53d8\u91cf\uff08m = 1, …, 7\uff09\u5206\u914d\u7684\u5f71\u54cd\u7684 IRFs\uff0cucARSB\u8bc4\u4f30\u5176\u663e\u8457\u6027\u3002cSB\u65b9\u6cd5\u5bf9\u4e8e\u524d\u4e94\u4e2a\u53d8\u91cf\u7684\u7ed3\u679c\u51e0\u4e4e\u4e0eARSB\u65b9\u6cd5\u5b8c\u5168\u76f8\u540c\u3002\u7136\u800c\uff0c\u5b83\u68c0\u6d4b\u5230\u4e86\u4ece\u7b2c\u516d\u4e2a\u5230\u7b2c\u4e03\u4e2a\u53d8\u91cf\u7684\u54cd\u5e94\uff0c\u6784\u6210\u4e86\u4e00\u4e2a\u9519\u8bef\u7684\u6b63\u68c0\uff0c\u8fd9\u5728\u5747\u503c\u5757\u5bbd\u5ea6\u7684\u6240\u6709\u6d4b\u8bd5\u503c\u4e2d\u90fd\u89c2\u5bdf\u5230\u3002uPRB\u65b9\u6cd5\u4e3b\u8981\u68c0\u6d4b\u5230\u76f4\u63a5\u8026\u5408\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff08c\uff09\u3002\u6b64\u5916\uff0c\u8fd8\u51fa\u73b0\u4e86\u5047\u9633\u6027\uff0c\u4f8b\u5982\u7b2c\u4e00\u4e2a\u548c\u7b2c\u4e03\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u4e92\u76f8\u54cd\u5e94\u4ee5\u53ca\u7b2c\u4e94\u4e2a\u548c\u7b2c\u516d\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u4e92\u76f8\u54cd\u5e94\u3002\u5728\u8bc4\u4f30\u7684\u81ea\u52a9\u6cd5\u4e2d\uff0c\u65e0\u8bba\u6d4b\u8bd5\u7684\u5747\u503c\u5757\u5bbd\u5ea6\u5982\u4f55\uff0cucSB\u65b9\u6cd5\u90fd\u5c55\u73b0\u51fa\u6700\u5f31\u7684\u68c0\u6d4b\u6027\u80fd\uff0c\u4ec5\u68c0\u6d4b\u5230\u81ea\u53cd\u9988\uff08d\uff09\u3002<\/span><\/p>\n


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3. \u56e0<\/strong><\/strong><\/strong><\/span>\u679c\u6d8c\u73b0\u4e2d\u7684\u795e\u7ecf\u4fe1\u606f\u6324\u538b\u5668<\/strong><\/strong><\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aNeural Information Squeezer for Causal Emergence<\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/1\/26<\/span><\/section>\n
\u4f5c\u8005\uff1a\u5f20\u6c5f\uff0c\u5218\u51ef\u5a01\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u4e00\u4e9b\u52a8\u529b\u5b66\u6a21\u578b\u8fdb\u884c\u76f8\u5e94\u7684\u9884\u6d4b\u3002\u5728\u5148\u524d\u7684\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5c06\u56e0\u679c\u6d8c\u73b0\u8bc6\u522b\u95ee\u9898\u8868\u8ff0\u4e3a\u5728\u5fae\u89c2\u52a8\u529b\u5b66\u7cbe\u786e\u9884\u6d4b\u7684\u7ea6\u675f\u4e0b\uff0c\u5b8f\u89c2\u52a8\u529b\u5b66\u7684\u6709\u6548\u4fe1\u606f<\/span>\uff08effective information\uff0c<\/span>EI\uff09<\/span>\u7684\u6700\u5927\u5316\u95ee\u9898\u3002\u672c\u6587\u63d0\u51fa\u4e00\u4e2a\u901a\u7528\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u79f0\u4e3a\u795e\u7ecf\u4fe1\u606f\u6324\u538b\u5668<\/strong><\/span>\uff08Neural Information Squeezer, <\/span>NIS\uff09<\/span>\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002\u901a\u8fc7\u4f7f\u7528\u53ef\u9006\u795e\u7ecf\u7f51\u7edc\u5bf9\u7c97\u7c92\u5ea6\u7b56\u7565\u8fdb\u884c\u5efa\u6a21\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u4ece\u9ad8\u7ef4\u5230\u4f4e\u7ef4\u7684\u4efb\u4f55\u6620\u5c04\u5206\u89e3\u4e3a\u4e00\u7cfb\u5217\u4fe1\u606f\u8f6c\u6362\u3001\u53ef\u9006\u8fc7\u7a0b\u548c\u4fe1\u606f\u4e22\u5f03\u8fc7\u7a0b\u3002\u8fd9\u6837\uff0c\u8be5\u6846\u67b6\u4e0d\u4ec5\u53ef\u4ee5\u4ee5\u7cbe\u786e\u7684\u65b9\u5f0f\u63a7\u5236\u4fe1\u606f\u7684\u8f6c\u6362\u548c\u4e22\u5f03\uff0c\u8fd8\u53ef\u4ee5\u4ece\u7406\u8bba\u4e0a\u5bf9\u6574\u4e2a\u6846\u67b6\u8fdb\u884c\u6570\u5b66\u5206\u6790\u3002<\/span><\/section>\n

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\u56fe1. \u5b8c\u6574\u53ef\u9006\u795e\u7ecf\u7f51\u7edc<\/span><\/section>\n

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NIS\u7531\u4e09\u4e2a\u7ec4\u4ef6\u7ec4\u6210\uff1a\u7f16\u7801\u5668\u3001\u52a8\u529b\u5b66\u5b66\u4e60\u5668\u548c\u89e3\u7801\u5668\u3002\u7f16\u7801\u5668\u5c06\u5fae\u89c2\u72b6\u6001\u6620\u5c04\u5230\u5b8f\u89c2\u72b6\u6001 \uff0c\u8fd9\u79cd\u6620\u5c04\u53ef\u4ee5\u5206\u4e3a\u4e24\u4e2a\u6b65\u9aa4\u3002\u7b2c\u4e00\u6b65\u662f\u53cc\u5c04<\/span>\uff08\u53ef\u9006\uff09<\/span>\u6620\u5c04\uff0c\u4e0d\u4e22\u5931\u4fe1\u606f\uff0c\u5e76\u7531\u53ef\u9006\u795e\u7ecf\u7f51\u7edc\u5b9e\u73b0\uff0c\u7b2c\u4e8c\u6b65\u662f\u901a\u8fc7\u4e22\u5f03p\u7ef4\u4e0a\u7684\u4fe1\u606f\uff0c\u5c06p\u7ef4\u5411\u91cf\u6295\u5f71\u5230q\u7ef4\uff0cp>q\u3002\u53ef\u9006\u7f51\u7edc\u53ef\u4ee5\u7528RealVnp\u7f51\u7edc\u5b9e\u73b0\u3002<\/span><\/section>\n

