{"id":53244,"date":"2024-10-22T20:11:04","date_gmt":"2024-10-22T12:11:04","guid":{"rendered":"https:\/\/swarma.org\/?p=53244"},"modified":"2024-10-22T20:11:04","modified_gmt":"2024-10-22T12:11:04","slug":"%e4%bd%a0%e5%92%8cchatgpt%e7%90%86%e8%a7%a3%e8%af%ad%e8%a8%80%e7%9a%84%e6%96%b9%e5%bc%8f%e4%b8%80%e6%a0%b7%e5%90%97%ef%bc%9f%e4%bb%8e%e8%a1%a8%e5%be%81%e5%af%b9%e9%bd%90%e8%a7%92%e5%ba%a6%e6%af%94","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=53244","title":{"rendered":"\u4f60\u548cChatGPT\u7406\u89e3\u8bed\u8a00\u7684\u65b9\u5f0f\u4e00\u6837\u5417\uff1f\u4ece\u8868\u5f81\u5bf9\u9f50\u89d2\u5ea6\u6bd4\u8f83\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e0e\u751f\u7269\u5927\u8111"},"content":{"rendered":"
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ChatGPT \u7406\u89e3\u8bed\u8a00\u7684\u65b9\u5f0f\u548c\u4eba\u7c7b\u4e00\u6837\u5417\uff1f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u4eba\u8111\u89c6\u89c9\u7cfb\u7edf\u7684\u8868\u5f81\u6709\u54ea\u4e9b\u7c7b\u4f3c\u4e4b\u5904\uff1f\u4e0d\u540c\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u4e4b\u95f4\u7684\u5dee\u5f02\u8981\u5982\u4f55\u5b9a\u91cf\u523b\u753b\uff1f\u672c\u6587\u4ecb\u7ecd\u4e86\u8868\u5f81\u5bf9\u9f50\uff08Representational Alignment\uff09<\/span><\/strong>\u8fd9\u4e2a\u8de8\u8d8a\u8ba4\u77e5\u79d1\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u7684\u901a\u7528\u6846\u67b6\uff0c<\/span><\/strong><\/span><\/strong><\/section>\n
\u5e76\u5c1d\u8bd5\u4ece\u8868\u5f81\u5bf9\u9f50\u8fd9\u4e2a\u89d2\u5ea6\u63a2\u8ba8\u4eba\u5de5\u667a\u80fd\u548c\u751f\u7269\u667a\u80fd\u4e4b\u95f4\u7684\u5dee\u5f02\u3002\u6587\u7ae0\u4e3b\u8981\u4ecb\u7ecd\u4e86\u8868\u5f81\u5bf9\u9f50\u662f\u4ec0\u4e48\uff0c\u8868\u5f81\u5bf9\u9f50\u7684\u5177\u4f53\u6b65\u9aa4\uff0c\u8868\u5f81\u5bf9\u9f50\u6240\u9762\u4e34\u7684\u4e3b\u8981\u6280\u672f\u95ee\u9898\uff0c\u4ee5\u53ca\u8868\u5f81\u5bf9\u9f50\u7684\u91cd\u8981\u6027\u3002<\/span><\/strong><\/section>\n

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\u8363\u82f1\u6dc7<\/span> <\/span>| \u8bd1\u8ff0<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/p>\n

Raj Magesh<\/span> <\/span>| \u8ba8\u8bba<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/p>\n

\u9648\u5b50\u777f, \u6c88\u6cf0\u6765, \u738b\u5fd7\u9e4f<\/span> <\/span>| <\/span><\/strong><\/span><\/strong><\/span>\u5ba1\u6821<\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/p>\n

\u6881\u91d1<\/span> <\/span>| \u7f16\u8f91<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/p>\n


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        \u4ee5\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e3a\u6838\u5fc3\u6846\u67b6\u7684\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd<\/span>\uff08AI\uff09<\/span>\u6d6a\u6f6e\u5e2d\u5377\u6574\u4e2a\u793e\u4f1a\uff1a\u4ece Alexnet\u3001AlphaGo\u3001AlphaFold \u5230 ChatGPT\uff0c\u81ea\u52a8\u9a7e\u9a76\u51fa\u79df\u8f66\uff0c\u80fd\u751f\u6210\u56fe\u50cf\u6216\u89c6\u9891\u7684\u5e73\u53f0\uff0c\u79d1\u6280\u5de8\u5934\u8ffd\u6367\u7684\u5927\u8bed\u8a00\u6a21\u578b…… \u5bf9\u79d1\u5b66\u754c\u6765\u8bf4\uff0c\u4e00\u4e2a\u6700\u76f4\u89c2\u7684\u4f53\u9a8c\u53ef\u80fd\u662f\u4eca\u5e74\u7684\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u548c\u5316\u5b66\u5956\u90fd\u9881\u7ed9\u4e86\u4eba\u5de5\u667a\u80fd\u65b9\u5411<\/span>\uff0c\u6d89\u53ca\u5230 Science for AI \u548c AI for Science \u8fd9\u4e24\u4e2a\u70ed\u95e8\u65b9\u5411\u3002\uff08\u8bf7\u89c1\u300a<\/span>2024\u5e74\u7269\u7406\u8bfa\u5956\u6388\u4e88\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff1a\u7edf\u8ba1\u7269\u7406\u5f15\u53d1\u7684\u673a\u5668\u5b66\u4e60\u9769\u547d<\/a>\u300b\u548c\u300a<\/span>2024\u5e74\u8bfa\u8d1d\u5c14\u5316\u5b66\u5956\u6388\u4e88 AlphaFold\uff1a\u5f00\u542f AI+Science \u65b0\u7eaa\u5143\uff01<\/a>\u300b\uff09<\/span><\/span><\/section>\n

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        \u5728\u4eba\u5de5\u667a\u80fd\u7684\u53e6\u4e00\u9762\uff0c\u4eba\u7c7b\u5bf9\u751f\u7269\u667a\u80fd<\/strong><\/span>\uff08Natural Intelligence\uff09<\/span>\u7684\u63a2\u7d22\u4e5f\u4ece\u672a\u505c\u6b47\u3002\u6211\u4eec\u8be5\u5982\u4f55\u7406\u89e3\u201c\u4eba\u4f1a\u601d\u8003\u201d\u8fd9\u4ef6\u4e8b\uff1f\u5927\u8111\u5982\u4f55\u5b66\u4e60\u65b0\u77e5\u8bc6\uff1f\u6211\u4eec\u5982\u4f55\u8ba9\u81ea\u5df1\u5728\u5b66\u4e60\u91cc\u6709\u66f4\u597d\u7684\u8868\u73b0\uff1f\u4e3a\u4ec0\u4e48\u6211\u4eec\u80fd\u591f\u8f7b\u6613\u5730\u505a\u5230\u4e16\u754c\u4e0a\u6700\u5148\u8fdb\u673a\u5668\u4eba\u90fd\u4e0d\u80fd\u5b8c\u6210\u7684\u7cbe\u7ec6\u52a8\u4f5c\uff1f<\/span><\/section>\n