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\u56fe2. \u52a8\u529b\u5b66\u90e8\u5206\u53ef\u9006\u7f51\u7edc<\/span><\/section>\n

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\u5728\u6a21\u5757\u4e2d\uff0c\u8f93\u5165\u5411\u91cf\u53ef\u4ee5\u5206\u4e3a\u4e24\u90e8\u5206\uff0c\u4e24\u4e2a\u5411\u91cf\u5c06\u88ab\u7f29\u653e\u3001\u5e73\u79fb\u548c\u518d\u6b21\u5408\u5e76\u3002\u89e3\u7801\u5668\u5c06\u4e0b\u4e00\u65f6\u95f4\u6b65\u957f\u7684\u9884\u6d4b\u7684\u5b8f\u72b6\u6001\u8f6c\u6362\u4e3a\u4e0b\u4e00\u65f6\u95f4\u6b65\u9aa4\u7684\u5fae\u89c2\u72b6\u6001\u7684\u9884\u6d4b\u3002\u901a\u8fc7\u5b66\u4e60\u7cfb\u7edf\u52a8\u529b\u5b66\uff0c\u5f97\u5230\u6620\u5c04\u65b9\u7a0b\uff0c\u52a8\u529b\u5b66\u5b66\u4e60\u5668\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u53c2\u6570\u4e3a \ud835\udefd\u7684\u524d\u9988\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u5c06\u5728\u5b8f\u89c2\u5c42\u9762\u4e0a\u5b66\u4e60\u6709\u6548\u7684\u9a6c\u5c14\u53ef\u592b\u52a8\u529b\u5b66\u3002\u968f\u540e\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5b66\u4e60\u5230\u7684\u6a21\u578b\uff0c\u8fdb\u884c\u6709\u6548\u4fe1\u606fEI\u7684\u9884\u6d4b\uff0c\u4ece\u800c\u8ba1\u7b97\u4ecep\u7ef4\u5230q\u7ef4\u7684\u7ea6\u51cf\u4e2d\uff0c\u662f\u5426\u4ea7\u751f\u56e0\u679c\u6d8c\u73b0\u3002<\/span><\/section>\n
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4. <\/strong><\/strong><\/span>\u95ea\u70c1\u6d8c\u73b0\uff1a<\/strong><\/span><\/p>\n

\u6d8c\u73b0\u7684\u4fe1\u606f\u8bba\u65b9\u6cd5\u4e2d\u7684\u5c40\u90e8\u6027\u95ee\u9898<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aFlickering Emergences: The Question of Locality in Information-Theoretic Approaches to Emergence<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/1\/54<\/span><\/section>\n
\u4f5c\u8005\uff1aThomas F Varley\uff0c\u5370\u7b2c\u5b89\u7eb3\u5927\u5b66\u751f\u7406\u4e0e\u8111\u79d1\u5b66\u7cfb<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u76ee\u524d\u5728\u91cf\u5316\u6d8c\u73b0\u9886\u57df\uff0c\u6709\u4e24\u4e2a\u4e3b\u6d41\u7684\u91cf\u5316\u6846\u67b6\uff0c\u5206\u522b\u662f Hoel \u63d0\u51fa\u7684\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\u548c Rosas \u63d0\u51fa\u7684\u4fe1\u606f\u5206\u89e3\u8ba1\u7b97\u3002\u5728\u5bf9\u7cfb\u7edf\u591a\u5c3a\u5ea6\u5efa\u6a21\u4e0b\uff0c\u4f7f\u7528\u4fe1\u606f\u8bba\u7684\u5de5\u5177\u5206\u6790\u548c\u8ba1\u7b97\u5fae\u89c2\u6001\u4e0e\u5b8f\u89c2\u6001\u7684\u4fe1\u606f\u4f20\u9012\u3002\u8fd9\u4e24\u4e2a\u6846\u67b6\u6709\u4e00\u4e2a\u5171\u540c\u7279\u70b9\uff0c\u5747\u4f1a\u8ba1\u7b97\u51fa\u4e00\u4e2a\u7279\u5b9a\u7684\u6307\u6807\uff0c\u6839\u636e\u8be5\u6307\u6807\u503c\u7684\u5927\u5c0f\u6765\u8bc6\u522b\u662f\u5426\u6709\u6d8c\u73b0\u53d1\u751f\u3002\u6bd4\u5982 Hoel \u8ba4\u4e3a\uff0c\u5982\u679c\u5b8f\u89c2\u7684\u6709\u6548\u4fe1\u606f<\/span>\uff08effective information\uff09<\/span>\u6bd4\u5fae\u89c2\u7684\u6709\u6548\u4fe1\u606f\u66f4\u5927\uff0c\u5219\u53d1\u751f\u6d8c\u73b0\u3002\u800c\u5728\u4fe1\u606f\u5206\u89e3\u6846\u67b6\u4e0b\uff0c\u5982\u679c\u534f\u540c\u4fe1\u606f\u8ba1\u7b97\u51fa\u5927\u4e8e0\uff0c\u5219\u8ba4\u4e3a\u53d1\u751f\u6d8c\u73b0\u3002\u4f46\u6574\u4f53\u4e0a\u88ab\u5224\u65ad\u51fa\u53d1\u751f\u6d8c\u73b0\u7684\u7cfb\u7edf\u4e0d\u4e00\u5b9a\u6bcf\u4e2a\u90e8\u5206\u6216\u72b6\u6001\u4e0a\u90fd\u662f\u6d8c\u73b0\u7684<\/strong>\u3002\u6bd4\u5982\u4e00\u4e2a\u9e1f\u7fa4\u56e0\u4e3a\u6355\u98df\u8005\u6216\u5176\u5b83\u56e0\u7d20\u6682\u65f6\u88ab\u51b2\u6563\u5f00\uff0c\u6b64\u65f6\u5b83\u5e76\u6ca1\u6709\u6211\u4eec\u6240\u5173\u5fc3\u7684\u6d8c\u73b0\u73b0\u8c61\uff0c\u4f46\u4e0d\u4f1a\u88ab\u6709\u6548\u4fe1\u606f\u6216\u534f\u540c\u4fe1\u606f\u53cd\u6620\u51fa\u6765\u3002\u6240\u4ee5\u6211\u4eec\u80fd\u5426\u7ed9\u51fa\u4e00\u4e2a\u7cfb\u7edf\u53d1\u751f\u6d8c\u73b0\u65f6\u66f4\u7cbe\u7ec6\u7684\u7ed3\u6784\uff1f<\/span><\/section>\n