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        \u8fd9\u7bc7\u6587\u7ae0\u5c06\u4ece\u8868\u5f81\u5bf9\u9f50<\/strong><\/span>\uff08Representational Alignment\uff09<\/span>\u8fd9\u4e2a\u65b9\u5411\u63a2\u8ba8\u4eba\u5de5\u667a\u80fd\u548c\u751f\u7269\u667a\u80fd\u7684\u4e00\u4e9b\u5dee\u5f02\u3002\u6211\u4eec\u8be5\u5982\u4f55\u7406\u89e3\u8fd9\u4e24\u79cd\u4e0d\u540c\u7684\u4fe1\u606f\u5904\u7406\u7cfb\u7edf<\/span>\uff08Information-Processing System\uff09<\/span>\u5982\u4f55\u63a5\u53d7\u548c\u5904\u7406\u5916\u90e8<\/span>\u523a\u6fc0\uff0c\u7136\u540e\u53bb\u6267\u884c\u5404\u79cd\u4efb\u52a1\u5462\uff1f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548c\u751f\u7269\u5927\u8111\u4e4b\u95f4\u662f\u4ee5\u540c\u79cd\u65b9\u5f0f\u5904\u7406\u6216\u52a0\u5de5\u4fe1\u606f\u5417\uff1f\u6bd4\u5982\uff0c\u540c\u6837\u662f\u8bc6\u522b\u4eba\u8138\uff0c\u4eba\u548c\u4eba\u8138\u8bc6\u522b\u8f6f\u4ef6\u5904\u7406\u4eba\u8138\u56fe\u50cf\u7684\u673a\u5236\u4e00\u6837\u5417\uff1f\u540c\u6837\u662f\u9605\u8bfb\u6587\u7ae0\uff0c\u4eba\u548cChatGPT\u5bf9\u8bed\u8a00\u7684\u5904\u7406\u662f\u4e00\u6837\u7684\u5417\uff1f\u66f4\u5e7f\u4e49\u800c\u8a00\uff0c\u8fd9\u91cc\u4e24\u79cd\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u53ef\u4ee5\u662f\u4e24\u4e2a\u4e0d\u540c\u7684\u4eba\uff0c\u4e24\u4e2a\u4e0d\u540c\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u6216\u8005\u662f\u5176\u4ed6\u6267\u884c\u540c\u6837\u4efb\u52a1\u7684\u8ba1\u7b97\u6a21\u578b<\/strong>\u3002<\/span><\/section>\n

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        \u8fd9\u7bc7\u6587\u7ae0\u5c06\u6574\u7406\u90e8\u5206\u6587\u7ae0\u5bf9\u8fd9\u4e9b\u95ee\u9898\u8fdb\u884c\u7b80\u8ff0\uff0c\u6848\u4f8b\u5219\u5927\u591a\u6765\u6e90\u4e8e\u89c6\u89c9\u76f8\u5173\u7814\u7a76\uff0c\u6240\u4ee5\u53ea\u80fd\u4f5c\u4e3a\u4e00\u4e2a\u7b80\u5355\u7684\u5f15\u5b50\uff0c\u5982\u679c\u60f3\u8981\u66f4\u8be6\u7ec6\u63a2\u7d22\u7684\u8001\u5e08\u540c\u5b66\uff0c\u6b22\u8fce\u76f4\u63a5\u53c2\u9605\u53c2\u8003\u6587\u732e\u3002<\/span><\/section>\n

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        \u6587\u7ae0\u9898\u76ee\uff1aCan an emerging field called \u2018neural systems understanding\u2019 explain the brain?<\/span><\/section>\n
        \u6587\u7ae0\u94fe\u63a5\uff1ahttps:\/\/www.thetransmitter.org\/neural-networks\/can-an-emerging-field-called-neural-systems-understanding-explain-the-brain\/<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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        \u6ce81\uff1a\u6709\u4e9b\u7814\u7a76\u8005\u5ba3\u79f0\u8868\u5f81\u4e00\u5b9a\u8981\u6709\u660e\u786e\u7684\u7269\u7406\u6216\u529f\u80fd\u542b\u4e49\uff0c\u4f46\u6709\u4e9b\u7814\u7a76\u8005\u8ba4\u4e3a\u8868\u5f81\u4e0d\u5177\u6709\u5177\u4f53\u542b\u4e49\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u7528\u4e00\u4e2a\u9ad8\u7ef4\u77e2\u91cf\uff0c\u77e9\u9635\u6216\u5f20\u91cf\u6765\u8868\u793a\u5373\u53ef\u3002\u5728\u540e\u6587\u6240\u9610\u8ff0\u7684\u5bf9\u9f50\u80cc\u666f\u4e0b\uff0c\u6211\u4eec\u5f80\u5f80\u91c7\u7eb3\u540e\u8005\u7684\u5b9a\u4e49\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n

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        \u4e86\u89e3\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u670b\u53cb\u4f1a\u53d1\u73b0\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5c24\u5176\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/strong><\/span>\uff08Convolutional Neural Network, CNN\uff09<\/span>\u5728\u89c6\u89c9\u4efb\u52a1\u4e2d\u6709\u7c7b\u4f3c\u7684\u5904\u7406\u673a\u5236<\/span>\uff08\u8fd9\u4e5f\u662f\u53d7\u4e86\u4eba\u8111\u521d\u7ea7\u89c6\u89c9\u7cfb\u7edf\u7684\u542f\u53d1\uff09<\/span>[4]\u3002\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u524d\u5c42\u5927\u90e8\u5206\u662f\u901a\u8fc7\u5377\u79ef\u64cd\u4f5c\u6765\u5b8c\u6210\u7c7b\u4f3c\u4e8e\u8fb9\u754c\u63a2\u6d4b\u7684\u529f\u80fd\uff0c\u8fdb\u800c\u5bf9\u56fe\u50cf\u7684\u521d\u7ea7\u4fe1\u606f\u8fdb\u884c\u8868\u5f81\uff0c\u800c\u540e\u5c42\u5219\u4f1a\u51fa\u73b0\u4e00\u4e9b\u66f4\u62bd\u8c61\u548c\u96be\u4ee5\u7406\u89e3\u7684\u8868\u5f81<\/span>\uff08\u89c1\u56fe1\uff09<\/span>\u3002\u8fd9\u65f6\u5019\uff0c\u81ea\u7136\u800c\u7136\u4f1a\u51fa\u73b0\u4e00\u4e2a\u95ee\u9898\uff0c\u5f53\u6211\u4eec\u76f4\u89c2\u4e0a\u4e86\u89e3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u4eba\u8111\u89c6\u89c9\u7cfb\u7edf\u7684\u8868\u5f81\u6709\u7c7b\u4f3c\u4e4b\u5904\uff0c\u8be5\u5982\u4f55\u7528\u5b9a\u91cf\u65b9\u6cd5\u53bb\u8861\u91cf\u8fd9\u79cd\u76f8\u4f3c\u7a0b\u5ea6\u5462<\/strong>\uff1f\u8fd9\u5c31\u662f\u5c5e\u4e8e\u8868\u5f81\u5bf9\u9f50\u5927\u6846\u67b6\u4e0b\u7684\u76f8\u5173\u5de5\u4f5c\u3002<\/span><\/section>\n