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\u4f5c\u8005\u57fa\u4e8e\u5c40\u90e8\u4fe1\u606f\u8bba\u7684\u7406\u8bba\uff0c\u5206\u522b\u5bf9\u4e24\u4e2a\u6846\u67b6\u8fdb\u884c\u6269\u5c55\uff0c\u5f97\u5230\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u548c\u5c40\u90e8\u9ad8\u9636\u5173\u7cfb\u3002\u5982\u679c\u6211\u4eec\u53d1\u73b0\u6240\u6709\u7684\u5c40\u90e8\u6ca1\u6709\u8868\u73b0\u7684\u975e\u5e38\u4e00\u81f4\uff0c\u4e5f\u5c31\u662f\u8bf4\uff0c\u6211\u4eec\u66f4\u5e94\u8be5\u628a\u5b83\u770b\u6210\u4e00\u7cfb\u5217\u5c40\u90e8\u7684\u96c6\u5408\u800c\u4e0d\u662f\u4e00\u4e2a\u6574\u4f53\u7684\u65f6\u5019\uff0c\u79f0\u8fd9\u79cd\u73b0\u8c61\u4e3a\u95ea\u70c1\u6d8c\u73b0<\/strong><\/span>\uff08<\/strong>flickering emergence\uff09<\/span>\u3002\u5728\u5177\u4f53\u8ba1\u7b97\u4e0a\uff0c\u53ea\u9700\u8981\u628a\u8fc7\u5269\u71b5<\/span>\uff08excess entropy\uff09<\/span>\u7684\u8ba1\u7b97\u91cc\u4e92\u4fe1\u606f\u66ff\u6362\u4e3a\u5c40\u90e8\u4e92\u4fe1\u606f\u3002\u5c40\u90e8\u4e92\u4fe1\u606f\u7684\u671f\u671b\u5373\u4e3a\u6574\u4f53\u7684\u4e92\u4fe1\u606f\u3002\u5728\u8fd9\u79cd\u62d3\u5c55\u7684\u89c6\u89d2\u4e0b\uff0c\u4f5c\u8005\u91cd\u65b0\u8ba1\u7b97\u4ee5\u524d\u7684\u7ecf\u5178\u6848\u4f8b\uff0c\u53d1\u73b0\u95ea\u70c1\u6d8c\u73b0\u7684\u73b0\u8c61\u975e\u5e38\u666e\u904d\u3002<\/span><\/section>\n

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\u56fe1. \u4e0a\uff1a\u5fae\u89c2\u548c\u5b8f\u89c2\u9a6c\u5c14\u79d1\u592b\u8f6c\u79fb\u77e9\u9635\u7684\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u7684\u5206\u5e03\u3002\u6bcf\u4e00\u5bf9\u4e8b\u4ef6\u4e4b\u95f4\u7684\u8f6c\u79fb\u90fd\u5bf9\u5e94\u4e00\u4e2a\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u7684\u503c\u3002\u4e0b\uff1a\u8003\u8651\u5fae\u89c2\u9a6c\u5c14\u79d1\u592b\u77e9\u9635\u4e0a\u7684\u4e00\u4e2a\u968f\u673a\u6e38\u8d70\uff0c\u6bcf\u4e00\u65f6\u523b\u53ef\u4ee5\u5f97\u5230\u5fae\u89c2\uff08\u5206\u6bcd\uff09\u548c\u5b8f\u89c2\uff08\u5206\u5b50\uff09\u4e0a\u7684\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u3002\u7bad\u5934\u6240\u6307\u4e3a\u5fae\u89c2\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u4e3a\u6b63\uff0c\u800c\u5b8f\u89c2\u5c40\u90e8\u6709\u6548\u4fe1\u606f\u4e3a\u8d1f\uff0c\u8bf4\u660e\u5728\u8fd9\u4e9b\u5730\u65b9\u7c97\u7c92\u5316\u662f\u7cdf\u7cd5\u7684\u3002<\/span><\/p>\n


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\u56fe2. \u4e0a\uff1a\u4fe1\u606f\u5206\u89e3\u7684\u6676\u683c\u56fe\uff0c\u5176\u4e2d\u6bcf\u4e00\u4e2a\u7ed3\u70b9\uff08\u8868\u793a\u5b8f\u5fae\u89c2\u53d8\u91cf\u5404\u5206\u91cf\u4e4b\u95f4\u7684\u4fe1\u606f\u4f20\u9012\uff09\u90fd\u88ab\u8ba1\u7b97\u3002\u4e2d\uff1a\u968f\u7740\u65f6\u95f4\u53d8\u5316\uff0c\u5b8f\u89c2\u53d8\u91cf\u4e4b\u95f4\u4e0e\u5fae\u89c2\u53d8\u91cf\u72ec\u7acb\u7684\u4fe1\u606f\u4f20\u9012\u5927\u5c0f\u7684\u53d8\u5316\u3002\u5176\u4e2d\u5c0f\u4e8e0\u7684\u90e8\u5206\u8868\u793a\u5b8f\u89c2\u53d8\u91cf\u4f20\u9012\u4e86\u8bef\u5bfc\u4fe1\u606f\u3002\u4e0b\uff1a\u5c55\u793a\u4e86\u89c2\u6d4b\u6570\u636e\uff0c\u5373\u4e00\u4e2a\u4e8c\u7ef4\u53d8\u91cf\u7684\u65f6\u95f4\u5e8f\u5217\u3002<\/span><\/section>\n

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5. \u4fe1\u606f\u51e0\u4f55\u8fdb\u884c\u56e0\u679c\u6027\u5206\u6790\u7684\u6bd4\u8f83<\/strong><\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aCausality Analysis with Information Geometry: A Comparison<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/5\/806<\/span><\/section>\n
\u4f5c\u8005\uff1aHeng Jie Choong, Eun-jin Kim, Fei He\uff0c\u82f1\u56fd\u8003\u6587\u5782\u5927\u5b66<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u76ee\u524d\u5728\u7528\u4e8e\u91cf\u5316\u56e0\u679c\u5173\u7cfb\u7684\u5404\u79cd\u5206\u6790\u65b9\u6cd5\u4e2d\uff0c\u6700\u5e7f\u6cdb\u4f7f\u7528\u7684\u65b9\u6cd5\u662f\uff1a\u683c\u5170\u6770\u56e0\u679c\u6027<\/span>\uff08Granger causality\uff0cGC\uff09<\/span>\u548c\u8f6c\u79fb\u71b5<\/span>\uff08Transfer Entropy\uff0cTE\uff09<\/span>\uff0c\u8fd9\u4e24\u79cd\u65b9\u6cd5\u90fd\u4f9d\u8d56\u4e8e\u6839\u636e\u8f83\u65e9\u65f6\u95f4\u53e6\u4e00\u4e2a\u8fc7\u7a0b\u7684\u77e5\u8bc6\u6765\u63d0\u9ad8\u5bf9\u4e00\u4e2a\u8fc7\u7a0b\u7684\u9884\u6d4b\u3002\u5c3d\u7ba1\u6709\u76f8\u540c\u7684\u6982\u5ff5\uff0c\u5b83\u4eec\u7528\u4e8e\u91cf\u5316\u56e0\u679c\u5173\u7cfb\u7684\u65b9\u6cd5\u5b8c\u5168\u4e0d\u540c\u3002GC\u57fa\u4e8e\u901a\u8fc7\u6bd4\u8f83\u5728\u5efa\u6a21\u4fe1\u53f7\u65f6\u52a0\u5165\u968f\u673a\u8fc7\u7a0b x1<\/sub>(t) \u4fe1\u606f\u6765\u9884\u6d4b x2<\/sub>(t) \u4fe1\u606f\u548c\u4ec5\u4f7f\u7528 x2<\/sub>(t) \u672c\u8eab\u4fe1\u606f\u7684\u7ebf\u5f62\u81ea\u56de\u5f52\u6a21\u578b\u7684\u8bef\u5dee\u6765\u8fdb\u884c\u5b9a\u91cf\u7814\u7a76\uff0c\u4f46\u7ebf\u6027\u6a21\u578b\u4e0d\u80fd\u9002\u5e94\u73b0\u5b9e\u4e16\u754c\u4fe1\u53f7\u5185\u53ef\u80fd\u5b58\u5728\u7684\u975e\u7ebf\u6027\u548c\u975e\u5e73\u7a33\u6548\u5e94\u3002\u53e6\u4e00\u65b9\u9762\uff0cTE\u662f\u4e00\u79cd\u65e0\u6a21\u578b\u65b9\u6cd5\uff0c\u91c7\u7528\u4e86\u7edf\u8ba1\u4f9d\u8d56\u6027\u65b9\u6cd5\u6765\u8bbf\u95ee\u56e0\u679c\u6027\u3002\u867d\u7136TE\u4e0d\u53d7\u4efb\u4f55\u7279\u5b9a\u6a21\u578b\u6216\u7ebf\u6027\u5047\u8bbe\u7684\u9650\u5236\uff0c\u4f46\u5bf9\u4e8e\u9ad8\u65af\u8fc7\u7a0b\uff0c\u5b83\u53ef\u4ee5\u4ea7\u751f\u4e0eGC\u7c7b\u4f3c\u7684\u7ed3\u679c\u3002\u56e0\u6b64\uff0c\u8fd9\u4e24\u79cd\u65b9\u6cd5\u5728\u5e94\u7528\u4e8e\u975e\u7ebf\u6027\u3001\u975e\u5e73\u7a33\u6570\u636e\u6216\u975e\u53c2\u6570\u6a21\u578b\u65f6\u90fd\u5404\u81ea\u5b58\u5728\u5c40\u9650\u6027\u3002<\/span><\/section>\n

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\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u79cd\u901a\u8fc7\u4fe1\u606f\u51e0\u4f55\u6765\u91cf\u5316\u56e0\u679c\u6027\u7684\u66ff\u4ee3\u65b9\u6cd5\uff0c\u514b\u670d\u4e86\u8fd9\u4e9b\u9650\u5236\u3002\u5bf9\u4e8e\u65f6\u95f4\u4f9d\u8d56\u7684\u6982\u7387\u5206\u5e03\uff0c\u53ef\u4ee5\u901a\u8fc7\u4fe1\u606f\u901f\u7387\u548c\u4fe1\u606f\u957f\u5ea6\u6765\u6d4b\u91cf\u968f\u7740\u65f6\u95f4\u53d8\u5316\u7684\u5206\u5e03\u3002\u4fe1\u606f\u901f\u7387\uff08\u0393(t)\uff09\u5ea6\u91cf\u4e86\u5206\u5e03\u53d8\u5316\u7684\u901f\u7387\uff0c\u800c\u4fe1\u606f\u957f\u5ea6\uff08\ud835\udcdb\uff09\u5ea6\u91cf\u4e86\u5206\u5e03\u7684\u603b\u53d8\u5316\u3002\u4e3a\u4e86\u7814\u7a76\u56e0\u679c\u5173\u7cfb\uff0c\u4f5c\u8005\u8003\u8651\u4e86\u4e24\u4e2a\u968f\u673a\u8fc7\u7a0b x1<\/sub>(t) \u548c x<\/span>2<\/sub>(t) \uff0c\u5e76\u8bc4\u4f30\u4e86\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u4fe1\u606f\u901f\u7387\u3002\u8fd9\u4e9b\u8fc7\u7a0b\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u53ef\u4ee5\u901a\u8fc7\u4fe1\u606f\u901f\u7387\u7684\u53d8\u5316<\/span>\uff08\u7edf\u8ba1\u53d8\u5316\u6216\u5206\u5e03\u7684\u53d8\u5316\uff09<\/span>\uff0c\u540c\u65f6\u8ba9\u53e6\u4e00\u4e2a\u8fc7\u7a0b\u4fdd\u6301\u4e0d\u53d8\u6765\u91cf\u5316\u3002\u4f8b\u5982\uff0c x2<\/sub>(t) \u5f15\u8d77 x1<\/sub>(t) \u7684\u4fe1\u606f\u901f\u7387\u88ab\u5b9a\u4e49\u4fe1\u606f\u901f\u7387\u56e0\u679c\u6027\u3002<\/span><\/section>\n