        <\/section>\n
        \u63a5\u4e0b\u6765\u8ba9\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e00\u4e0b\u8868\u5f81\u5bf9\u9f50\u5927\u6846\u67b6\u4e0b\u7684\u57fa\u672c\u6b65\u9aa4\uff0c\u7136\u540e\u63d0\u4f9b\u4e00\u4e2a\u76f8\u5bf9\u66f4\u5e7f\u4e49\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc<\/span>\uff08\u542b\u4e0d\u540c\u67b6\u6784\uff0c\u4e0d\u540c\u8bad\u7ec3\u4efb\u52a1\uff0c\u4ee5\u53ca\u5728\u4e0d\u540c\u7684\u8bad\u7ec3\u96c6\u8bad\u7ec3\uff09<\/span>\u4e0e\u4eba\u8111\u89c6\u89c9\u7cfb\u7edf\u5bf9\u6bd4\u7684\u6848\u4f8b\u3002<\/span><\/section>\n

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

        \u56fe1: \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5bf9\u56fe\u50cf\u7684\u8868\u5f81\u7684\u4e00\u4e2a\u6848\u4f8b\u3002\u6211\u4eec\u53ef\u4ee5\u53d1\u73b0\u5176\u7b2c\u4e00\u5c42\u7684\u8868\u5f81\u5177\u6709\u53ef\u89e3\u91ca\u6027\uff0c\u53ef\u4ee5\u660e\u663e\u770b\u5230\u732b\u7684\u8f6e\u5ed3\u4e4b\u7c7b\u7684\u56fe\u50cf\uff0c\u800c\u5728\u7b2c\u5341\u5c42\u5219\u4f1a\u53d8\u5f97\u66f4\u52a0\u96be\u4ee5\u89e3\u91ca\u3002\u5176\u4e2d\u524d\u5c42\u7684\u529f\u80fd\u662f\u548c\u5982V1\u4e4b\u7c7b\u7684\u521d\u7ea7\u89c6\u89c9\u533a\u7c7b\u4f3c\u3002\uff5c\u56fe\u6e90\uff1a<\/span>What Is ChatGPT Doing \u2026 and Why Does It Work?\u2014Stephen Wolfram Writings<\/span><\/p>\n


        <\/section>\n

        <\/section>\n

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

        3. \u8868\u5f81\u5bf9\u9f50\u662f\u4ec0\u4e48\uff1f<\/strong><\/span><\/strong><\/strong><\/p>\n

        \u4e00\u4e2a<\/strong><\/span><\/strong><\/strong>\u8de8\u8ba4\u77e5\u79d1\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u7684\u901a\u7528\u6846\u67b6<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

        \n

        <\/section>\n

        <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


        <\/p>\n

        a. \u8868\u5f81\u5bf9\u9f50\u7684\u5177\u4f53\u6b65\u9aa4\u53ca\u91cd\u8981\u5143\u7d20[5]\uff08\u89c1\u56fe2\uff09<\/strong><\/span><\/h2>\n


        <\/p>\n

        <\/section>\n

        \u56fe2\uff1a\u8868\u5f81\u5bf9\u9f50\u7684\u57fa\u672c\u6b65\u9aa4\u548c\u6311\u6218\u3002\u65e0\u8bba\u8ba8\u8bba\u8ba4\u77e5\u79d1\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u8fd8\u662f\u673a\u5668\u5b66\u4e60\u4e0b\u7684\u8868\u5f81\u5bf9\u9f50\uff0c\u5927\u4f53\u8131\u4e0d\u4e86\u8fd9\u4e2a\u62bd\u8c61\u6846\u67b6\u3002\u5176\u4e2d\u6bcf\u4e2a\u5b9e\u7bad\u5934\u6240\u5bf9\u5e94\u7684\u51fd\u6570\u90fd\u4ee3\u8868\u4e00\u79cd\u7edf\u8ba1\u4e0a\u7684\u53ef\u80fd\u64cd\u4f5c\u548c\u9009\u62e9\uff0c\u865a\u7bad\u5934\u6307\u5411\u7684\u662f\u8868\u5f81\u5bf9\u9f50\u6240\u9762\u4e34\u7684\u6280\u672f\u95ee\u9898\u3002\uff5c\u56fe\u6e90[5]\u3002<\/span><\/p>\n


        <\/strong><\/span><\/section>\n
        \uff081\uff09\u5bf9\u9f50\u6240\u4f7f\u7528\u7684\u6570\u636e\uff08Data\uff09<\/strong>\u3002\u5bf9\u4e8e\u4efb\u4f55\u5916\u90e8\u523a\u6fc0<\/span>\uff08Stimuli\uff09<\/span>\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u91c7\u6837\u5176\u4e2d\u6709\u9650\u4e2a\u70b9\u6765\u5f62\u6210\u5b50\u96c6\u4f5c\u4e3a\u6570\u636e\u53bb\u505a\u5bf9\u9f50\u3002\u6bd4\u5982\uff0c\u5bf9\u4e8e\u65e0\u9650\u7684\u50cf\u7d20\u7ec4\u5408\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u5176\u4e2d\u9009\u53d6\u4e00\u4e9b\u4e0e\u7814\u7a76\u95ee\u9898\u76f8\u5173\u7684\u56fe\u50cf\u96c6\u5408\uff1b<\/span><\/section>\n

        <\/section>\n
        \uff082\uff09\u5bf9\u9f50\u6240\u9009\u53d6\u7684\u7cfb\u7edf\uff08System\uff09<\/strong>\u3002\u5f53\u7cfb\u7edf\u63a5\u6536\u5230\u5bf9\u9f50\u4f7f\u7528\u7684\u6570\u636e\uff0c\u5176\u4f1a\u76f8\u5e94\u5730\u5bf9\u6570\u636e\u4ea7\u751f\u5185\u5728\u8868\u5f81<\/strong><\/span>\uff08Internal Representation\uff09<\/span>\u3002\u6bd4\u5982\uff0c\u5c06\u56fe\u50cf\u8f93\u5165\u67d0\u7c7b\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e2d\u6216\u5c55\u793a\u7ed9\u5b9e\u9a8c\u4eba\u5458\u540e\uff0c\u795e\u7ecf\u7f51\u7edc\u6574\u4f53\u4e0a\u5bf9\u56fe\u50cf\u7684\u54cd\u5e94\uff0c\u4eba\u8111\u89c6\u89c9\u76ae\u5c42\u5bf9\u56fe\u50cf\u7684\u5185\u5728\u8868\u5f81\uff1b<\/span><\/section>\n

        <\/section>\n
        \uff083\uff09\u5bf9\u7cfb\u7edf\u5185\u5728\u8868\u5f81\u7684\u6d4b\u5ea6\uff08Measurements\uff09<\/strong>\u3002\u6211\u4eec\u9700\u8981\u6253\u5f00\u7cfb\u7edf\u5bf9\u5176\u5185\u5728\u8868\u5f81\u8fdb\u884c\u6d4b\u5ea6\u3002\u6bd4\u5982\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5355\u72ec\u4e00\u5c42\u7684\u6fc0\u6d3b\uff0c\u7528\u6838\u78c1\u5171\u632f<\/span>\uff08functional Magnetic Resonance Imaging, fMRI\uff09<\/span>\u53bb\u8861\u91cf\u89c6\u89c9\u76ae\u5c42\u7684\u54cd\u5e94\u3002\u6216\u8005\u6211\u4eec\u76f4\u63a5\u5e0c\u671b\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6216\u5b9e\u9a8c\u4eba\u5458\u57fa\u4e8e\u56fe\u50cf\u505a\u51fa\u884c\u4e3a\u51b3\u7b56 [6-7]<\/span>\uff08\u8fd9\u7bc7\u6587\u7ae0\u6ca1\u6709\u5305\u542b\u4e0d\u540c\u7cfb\u7edf\u5728\u884c\u4e3a\u8868\u5f81\u7684\u5bf9\u9f50\uff0c\u611f\u5174\u8da3\u7684\u670b\u53cb\u53ef\u4ee5\u7ffb\u770b\u6b64\u5904\u7684\u5f15\u7528\uff0c\u4e0e\u89c6\u89c9\u6216\u8bed\u8a00\u8868\u5f81\u7684\u53ef\u89e3\u91ca\u6027\u66f4\u9ad8\u5ea6\u5173\u8054\uff0c\u6216\u8005\u56de\u987e[5]\u4f1a\u6709\u66f4\u591a\u4e0d\u540c\u5b50\u9886\u57df\u7684\u6848\u4f8b\uff09<\/span>\uff1b<\/span><\/section>\n

        <\/section>\n
        \uff084\uff09\u4ece\u6d4b\u5ea6\u53d8\u6210\u5d4c\u5165\uff08Embeddings\uff09<\/strong>\u3002\u8fdb\u884c\u6d4b\u5ea6\u540e\uff0c\u6211\u4eec\u8fd8\u9700\u8981\u5c06\u5176\u6295\u5c04\u4e8e\u9ad8\u7ef4\u8fde\u7eed\u77e2\u91cf\u7a7a\u95f4\u4ee5\u5f62\u6210\u5d4c\u5165\uff0c\u8fd9\u4e9b\u5d4c\u5165\u53ef\u80fd\u4f1a\u6709\u66f4\u9ad8\u7684\u4fe1\u566a\u6bd4\uff0c\u6216\u8005\u56e0\u4e3a\u4e00\u4e9b\u5de5\u7a0b\u95ee\u9898\u6211\u4eec\u9700\u8981\u8fdb\u884c\u8fd9\u4efd\u64cd\u4f5c<\/span>\uff08\u6bd4\u5982\u8ba1\u7b97\u8d44\u6e90\u6709\u9650\u7684\u65f6\u5019\u9700\u8981\u8fdb\u884c\u964d\u7ef4\uff09<\/span>\u6765\u8fdb\u884c\u5bf9\u9f50\u7684\u5de5\u4f5c\u3002\u6bd4\u5982\uff0c\u5bf9\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u6fc0\u6d3b\u6216\u8111\u6570\u636e\u8fdb\u884c\u964d\u7ef4\uff0c\u5c06\u79bb\u6563\u7684\u5206\u7c7b\u6570\u636e\u901a\u8fc7\u7b97\u6cd5\u6620\u5c04\u5230\u9ad8\u7ef4\u77e2\u91cf\uff1b<\/span><\/section>\n

        <\/section>\n
        (5) \u7528\u6765\u8861\u91cf\u5d4c\u5165\u4e4b\u95f4\u5bf9\u9f50\u5ea6\u6240\u9009\u53d6\u7684\u5bf9\u9f50\u51fd\u6570\uff08Alignment Function\uff09<\/strong>\u3002\u5c06\u5f97\u5230\u7684\u5d4c\u5165\u901a\u8fc7\u5bf9\u9f50\u51fd\u6570\u8fdb\u884c\u5bf9\u6bd4\uff0c\u5f97\u5230\u76f8\u5173\u6570\u503c\u3002\u6bd4\u5982\uff0c\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u5e38\u7528\u7684 CKA<\/span>\uff08Centered Kernel Analysis\uff09<\/span>\u53bb\u8861\u91cf\u6a21\u578b\u8868\u5f81\u7684\u76f8\u4f3c\u5ea6[8]\u3002<\/span><\/section>\n

        <\/section>\n

        b. \u4ece\u6848\u4f8b\u4e86\u89e3\u5177\u4f53\u6b65\u9aa4\uff08\u89c1\u56fe3\uff09<\/span><\/strong><\/span><\/h2>\n

        <\/span><\/section>\n
        \u5728[9]\u4e2d\u7814\u7a76\u8005\u53d1\u73b0\uff0c\u7315\u7334\u7684\u521d\u7ea7\u89c6\u89c9\u533a\u7684\u795e\u7ecf\u6d3b\u52a8\u80fd\u591f\u88ab\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u524d\u5c42\u66f4\u597d\u5730\u9884\u6d4b\uff0c\u800c\u9ad8\u7ea7\u89c6\u89c9\u533a\u7684\u6d3b\u52a8\u5219\u80fd\u591f\u88ab\u540e\u5c42\u9884\u6d4b\uff1b\u4e14\u76f8\u6bd4\u4e8e\u4e4b\u524d\u5f88\u591a\u8bbe\u8ba1\u51fa\u6765\u4e13\u95e8\u9884\u6d4b\u5927\u8111\u8868\u5f81\u7684\u8ba1\u7b97\u6a21\u578b\uff0c\u81ea\u4e0b\u800c\u4e0a\u8bad\u7ec3\u51fa\u6765\u53ea\u7528\u6765\u5206\u7c7b\u56fe\u50cf\u7684\u6a21\u578b\u5bf9\u5927\u8111\u8868\u5f81\u7684\u9884\u6d4b\u80fd\u529b\u66f4\u597d\uff0c\u53ef\u89c1\u56fe2\u3002\u8fd9\u4e2a\u53d1\u73b0\u542f\u53d1\u4e86\u540e\u7eed\u5f88\u591a\u76f8\u5173\u5de5\u4f5c\uff0c\u4f17\u591a\u7814\u7a76\u8005\u8bd5\u56fe\u5bfb\u627e\u54ea\u79cd\u795e\u7ecf\u7f51\u7edc\u6216\u5176\u4ed6\u5e7f\u4e49\u7684\u8ba1\u7b97\u6a21\u578b\u80fd\u591f\u4ea7\u751f\u66f4\u7c7b\u8111\u7684\u89c6\u89c9\u8868\u5f81<\/span>\uff08\u66f4\u9ad8\u7684brain score\uff09<\/span>[10]\u3002<\/span><\/section>\n

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

        \u56fe3\uff1a\u540c\u4e00\u5f20\u56fe\u50cf\uff08\u739b\u4e3d\u5c45\u91cc\uff09\u88ab\u8f93\u5165\u8fdb\u7315\u7334\u7684\u89c6\u89c9\u76ae\u5c42\u4ee5\u53ca\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u6211\u4eec\u53ef\u4ee5\u53d1\u73b0\u5c42\u4e0e\u5c42\u4e4b\u95f4\u7684\u8868\u5f81\u5bf9\u9f50\u3002\u795e\u7ecf\u7f51\u7edc\u4e2d\u5c42\u7684\u54cd\u5e94\u548c\u4e2d\u7ea7\u89c6\u89c9\u533aV4\u7684\u54cd\u5e94\u5bf9\u9f50\u5ea6\u8f83\u9ad8\uff0c\u795e\u7ecf\u7f51\u7edc\u540e\u5c42\u7684\u54cd\u5e94\u4e0e\u9ad8\u7ea7\u89c6\u89c9\u533aIT\u7684\u54cd\u5e94\u5bf9\u9f50\u5ea6\u8f83\u9ad8\u3002\u56fe\u6e90[18]<\/span><\/p>\n