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\u56fe1. \u4e0a\uff1a\u4e0d\u540c\u65b9\u6cd5\u91cf\u5316\u56e0\u679c\u6027\u7684\u5b9e\u73b0\u8fc7\u7a0b\u3002\uff08a\uff09GC\u6765\u91cf\u5316\u56e0\u679c\u6027\u7684\u5b9e\u73b0\u8fc7\u7a0b\uff1b\uff08b\uff09TE\u6765\u91cf\u5316\u56e0\u679c\u6027\u7684\u8fc7\u7a0b\uff1b\uff08c\uff09\u4fe1\u606f\u51e0\u4f55\u6765\u91cf\u5316\u56e0\u679c\u6027\u7684\u5b9e\u73b0\u8fc7\u7a0b\uff0c\u56fe\u50cf\u4e2d\u6bcf\u79cd\u989c\u8272\u7684\u7ebf\u6761\u90fd\u4ee3\u8868\u4e86\u4e0d\u540c\u7684\u6a21\u62df\u3002\u5728\u672c\u7814\u7a76\u4e2d\uff0c\u6bcf\u4e2a\u7a97\u53e3\u5305\u542b0.5s\u7684\u6570\u636e\u70b9\uff0c\u5e76\u4e0e\u524d\u4e00\u4e2a\u7a97\u53e3\u91cd\u53e00.25s\u3002\u56e0\u679c\u5173\u7cfb\u5206\u6790\u5728\u6bcf\u4e2a\u7a97\u53e3\u5185\u8fdb\u884c\u3002\u8fd9\u91cc\u5c06ti<\/sub>\u8868\u793a\u4e3a\u5728\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u4e0d\u53d8\u7684\u53c2\u8003\u65f6\u95f4\u3002\u56e0\u6b64\uff0cp(x1<\/sub>(t), x2<\/sub>(ti<\/sub>)) \u662f\u901a\u8fc7\u5728\u65f6\u95f4ti<\/sub>\u4fdd\u6301\u8fc7\u7a0bx2<\/sub>(t)\u9759\u6001\u7684\u60c5\u51b5\u4e0b\u5bf9\u8fc7\u7a0bx1<\/sub>(t)\u968f\u65f6\u95f4t\u6f14\u53d8\u800c\u91c7\u6837\u7684\u6982\u7387\u5206\u5e03\u3002\u7531\u4e8e\u4fe1\u606f\u901f\u7387\u53ea\u80fd\u91cf\u5316\u5206\u5e03\u4e2d\u7684\u53d8\u5316\uff0c\u56e0\u6b64\u4fe1\u606f\u901f\u7387\u56e0\u679c\u6027\u662f\u5728\u611f\u5174\u8da3\u7684\u6bcf\u4e2a\u65f6\u95f4\u7a97\u53e3\u5185\u8bc4\u4f30\uff0c\u800c\u4e0d\u662f\u5728\u6574\u4e2a\u65f6\u95f4\u5e8f\u5217\u8fc7\u7a0b\u4e2d\u8bc4\u4f30\uff0c\u4ee5\u786e\u5b9a\u8fc7\u7a0b\u4e4b\u95f4\u7684\u8026\u5408\u662f\u5426\u4ecd\u7136\u5b58\u5728\u3002<\/span><\/p>\n


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\u4f5c\u8005\u751f\u6210\u4e00\u4e9b\u901a\u8fc7\u6a21\u62df\u5305\u542b\u5355\u5411\u548c\u53cc\u5411\u65f6\u95f4\u5e8f\u5217\u4fe1\u53f7\u4e2d\u7684\u7ebf\u6027\u548c\u975e\u7ebf\u6027\u76f8\u4e92\u4f5c\u7528\u7684\u4e0d\u540c\u7c7b\u578b\u7684\u79bb\u6563\u81ea\u56de\u5f52\u6a21\u578b\u751f\u6210\u7684\u6570\u636e\uff0c\u6765\u53bb\u5bf9\u6bd4\u4e09\u79cd\u65b9\u6cd5\u7684\u6548\u679c\u3002\u4ed6\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u663e\u793a\uff0c\u4fe1\u606f\u901f\u7387\u56e0\u679c\u6027\u5728\u672c\u6587\u63a2\u8ba8\u7684\u591a\u4e2a\u793a\u4f8b\u4e2d\u80fd\u66f4\u597d\u5730\u6355\u6349\u7ebf\u6027\u548c\u975e\u7ebf\u6027\u6570\u636e\u7684\u8026\u5408\uff0c\u4f18\u4e8eGC\u548cTE\u3002<\/span><\/section>\n

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\u56fe2. \u4e0a\uff1a\u4e0d\u540c\u6a21\u578b\u4e2dGC\u3001TE\u548c\u4fe1\u606f\u901f\u7387\u56e0\u679c\u6027\u7684\u6027\u80fd\u3002\u4e00\u822c\u6765\u8bf4\uff0cGC\u5728\u7ebf\u6027\u548c\u5e73\u7a33\u4fe1\u53f7\u4e0b\u8868\u73b0\u826f\u597d\uff1b\u53ea\u6709\u5728\u9009\u62e9\u6b63\u786e\u7684\u6ede\u540e\u65f6\uff0cTE\u8868\u73b0\u826f\u597d\uff1b\u4fe1\u606f\u901f\u7387\u56e0\u679c\u6027\u8868\u73b0\u826f\u597d\uff0c\u53ef\u4ee5\u6062\u590d\u4fe1\u53f7\u7684\u6f5c\u5728\u6ede\u540e\u3002<\/span><\/p>\n


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6. \u4f7f\u7528\u6536\u655b\u4ea4\u53c9\u6620\u5c04<\/strong><\/strong><\/span><\/p>\n

\u63a8\u65ad\u73af\u5883\u56e0\u7d20\u4e0e\u547c\u5438\u9053\u611f\u67d3\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb<\/strong><\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aInferring a Causal Relationship between Environmental Factors and Respiratory Infections Using Convergent Cross-Mapping<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/5\/807<\/span><\/section>\n
\u4f5c\u8005\uff1aDaipeng Chen, Xiaodan Sun, Robert A. Cheke\uff0c\u897f\u5b89\u4ea4\u901a\u5927\u5b66\uff0c\u8377\u5170\u83b1\u987f\u5927\u5b66\uff0c\u82f1\u56fd\u683c\u6797\u5c3c\u6cbb\u5927\u5b66<\/span><\/section>\n<\/blockquote>\n

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\u4eba\u7fa4\u4e2d\u547c\u5438\u9053\u611f\u67d3\u7684\u53d1\u751f\u7387\u4e0e\u8bb8\u591a\u56e0\u7d20\u6709\u5173\uff0c\u5176\u4e2d\u73af\u5883\u56e0\u7d20\u5982\u7a7a\u6c14\u8d28\u91cf\u3001\u6e29\u5ea6\u548c\u6e7f\u5ea6\u5f15\u8d77\u4e86\u5e7f\u6cdb\u5173\u6ce8\uff0c\u7279\u522b\u662f\u7a7a\u6c14\u6c61\u67d3\u5728\u53d1\u5c55\u4e2d\u56fd\u5bb6\u5f15\u53d1\u5173\u5207\u3002\u5c3d\u7ba1\u547c\u5438\u9053\u611f\u67d3\u4e0e\u7a7a\u6c14\u6c61\u67d3\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u4f17\u6240\u5468\u77e5\uff0c\u4f46\u5efa\u7acb\u5b83\u4eec\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u4ecd\u7136\u5f88\u56f0\u96be\u3002\u6700\u8fd1\u7684\u7814\u7a76\u63ed\u793a\u4e86\u5728\u6c14\u5019\u53d8\u5316\u671f\u95f4\u547c\u5438\u9053\u611f\u67d3\u548c\u73af\u5883\u56e0\u7d20\u4e4b\u95f4\u5b58\u5728\u5e7f\u6cdb\u7684\u76f8\u5173\u6027\u3002\u5c3d\u7ba1\u76f8\u5173\u6027\u5e76\u4e0d\u610f\u5473\u7740\u56e0\u679c\u5173\u7cfb\uff0c\u4f46\u5728\u590d\u6742\u7cfb\u7edf\u4e2d\uff0c\u76f8\u5173\u7684\u53d8\u91cf\u53ef\u80fd\u6f5c\u5728\u5730\u5171\u4eab\u4fe1\u606f\u5e76\u589e\u52a0\u7cfb\u7edf\u7684\u590d\u6742\u6027\u3002<\/span><\/section>\n