        <\/section>\n
        \u5728[11]\u4e2d\uff0c\u7814\u7a76\u8005\u6bd4\u8f83\u4e86\u8d85\u8fc7200\u4e2a\u4e0d\u540c\u7684\u89c6\u89c9\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u91cc\uff0c\u8ba9\u6211\u4eec\u56de\u987e\u5177\u4f53\u6b65\u9aa4\u6765\u7406\u89e3\u8fd9\u9879\u7814\u7a76\uff1a<\/span><\/section>\n

        <\/section>\n
        \uff081\uff09\u5e7f\u4e49\u7684\u5916\u90e8\u523a\u6fc0\u662f\u89c6\u89c9\u523a\u6fc0\uff0c\u6570\u636e<\/strong>\u6db5\u76d61000\u5f20\u4ece\u516c\u5f00\u6570\u636e\u96c6 NSD<\/span>\uff08Natural Scene Dataset\uff09<\/span>\u4e2d\u88ab\u6240\u6709\u5b9e\u9a8c\u4eba\u5458\u770b\u5230\u7684\u56fe\u50cf[12]\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        (2) \u5bf9\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8fd9\u4e2a\u7cfb\u7edf\uff0c\u6211\u4eec\u4f7f\u7528\u4e0d\u540c\u6a21\u578b\u6240\u5bf9\u5e94\u7684\u9884\u5904\u7406\u56fe\u50cf\uff0c\u7136\u540e\u5c06\u5176\u8f93\u5165\u5f62\u6210\u8868\u5f81<\/strong>\uff1b\u5bf9\u4e8e\u5b9e\u9a8c\u4eba\u5458\u7684\u4eba\u8111\uff0cNSD \u7684\u7814\u7a76\u4eba\u5458\u5728\u6838\u78c1\u5171\u632f\u7684\u73af\u5883\u4e0b\u5411\u5b9e\u9a8c\u4eba\u5458\u53bb\u5c55\u793a\u548c\u5b66\u4e60\u56fe\u50cf\uff0c\u53ea\u8ba9\u4ed6\u4eec\u505a\u4e00\u4e2a\u7b80\u5355\u7684\u5b9e\u9a8c\u4efb\u52a1\uff1a\u4f60\u5728\u4e4b\u524d\u662f\u5426\u770b\u5230\u8fc7\u8fd9\u4e00\u56fe\u50cf\uff1f\u6bcf\u4e2a\u5b9e\u9a8c\u4eba\u5458\u90fd\u4f1a\u4e09\u6b21\u770b\u5230\u540c\u6837\u7684\u56fe\u50cf\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff083\uff09\u7814\u7a76\u8005\u5c06\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6240\u6709\u5c42\u7684\u6fc0\u6d3b\u90fd\u5f53\u6210\u6a21\u578b\u8868\u5f81\u7684\u6d4b\u5ea6<\/strong>\uff0c\u5c06NSD\u4e2dfMRI<\/span>\uff08\u529f\u80fd\u6838\u78c1\u5171\u632f\uff09<\/span>\u6240\u6d4b\u91cf\u7684\u4ee3\u8868\u9ad8\u7ea7\u89c6\u89c9\u533a\u7684 OTC<\/span>\uff08Occipitotemporal Cortex\uff09<\/span>\u7684\u53cd\u5e94\u5bf9\u56fe\u50cf\u53bb\u505a\u4eba\u8111\u8868\u5f81\u7684\u6d4b\u5ea6<\/strong>\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff084\uff09\u8003\u8651\u5230\u8ba1\u7b97\u8d44\u6e90\u548c\u4e0d\u540c\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u7ef4\u5ea6\u53ef\u80fd\u6709\u6240\u5dee\u5f02\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u7a00\u758f\u968f\u673a\u6295\u5f71<\/span>\uff08Sparse Random Projection\uff09<\/span>\u8ba9\u6bcf\u5c42\u7684\u6fc0\u6d3b\u90fd\u6295\u5c04\u5230\u540c\u4e00\u7ef4\u5ea6\u4e0a\u5f62\u6210\u6a21\u578b\u5bf9\u56fe\u50cf\u8868\u5f81\u7684\u5d4c\u5165<\/strong>[13]\u3002\u5bf9\u4eba\u8111 OTC \u5219\u662f\u5c06\u4e09\u6b21\u4e0d\u540c\u8bd5\u9a8c\u7684 fMRI \u6570\u636e\u8fdb\u884c\u5e73\u5747\u6765\u5f53\u5d4c\u5165<\/strong>\uff0c\u8fd9\u65f6\u5019\u7684\u6570\u636e\u4e0d\u4f1a\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u8bd5\u9a8c\u60c5\u51b5\u800c\u66f4\u80fd\u53cd\u6620 OTC \u5bf9\u56fe\u50cf\u672c\u8eab\u7684\u8868\u5f81\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff085\uff09\u7814\u7a76\u8005\u9009\u53d6\u4e86\u4e24\u79cd\u4e0d\u540c\u7684\u5bf9\u9f50\u51fd\u6570\u53bb\u786e\u4fdd\u5176\u8ba1\u7b97\u7684\u8868\u5f81\u5bf9\u9f50\u5ea6\u4e0d\u53d7\u5236\u4e8e\u67d0\u79cd\u5bf9\u9f50\u51fd\u6570\u7684\u7279\u6027\uff0c\u5177\u4f53\u7684\u7edf\u8ba1\u5904\u7406\u7ec6\u8282\u6b22\u8fce\u5927\u5bb6\u53c2\u7167\u539f\u6587[14-17]\u3002\u6700\u540e\u5c55\u793a\u7684\u5bf9\u9f50\u5ea6\u662f\u57fa\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5355\u72ec\u5c42\u5bf9 OTC \u7684\u6700\u4f18\u5bf9\u9f50\u7684\u90a3\u4e2a\u6570\u503c\u3002<\/span><\/section>\n

        <\/section>\n
        \u6700\u540e\uff0c\u7814\u7a76\u8005\u53d1\u73b0\uff0c\u4e0d\u7ba1\u6846\u67b6<\/strong>\u6216\u8005\u8bad\u7ec3\u4efb\u52a1<\/strong>\u7684\u4e0d\u540c\uff0c\u5176\u4e0e\u4eba\u8111\u7684\u89c6\u89c9\u8868\u5f81\u90fd\u4f1a\u6709\u76f8\u5bf9\u4e00\u81f4\u7684\u5bf9\u9f50\u5ea6\uff0c\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u6240\u4f7f\u7528\u7684\u56fe\u50cf\u96c6<\/strong>\u5bf9\u8868\u5f81\u5bf9\u9f50\u5ea6\u4ea7\u751f\u5f71\u54cd\uff0c\u8be6\u7ec6\u7ed3\u8bba\u8bf7\u53c2\u7167\u539f\u6587[11]\u3002<\/span><\/section>\n