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\u4e3a\u4e86\u89e3\u51b3\u7cfb\u7edf\u8fc7\u4e8e\u590d\u6742\u96be\u4ee5\u53c2\u6570\u5316\u7684\u95ee\u9898\uff0c\u7814\u7a76\u4eba\u5458\u5f00\u53d1\u4e86\u4e00\u79cd\u79f0\u4e3a\u7ecf\u9a8c\u52a8\u6001\u5efa\u6a21<\/span>\uff08EDM\uff09<\/span>\u7684\u975e\u53c2\u6570\u6846\u67b6\uff0c\u65e8\u5728\u4f7f\u7528\u89c2\u5bdf\u5230\u7684\u65f6\u95f4\u5e8f\u5217\u6765\u5206\u6790\u590d\u6742\u7cfb\u7edf\u3002\u5728EDM\u65b9\u6cd5\u4e2d\uff0c\u6536\u655b\u4ea4\u53c9\u6620\u5c04<\/span>\uff08Convergent Cross-Mapping\uff0cCCM\uff09<\/span>\u4e13\u95e8\u7528\u4e8e\u68c0\u6d4b\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/section>\n

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\u7814\u7a76\u4eba\u5458\u5728\u6570\u5b66\u6a21\u578b\u751f\u6210\u7684\u5408\u6210\u6570\u636e\u4e0a\u9a8c\u8bc1\u4e86\u8fd9\u4e2a\u65b0\u8fc7\u7a0b\u3002\u5bf9\u4e8e\u4e2d\u56fd\u9655\u897f\u77012010\u5e741\u67081\u65e5\u81f32016\u5e7411\u670815\u65e5\u7684\u771f\u5b9e\u6570\u636e\uff0c\u9996\u5148\u901a\u8fc7\u5c0f\u6ce2\u5206\u6790\u8c03\u67e5\u6d41\u611f\u6837\u75be\u75c5\u75c5\u4f8b\u3001\u7a7a\u6c14\u8d28\u91cf\u6307\u6570\u3001\u6e29\u5ea6\u548c\u6e7f\u5ea6\u7684\u5468\u671f\u6027\u6765\u786e\u8ba4\u6539\u8fdb\u540e\u7684\u65b9\u6cd5\u9002\u7528\u3002\u63a5\u4e0b\u6765\u8bf4\u660e\u4e86\u7a7a\u6c14\u8d28\u91cf<\/span>\uff08\u7531AQI\u91cf\u5316\uff09<\/span>\u3001\u6e29\u5ea6\u548c\u6e7f\u5ea6\u5bf9\u65e5\u5e38\u6d41\u611f\u6837\u75be\u75c5\u75c5\u4f8b\u4ea7\u751f\u5f71\u54cd\uff0c\u5e76\u4e14\u7279\u522b\u662f\u547c\u5438\u9053\u611f\u67d3\u75c5\u4f8b\u968f\u7740AQI\u7684\u589e\u52a0\u800c\u9010\u6e10\u589e\u52a0\uff0c\u5e76\u4e14\u5b58\u572811\u5929\u7684\u65f6\u95f4\u5ef6\u8fdf\u3002<\/span><\/section>\n

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\u56fe1. \u897f\u5b89\u5e02\u6d41\u611f\u6837\u75be\u75c5\uff08ILI\uff09\u75c5\u4f8b\u548c\u5b9e\u9a8c\u56e0\u7d20\u7684\u65f6\u95f4\u5e8f\u5217\u56fe\u3002(a) \u4ece\u4e03\u5bb6\u533b\u9662\u6536\u96c6\u7684\u6d41\u611f\u6837\u75be\u75c5\uff08ILI\uff09\u75c5\u4f8b\uff1b(b) \u5b9e\u65f6\u7a7a\u6c14\u8d28\u91cf\u6307\u6570\uff08AQI\uff09\uff1b(c) \u6700\u4f4e\u65e5\u6e29\u5ea6\uff1b(d) \u76f8\u5bf9\u6e7f\u5ea6\u3002<\/span><\/p>\n


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\u56fe2. \u56db\u4e2a\u53d8\u91cf\uff08\u6d41\u611f\u6837\u75be\u75c5\u75c5\u4f8b\uff08ILI\uff09\u3001\u7a7a\u6c14\u8d28\u91cf\u6307\u6570\uff08AQI\uff09\u3001\u6e29\u5ea6\u3001\u6e7f\u5ea6\uff09\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u8bc1\u636e\u3002<\/span><\/p>\n


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7. \u57fa\u4e8e\u6838\u683c\u5170\u6770\u56e0\u679c\u6027\u7684<\/strong><\/strong><\/span><\/p>\n

\u7cbe\u795e\u5206\u88c2\u75c7 MEG \u7f51\u7edc\u5206\u6790<\/strong><\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aSchizophrenia MEG Network Analysis Based on Kernel Granger Causality<\/span><\/section>\n
\u8bba\u6587\u9898\u76ee\uff1ahttps:\/\/www.mdpi.com\/1099-4300\/25\/7\/1006<\/span><\/section>\n
\u4f5c\u8005\uff1aQiong Wang\uff0cWenpo Yao, Dengxuan Bai, Wanyi Yi, Wei Yan, Jun Wang\uff0c\u5357\u4eac\u90ae\u7535\u5927\u5b66\uff0c\u5357\u4eac\u533b\u79d1\u5927\u5b66<\/span><\/section>\n<\/blockquote>\n