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

        \u56fe4\uff1aA. OTC\u4eba\u8111\u6240\u5728\u533a\u57df\uff1bB. \u9009\u53d6\u7684\u6a21\u578b\u7c7b\u578b\uff0c\u5728\u6a21\u578b\u8bad\u7ec3\u96c6\uff08Diet\uff09\u3001 \u67b6\u6784\uff08Architecture\uff09\u4ee5\u53ca\u8bad\u7ec3\u4efb\u52a1\uff08Task\uff09\u4e0a\u6709\u53d8\u5316\uff1bC. \u7814\u7a76\u6240\u4f7f\u7528\u7684\u5bf9\u9f50\u51fd\u6570\u4ee5\u53ca\u9009\u53d6\u7684\u56fe\u50cf\u523a\u6fc0\u6848\u4f8b\u3002\u56fe\u6e90\u4e3a[11]<\/span><\/p>\n


        <\/span><\/h2>\n

        c. \u8868\u5f81\u5bf9\u9f50\u6240\u9762\u4e34\u7684\u4e09\u4e2a\u6280\u672f\u95ee\u9898\uff08\u89c1\u56fe2\uff09<\/span><\/strong><\/span><\/h2>\n

        <\/span><\/section>\n
        \u5728\u4e86\u89e3\u8868\u5f81\u5bf9\u9f50\u7684\u57fa\u672c\u6b65\u9aa4\u540e\uff0c\u6211\u4eec\u5c06\u8868\u5f81\u5bf9\u9f50\u6240\u8981\u9762\u5bf9\u7684\u6311\u6218\u5206\u4e3a\u4e09\u7c7b\uff1a<\/span><\/section>\n

        <\/section>\n
        \uff081\uff09\u6d4b\u91cf<\/strong><\/span>\uff08Measuring\uff09<\/span>\u3002\u4e3b\u8981\u95ee\u9898\u5728\u4e8e\u5982\u4f55\u9009\u53d6\u5bf9\u9f50\u51fd\u6570\u6765\u8ba1\u7b97\u8868\u5f81\u5bf9\u9f50\u7684\u6570\u503c\u3002\u6709\u5173\u5bf9\u9f50\u51fd\u6570\u4e4b\u95f4\u7684\u5bf9\u6bd4\u53ef\u89c1[5, 19]\u3002\u6bd4\u5982\u8bf4\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bbe\u8ba1\u4e89\u8bae\u6027\u523a\u6fc0<\/span>\uff08Controlversial Stimuli\uff09<\/span>\u53bb\u751f\u6210\u80fd\u6700\u5927\u5316\u533a\u5206\u4e0d\u540c\u6a21\u578b\u7684\u56fe\u50cf\uff0c\u800c\u4e0d\u662f\u968f\u673a\u9009\u53d6\u81ea\u7136\u56fe\u50cf\u6765\u4f5c\u4e3a\u5bf9\u9f50\u6240\u4f7f\u7528\u7684\u6570\u636e\uff0c\u56e0\u6b64\u5f62\u6210\u66f4\u5f3a\u7684\u5bf9\u9f50\u6570\u6307\u6807\u6765\u533a\u5206\u6a21\u578b[20]\u3002\u5728\u8111\u4e0e\u6a21\u578b\u7684\u6bd4\u8f83\u4e2d\uff0c\u5bf9\u9f50\u51fd\u6570\u7684\u6700\u65b0\u53d1\u5c55\u548c\u76f8\u5173\u8ba8\u8bba\u53ef\u4ee5\u53c2\u89c1\uff1aBOTBM3, Battle of the Brain-Model-Mapping Metrics<\/span>\uff08https:\/\/botbm3.github.io\/talkseries#outline\uff09<\/span>\u3002<\/span><\/section>\n

        <\/span><\/section>\n
        \uff082\uff09\u6865\u63a5<\/strong><\/span>\uff08Bridging\uff09<\/span>\u3002\u4e3b\u8981\u95ee\u9898\u5728\u4e8e\u5982\u4f55\u5c06\u4e0d\u540c\u7cfb\u7edf\u7684\u8868\u5f81\u7a7a\u95f4\u6295\u5c04\u5230\u540c\u4e00\u7a7a\u95f4\u4e2d\u3002\u4e00\u4e2a\u5177\u4f53\u6848\u4f8b\u662f\u5728[21]\u4e2d\uff0c\u7814\u7a76\u8005\u8bd5\u56fe\u901a\u8fc7\u8d85\u5bf9\u9f50<\/span>\uff08Hyperalignment\uff09<\/span>\u5bfb\u627e\u4e0d\u540c\u4eba\u4e4b\u95f4\u89c6\u89c9\u8868\u5f81\u7684\u5171\u540c\u7f16\u7801<\/span>\uff08common code\uff09<\/span>\u3002<\/span><\/section>\n

        <\/span><\/section>\n
        \uff083\uff09\u63d0\u5347<\/strong><\/span>\uff08Increasing\uff09<\/span>\u3002\u4e3b\u8981\u95ee\u9898\u5728\u4e8e\u5982\u4f55\u901a\u8fc7\u7ea6\u675f\u6216\u6539\u53d8\u7cfb\u7edf\u7684\u8868\u5f81\uff0c\u8ba9\u5176\u4e0e\u53e6\u4e00\u4e2a\u7cfb\u7edf\u7684\u5bf9\u9f50\u7a0b\u5ea6\u63d0\u5347\u3002\u76f8\u5173\u6848\u4f8b\u662f\uff0c\u673a\u5668\u5b66\u4e60\u7814\u7a76\u8005\u8bad\u7ec3\u5b66\u751f\u7f51\u7edc<\/span>\uff08Student Network\uff09<\/span>\uff0c\u4f7f\u5176\u8868\u5f81\u66f4\u52a0\u63a5\u8fd1\u89c4\u6a21\u66f4\u5927\u3001\u8bad\u7ec3\u6210\u672c\u66f4\u9ad8\u3001\u6027\u80fd\u4e5f\u66f4\u597d\u7684\u8001\u5e08\u7f51\u7edc<\/span>\uff08Teacher Network\uff09<\/span>[22-24]\u3002<\/span><\/section>\n

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

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

        \n
        \n
        \n
        \n
        \n

        <\/section>\n

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

        4. \u4e3a\u4ec0\u4e48\u5173\u5fc3\u8868\u5f81\u5bf9\u9f50\uff1f<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

        \n

        <\/section>\n

        <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


        <\/p>\n

        a. \u4e00\u4e9b\u76f8\u5173\u95ee\u9898<\/span><\/strong><\/span><\/h2>\n

        <\/section>\n
        \u5728\u57fa\u672c\u4e86\u89e3\u8868\u5f81\u5bf9\u9f50\u505a\u4ec0\u4e48\u4ee5\u540e\uff0c\u8bfb\u8005\u53ef\u80fd\u4f1a\u8fdb\u4e00\u6b65\u8ffd\u95ee\uff0c\u8fd9\u53c8\u610f\u5473\u7740\u4ec0\u4e48\u5462\uff1f\u8868\u5f81\u5bf9\u9f50\u503c\u7684\u9ad8\u4f4e\u610f\u5473\u7740\u4ec0\u4e48\u5462\uff1f\u4ece\u4e00\u4e9b\u5177\u4f53\u95ee\u9898\u6765\u8bb2\uff1a<\/span><\/section>\n

        <\/section>\n
        \uff081\uff09\u8868\u5f81\u5bf9\u9f50\u503c\u80cc\u540e\u7684\u4fe1\u606f\u542b\u4e49\u662f\u4ec0\u4e48\uff1f\u5176\u7279\u5f81\u662f\u5426\u5177\u6709\u91cd\u8981\u542b\u4e49\uff1f<\/span><\/section>\n

        <\/section>\n
        \u53cd\u4f8b<\/strong>\uff1a\u5927\u8bed\u8a00\u6a21\u578b<\/span>\uff08Large Language Model, LLM\uff09<\/span>\u80fd\u591f\u5f88\u597d\u5730\u9884\u6d4b\u4eba\u7c7b\u5bf9\u8bed\u8a00\u5904\u7406\u7684\u795e\u7ecf\u7f16\u7801\u8868\u5f81\uff0c\u4f46\u540c\u6837\u7684\u8bdd\u6211\u4eec\u53ef\u4ee5\u53ea\u7528\u7c7b\u4f3c\u4e8e\u53e5\u5b50\u957f\u5ea6\u6216\u53e5\u5b50\u4f4d\u7f6e\u8fd9\u4e9b\u7410\u788e\u7684\u7279\u5f81\uff0c\u5c31\u53ef\u4ee5\u89e3\u91ca\u5927\u6a21\u578b<\/span>\u8bed\u8a00\u8868\u5f81\u5bf9\u4eba\u8111\u8bed\u8a00\u8868\u5f81\u7684\u5927\u90e8\u5206\u9884\u6d4b\u6548\u679c[25]\u3002\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u8868\u5f81\u5bf9\u9f50\u503c\u54ea\u6015\u5f88\u9ad8\u5374\u4e5f\u6ca1\u80fd\u63d0\u4f9b\u5f88\u591a\u6709\u8da3\u7684\u4fe1\u606f\u3002<\/span><\/section>\n

        <\/section>\n
        \u4e2d\u4f8b<\/strong>\uff1a\u5f53\u6211\u4eec\u56de\u987e\u8868\u5f81\u5bf9\u9f50\u7684\u4e94\u4e2a\u6b65\u9aa4\u65f6\uff0c\u4f1a\u53d1\u73b0\u6709\u8bb8\u591a\u9700\u8981\u9009\u62e9\u64cd\u4f5c\u7684\u5730\u65b9\uff0c\u6570\u636e\u8be5\u5982\u4f55\u9009\u53d6\uff0c\u901a\u8fc7\u4ec0\u4e48\u6837\u7684\u5b9e\u9a8c\u6d41\u7a0b\u5c06\u6570\u636e\u8f93\u5165\u7cfb\u7edf\uff0c\u4ee5\u4ec0\u4e48\u65b9\u5f0f\u53bb\u6d4b\u91cf\u7cfb\u7edf\u7684\u5185\u5728\u8868\u5f81\uff0c\u9009\u62e9\u600e\u6837\u7684\u5d4c\u5165\u65b9\u5f0f\uff0c\u6700\u540e\u53c8\u662f\u600e\u6837\u7684\u5bf9\u9f50\u51fd\u6570\uff0c\u90fd\u5b58\u5728\u5f88\u591a\u64cd\u4f5c\u7a7a\u95f4\u3002\u7814\u7a76\u8005\u5e94\u8be5\u610f\u8bc6\u5230\u5bf9\u7ed3\u679c\u7684\u89e3\u8bfb\u90fd\u5e94\u8be5\u5efa\u7acb\u5728\u8fd9\u4e9b\u64cd\u4f5c\u4e0a\uff0c\u56e0\u4e3a\u64cd\u4f5c\u65b9\u5f0f\u53ef\u80fd\u5b58\u5728\u6781\u5927\u7684\u5dee\u5f02\uff0c\u5bf9\u4e0d\u540c\u7814\u7a76\u7ed3\u679c\u8fdb\u884c\u5bf9\u6bd4\u65f6\u9700\u8981\u8c28\u614e\u3002<\/span><\/section>\n

        <\/section>\n
        \u6b63\u4f8b<\/strong>\uff1a\u5728\u56fe\u50cf\u5904\u7406\u4e2d\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u524d\u5c42\u53ef\u4ee5\u4e0e\u4f4e\u7ea7\u89c6\u89c9\u533a\u5bf9\u9f50\uff0c\u800c\u540e\u5c42\u53ef\u4ee5\u4e0e\u9ad8\u7ea7\u89c6\u89c9\u533a\u5bf9\u9f50\u3002\u5bf9\u4e8e\u8fd9\u4e2a\u7ed3\u679c\uff0c\u4e5f\u6709\u8bb8\u591a\u76f8\u5173\u7684\u8fc1\u79fb\u5e94\u7528\uff0c\u6bd4\u5982\u5728\u8003\u8651\u9ad8\u9636\u89c6\u89c9\u529f\u80fd\u5982\u8bc6\u522b\u793e\u4f1a\u4ea4\u4e92\u7684\u65f6\u5019\uff0c\u4f1a\u628a\u795e\u7ecf\u7f51\u7edc\u7684\u524d\u5c42\u4f5c\u4e3a\u4e00\u4e2a\u53d8\u91cf\u53bb\u9664\u89c6\u89c9\u4f4e\u9636\u8868\u5f81\u7684\u5f71\u54cd[26]\uff0c\u6216\u8005\u5c06\u795e\u7ecf\u7f51\u7edc\u7684\u540e\u5c42\u4f5c\u4e3a\u9ad8\u9636\u8868\u5f81\uff0c\u7528\u6765\u8868\u793a\u81ea\u4e0a\u800c\u4e0b<\/span>\uff08top-down\uff09<\/span>\u7684\u89c6\u89c9\u4fe1\u53f7\u6765\u66ff\u4ee3\u9884\u6d4b\u7f16\u7801<\/span>\uff08Predictive Processing\uff09<\/span>\u7684\u5f71\u54cd[27]\u3002<\/span><\/section>\n

        <\/section>\n
        \uff082\uff09\u6211\u4eec\u80fd\u591f\u901a\u8fc7\u8ba1\u7b97\u51fa\u795e\u7ecf\u7f51\u7edc\u4e4b\u95f4\u7684\u8868\u5f81\u5bf9\u9f50\u503c\u6765\u8bc6\u522b\u4e0d\u540c\u7684\u795e\u7ecf\u7cfb\u7edf\u5417\uff1f\u5982\u679c\u6211\u4eec\u53d1\u73b0A\u7f51\u7edc\u7684\u8868\u5f81\u66f4\u63a5\u8fd1\u4e8eB\u7f51\u7edc\u800c\u975eC\u7f51\u7edc\uff0c\u6211\u4eec\u53ef\u4ee5\u65ad\u5b9aB\u7f51\u7edc\u7684\u6027\u8d28<\/span>\uff08\u5982\u7ed3\u6784\uff09<\/span>\u4f1a\u548cA\u7f51\u7edc\u66f4\u8d8b\u540c\u5417\uff1f<\/span><\/section>\n