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\u7f51\u7edc\u5206\u6790\u662f\u63a2\u7d22\u4e0d\u540c\u75c5\u7406\u751f\u7406\u6761\u4ef6\u4e0b\u590d\u6742\u8111\u7ed3\u6784\u7684\u91cd\u8981\u624b\u6bb5\u3002\u4e3a\u4e86\u5206\u6790\u8fd9\u4e9b\u7ed3\u6784\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u6784\u5efa\u53ef\u89e3\u91ca\u7684\u7f51\u7edc\u3002\u8be5\u5de5\u4f5c\u4f5c\u8005\u91c7\u7528\u591a\u5143\u975e\u9f50\u6b21\u591a\u9879\u5f0f\u6838\u683c\u5170\u6770\u56e0\u679c<\/span>\uff08MKGC\uff09<\/span>\u6765\u6784\u5efa\u6709\u5411\u52a0\u6743\u7f51\u7edc\uff0c\u6765\u8868\u5f81\u7cbe\u795e\u5206\u88c2\u75c7\u60a3\u8005\u7684\u8111\u78c1\u56fe\u7279\u5f81<\/span>\uff08MEG\uff09<\/span>\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4f5c\u8005\u9996\u5148\u57fa\u4e8e\u8026\u5408\u81ea\u56de\u5f52\u8fc7\u7a0b\u751f\u6210\u6570\u636e\uff0c\u5e76\u4e0e\u4e8c\u5143\u7ebf\u6027\u683c\u5170\u6770\u56e0\u679c\u548c\u4e8c\u5143\u975e\u9f50\u6b21\u591a\u9879\u5f0f\u6838\u683c\u5170\u6770\u56e0\u679c\u65b9\u6cd5\u8fdb\u884c\u6bd4\u8f83\uff0c\u68c0\u9a8cMKGC\u65b9\u6cd5\u7684\u6709\u6548\u6027\u3002\u6d4b\u8bd5\u7ed3\u679c\u8868\u660e\uff0cMKGC\u4f18\u4e8e\u5176\u4ed6\u4e24\u79cd\u65b9\u6cd5\uff0c\u5177\u6709\u66f4\u597d\u7684\u975e\u7ebf\u6027\u8868\u5f81\u80fd\u529b\u3002\u968f\u540e\uff0c\u4f5c\u8005\u5c06MKGC\u65b9\u6cd5\u5e94\u7528\u4e8e\u6784\u5efa\u7cbe\u795e\u5206\u88c2\u75c7<\/span>\uff08SCZs\uff09<\/span>\u60a3\u8005\u7684\u6709\u6548\u8fde\u63a5\u7f51\u7edc\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4f5c\u8005\u6d4b\u91cf\u4e86\u4e09\u4e2a\u7f51\u7edc\u7279\u5f81\uff0c\u5373\u5f3a\u5ea6\u3001\u975e\u5747\u8861\u6027\u548c\u590d\u6742\u6027\uff0c\u6765\u8868\u5f81\u7cbe\u795e\u5206\u88c2\u75c7\u7684 MEG\u3002\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u76f8\u6bd4\u7cbe\u795e\u5206\u88c2\u75c7\u60a3\u8005\uff0c\u5065\u5eb7\u5bf9\u7167 <\/span>(HCs) <\/span>\u5177\u6709\u66f4\u5bc6\u96c6\u7684\u6709\u6548\u8fde\u63a5\u7f51\u7edc\u3002\u5728\u8fde\u63a5\u5f3a\u5ea6\u65b9\u9762\uff0c\u6700\u663e\u8457\u7684\u5dee\u5f02\u51fa\u73b0\u5728\u53f3\u4fa7\u989d\u53f6\u7f51\u7edc (p = 0.001)\u3002\u6240\u6709\u53d7\u8bd5\u8005\u7684\u5916\u8fde\u901a\u6027\u6700\u5f3a\u53d1\u751f\u5728\u989e\u533a\uff0c\u7ec4\u95f4\u5dee\u5f02\u6700\u663e\u8457\u7684\u662f\u5de6\u6795\u533a (p = 0.0018)\u3002\u5065\u5eb7\u5bf9\u7167\u7ec4\u7684\u5927\u8111\u76ae\u5c42\u7684\u989d\u53f6\u533a\u3001\u989e\u53f6\u533a\u548c\u6795\u53f6\u533a\u7684\u603b\u8fde\u901a\u6027\u5f3a\u5ea6\u9ad8\u4e8e\u7cbe\u795e\u5206\u88c2\u75c7\u60a3\u8005\u3002SCZs\u60a3\u8005\u7684\u5168\u8111\u975e\u5e73\u8861\u7279\u5f81\u663e\u8457\u9ad8\u4e8eHCs\u7ec4 (p = 0.012)\uff1b\u7136\u800c\uff0c\u9999\u519c\u71b5\u7684\u7ed3\u679c\u8868\u660e\uff0c\u5065\u5eb7\u5bf9\u7167\u7ec4\u7f51\u7edc\u6bd4\u7cbe\u795e\u5206\u88c2\u75c7\u60a3\u8005\u7684\u5177\u6709\u66f4\u9ad8\u7684\u590d\u6742\u6027\u3002<\/span><\/section>\n

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\u603b\u4e4b\uff0c\u7ed3\u679c\u8868\u660eSCZs\u5bf9\u5927\u8111\u7f51\u7edc\u7684\u76f8\u4e92\u4f5c\u7528\u6709\u8d1f\u9762\u5f71\u54cd\uff0c\u57fa\u4e8eMKGC\u7684\u7f51\u7edc\u5206\u6790\u65b9\u6cd5\u53ef\u4ee5\u4e3a\u8bc6\u522bSCZs\u8111\u7f51\u7edc\u7684\u52a8\u6001\u7ed3\u6784\u548c\u63a2\u8ba8SCZs\u7684\u75c5\u7406\u751f\u7406\u673a\u5236\u63d0\u4f9b\u53ef\u9760\u7684\u65b9\u6cd5\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n

\u56fe1. \u5065\u5eb7\u5bf9\u7167\u7ec4HCs (a) \u548c\u7cbe\u795e\u5206\u88c2\u75c7\u60a3\u8005SCZs (b) \u5728\u8111\u533a\u5c42\u9762\u7684\u6709\u6548\u8fde\u901a\u6027\u7f51\u7edc\u3002\u56fe\u4e2d\u8282\u70b9\u8868\u793a14\u4e2a\u8111\u533a\uff0c\u8282\u70b9\u95f4\u7684\u8fde\u63a5\u8868\u793a\u8111\u533a\u95f4\u56e0\u679c\u5173\u7cfb\uff0c\u7bad\u5934\u8868\u793a\u8fde\u63a5\u7684\u65b9\u5411\u3002<\/span><\/p>\n


<\/span><\/section>\n
<\/section>\n

\u56fe2. \u5927\u8111\u533a\u57df\u4e4b\u95f4\u7684\u603b\u8fde\u901a\u6027\uff08total connectivity\uff09\u3002\u53ef\u4ee5\u770b\u5230\u4e0d\u540c\u5927\u8111\u533a\u57df\u7684\u603b\u8fde\u901a\u6027\u5f3a\u5ea6\u5dee\u5f02\u5de8\u5927\uff08d\uff09\u3002<\/span><\/p>\n


<\/section>\n

<\/section>\n
\n
\n
\n
\n

\u65b0\u4fe1\u606f\u8bba\uff1a\u4ece\u5206\u89e3\u5230\u6574\u5408<\/strong><\/p>\n

\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u56db\u5b63\u62db\u52df\u4e2d<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/section>\n
\u4ec0\u4e48\u662f\u610f\u8bc6\uff1f\u610f\u8bc6\u80fd\u5426\u5ea6\u91cf\uff1f\u673a\u5668\u80fd\u5426\u4ea7\u751f\u610f\u8bc6\uff1f\u5bf9\u4e8e\u610f\u8bc6\u95ee\u9898\uff0c\u4eba\u4eec\u53ef\u80fd\u5373\u5c06\u8fce\u6765\u4e00\u4e2a\u5927\u7684\u7a81\u7834\uff0c\u5404\u79cd\u6709\u5173\u610f\u8bc6\u7684\u7406\u8bba\u6b63\u5982\u96e8\u540e\u6625\u7b0b\u822c\u5c55\u73b0\u51fa\u52c3\u52c3\u751f\u673a\u3002\u5176\u4e2d\u795e\u7ecf\u79d1\u5b66\u5bb6 Giulio Tononi \u7684\u6574\u5408\u4fe1\u606f\u8bba\uff08IID\uff09\u88ab\u8ba4\u4e3a\u662f\u6700\u6709\u524d\u666f\u7684\u610f\u8bc6\u7406\u8bba\u4e4b\u4e00\u3002\u5982\u679c\u8bf4\u610f\u8bc6\u662f\u5927\u8111\u795e\u7ecf\u6d3b\u52a8\u7684\u4e00\u79cd\u6d8c\u73b0\u7ed3\u679c\uff0c\u90a3\u4e48\u523b\u753b\u6d8c\u73b0\u4fbf\u6210\u4e3a\u7406\u89e3\u610f\u8bc6\u8fc7\u7a0b\u4e2d\u4e00\u4e2a\u91cd\u8981\u73af\u8282\u3002\u56e0\u679c\u6d8c\u73b0\u7406\u8bba\u76ee\u524d\u53d1\u5c55\u51fa\u4e24\u4e2a\u6d3e\u522b\uff0c\u9664\u4e86 Erik Hoel \u7684\u6709\u6548\u4fe1\u606f\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\uff0c\u8fd8\u6709\u4e00\u4e2a\u662f Rosas \u7684\u4fe1\u606f\u5206\u89e3\uff08PID\uff09\u6846\u67b6\uff0c\u6b64\u540e Rosas \u57fa\u4e8e\u6b64\u8fdb\u4e00\u6b65\u63d0\u51fa\u878d\u5408\u6574\u5408\u4fe1\u606f\u8bba\u7684\u4fe1\u606f\u5206\u89e3\u6846\u67b6 \u03a6ID\uff0c\u5c1d\u8bd5\u6784\u5efa\u65b0\u7684\u610f\u8bc6\u7406\u8bba\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e00\u8fb9\u662f\u4fe1\u606f\u6574\u5408\uff08IIT\uff09\uff0c\u4e00\u8fb9\u662f\u4fe1\u606f\u5206\u89e3\uff08PID\uff09\uff0c\u770b\u4f3c\u5206\u88c2\uff0c\u5b9e\u9645\u4e0a\u90fd\u662f\u5bf9\u9999\u519c\u7ecf\u5178\u4fe1\u606f\u8bba\u7684\u8fdb\u4e00\u6b65\u53d1\u5c55\u3002\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u56db\u5b63\u300c\u65b0\u4fe1\u606f\u8bba\uff1a\u4ece\u5206\u89e3\u5230\u6574\u5408<\/a>\u300d\u7531\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u6559\u6388\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u521b\u59cb\u4eba\u5f20\u6c5f\u8001\u5e08\u9886\u8854\u53d1\u8d77\uff0c\u65e8\u5728\u68b3\u7406\u4fe1\u606f\u8bba\u9886\u57df\u7684\u53d1\u5c55\u8109\u7edc\uff0c\u4ece\u9999\u519c\u7684\u7ecf\u5178\u4fe1\u606f\u8bba\u5f00\u59cb\uff0c\u91cd\u70b9\u5173\u6ce8\u6574\u5408\u4fe1\u606f\u8bba\u548c\u4fe1\u606f\u5206\u89e3\u8fd9\u4e24\u4e2a\u524d\u6cbf\u8bdd\u9898\uff0c\u53ca\u5176\u5728\u4ea4\u53c9\u9886\u57df\u7684\u5e94\u7528\u3002\u5e0c\u671b\u901a\u8fc7\u5bf9\u8fd9\u4e9b\u201c\u65b0\u4fe1\u606f\u8bba\u201d\u5ea6\u91cf\u6307\u6807\u7684\u6df1\u5165\u63a2\u8ba8\uff0c\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4ec0\u4e48\u662f\u610f\u8bc6\uff0c\u4ec0\u4e48\u662f\u6d8c\u73b0\uff0c\u5e76\u627e\u5230\u4e0d\u540c\u5b66\u79d1\uff0c\u4e0d\u540c\u95ee\u9898\u80cc\u540e\u7684\u7edf\u4e00\u6027\u539f\u7406\u3002<\/span><\/section>\n

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<\/span><\/a><\/section>\n

<\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u65b0\u4fe1\u606f\u8bba\uff1a\u4ece\u5206\u89e3\u5230\u6574\u5408\uff5c\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u56db\u5b63\u542f\u52a8<\/a><\/span>
<\/span><\/section>\n

<\/section>\n

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

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u5982\u4f55\u4ece\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\u7684\u539f\u59cb\u6570\u636e\u4e2d\u53d1\u73b0\u9519\u7efc\u590d\u6742\u7684\u56e0\u679c\u7ed3\u6784\u5e76\u8bc6\u522b\u56e0\u679c\u6d8c\u73b0\uff1f\u5982\u4f55\u5229\u7528\u56e0\u679c\u673a\u5236\u63a8\u65ad\u7cfb\u7edf\u672a\u6765\u7684\u72b6\u6001\u548c\u6f14\u5316\uff1f\u673a\u5668\u5b66\u4e60\u3001\u4e92\u4fe1\u606f\u5206\u89e3\u3001\u56e0\u679c\u63a8\u65ad\u7b49\u65b0\u5174\u6280\u672f\u5c06\u4e3a\u6211\u4eec\u63d0\u4f9b\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002\u7531\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5f20\u6c5f\u6559\u6388\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u5b66\u9662\u5d14\u9e4f\u526f\u6559\u6388\uff0c\u4ee5\u53ca\u745e\u5178\u5361\u7f57\u7433\u65af\u5361\u533b\u5b66\u9662\u9ad8\u7ea7\u7814\u7a76\u5458 Hector…<\/p>\n","protected":false},"author":0,"featured_media":46139,"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\/46157"}],"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=46157"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/46157\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/46139"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=46157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=46157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=46157"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=46157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}