        <\/section>\n
        \u7ed3\u679c<\/strong>\uff1a\u4e0d\u80fd\u3002\u5982\u679c\u533a\u5206\u90fd\u505a\u4e0d\u5230\u7684\u8bdd\uff0c<\/span>\u4e3a\u4ec0\u4e48\u7814\u7a76\u8005\u671f\u5f85\u901a\u8fc7\u8868\u5f81\u5bf9\u9f50\u503c\u80fd\u591f\u5bf9\u795e\u7ecf\u7cfb\u7edf\u7684\u5185\u5728\u6027\u8d28\u6709\u5f88\u597d\u7684\u89e3\u8bfb\u5462\uff1f[28]<\/span><\/section>\n

        <\/section>\n
        \uff083\uff09\u5982\u679c\u76f8\u8f83\u4e8e\u5176\u4ed6\u795e\u7ecf\u7f51\u7edc\uff0c<\/span>\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u5bf9\u56fe\u50cf\u7684\u8868\u5f81\u66f4\u63a5\u8fd1\u4eba\u8111\u5bf9\u56fe\u50cf\u7684\u8868\u5f81\uff0c\u6211\u4eec\u5e94\u8be5\u671f\u671b\u8fd9\u4e2a\u795e\u7ecf\u7f51\u7edc\u5177\u6709\u4ec0\u4e48\u6837\u7684\u6027\u8d28\u5462\uff1f<\/span><\/section>\n

        <\/section>\n
        \u53cd\u4f8b<\/strong>\uff1a\u65e0\u8bba\u67b6\u6784\u3001\u8bad\u7ec3\u4efb\u52a1\u548c\u6a21\u578b\u8868\u73b0\u6709\u591a\u4e48\u4e0d\u540c\uff0c\u5f53\u6211\u4eec\u6bd4\u8f83\u8d85\u8fc7200\u4e2a\u89c6\u89c9\u4efb\u52a1\u4e0b\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5176\u4e0e\u5927\u8111\u7684\u8868\u5f81\u5bf9\u9f50\u7a0b\u5ea6\u662f\u4e00\u81f4\u7684\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5f88\u96be\u65ad\u5b9a\u4e0e\u8111\u7684\u8868\u5f81\u5bf9\u9f50\u7a0b\u5ea6\u5bf9\u6a21\u578b\u672c\u8eab\u7684\u7406\u89e3\u6709\u4ec0\u4e48\u5e2e\u52a9[11]\u3002<\/span><\/section>\n

        <\/section>\n
        \u6b63\u4f8b<\/strong>\uff1a\u4ece\u795e\u7ecf\u6b63\u5219\u5316<\/span>\uff08Neural Regularization\uff09<\/span>\u7684\u89d2\u5ea6\u51fa\u53d1\uff0c\u4f1a\u6709\u5f88\u591a\u76f8\u5173\u7814\u7a76\uff0c\u6bd4\u5982\u5177\u6709\u66f4\u7c7b\u8111\u8868\u5f81\u7684\u795e\u7ecf\u7f51\u7edc\u4f1a\u5c55\u73b0\u51fa\u66f4\u5f3a\u7684\u9c81\u68d2\u6027<\/span>\uff08Robustness\uff09<\/span>[29-30]\uff1b<\/span><\/section>\n

        <\/section>\n
        \u5e0c\u671b\u4e0a\u8ff0\u7684\u4e00\u4e9b\u6848\u4f8b\u80fd\u591f\u8ba9\u8bfb\u8005\u8ba4\u8bc6\u5230\uff0c\u6211\u4eec\u9700\u8981\u5bf9\u8868\u5f81\u5bf9\u9f50\u7684\u7ed3\u679c\u6709\u5ba1\u614e\u7684\u89e3\u8bfb\uff0c\u4e0d\u8fc7\u5206\u8ff7\u4fe1\u4f46\u4e5f\u5173\u6ce8\u6f5c\u5728\u5e94\u7528\u3002\u63a5\u4e0b\u6765\u4f1a\u5177\u4f53\u4ece\u7ef4\u5ea6\u89c6\u89d2\u8ba8\u8bba\u8868\u5f81\u672c\u8eab\u4e3a\u4ec0\u4e48\u91cd\u8981\uff0c\u4ee5\u53ca\u7b80\u8ff0\u4e00\u4e9b\u8868\u5f81\u5bf9\u9f50\u7684\u6848\u4f8b\u3002<\/span><\/section>\n

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

        b. \u4ece\u7ef4\u5ea6\u89c6\u89d2\u6765\u770b\u8868\u5f81\u4e3a\u4ec0\u4e48\u91cd\u8981<\/span><\/strong><\/span><\/h2>\n

        <\/section>\n
        \u5173\u4e8e\u8868\u5f81\u4e3a\u4ec0\u4e48\u91cd\u8981\u7684\u8ba8\u8bba\u76f8\u5173\u6587\u732e\u6c57\u725b\u5145\u680b\uff0c\u6bd4\u5982\u5728[31]\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u95ee\u8868\u5f81\u662f\u5426\u4f9d\u8d56\u5177\u4f53\u7684\u5750\u6807\u7cfb\u7edf\uff0c\u6b64\u5904\u53ea\u63d0\u4f9b\u4e00\u4e2a\u5f88\u7a84\u7684\u89c6\u89d2\u2014\u2014\u7ef4\u5ea6<\/span>\uff08Dimensionality\uff09<\/span>[32]\uff0c\u6848\u4f8b\u4e5f\u591a\u805a\u7126\u4e8e\u89c6\u89c9\u7684\u8111\u795e\u7ecf\u7f16\u7801\u3002<\/span><\/section>\n

        <\/section>\n
        \u4ece\u7ef4\u5ea6\u89c6\u89d2\u51fa\u53d1\uff0c\u8868\u5f81\u7684\u610f\u4e49\u5927\u81f4\u53ef\u4ee5\u5206\u4e3a\u4e24\u7c7b\uff0c\uff081\uff09\u8868\u5f81\u7ef4\u5ea6\u7684\u7edf\u8ba1\u7ed3\u6784\uff0c\u4f8b\u5982\u9ad8\u9636\u8ba4\u77e5\u662f\u5426\u9700\u8981\u901a\u8fc7\u9ad8\u7ef4\u8868\u5f81\u5982\u6df7\u5408\u7f16\u7801<\/span>\uff08Mixture Selectivity\uff09<\/span>\u6765\u5b9e\u73b0 [33-35]\uff1b\uff082\uff09\u8868\u5f81\u7ef4\u5ea6\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u4f8b\u5982\u80fd\u5426\u901a\u8fc7\u72ec\u7acb\u6210\u5206\u5206\u6790<\/span>\uff08Indepdent Component Analysis, ICA\uff09<\/span>\u53bb\u7406\u89e3\u54ea\u4e9b\u7279\u5f81\u6784\u6210\u4e86\u8868\u5f81\u3002<\/span><\/section>\n

        <\/section>\n
        \u6211\u4eec\u53ef\u4ee5\u4ece\u201c\u89c6\u89c9\u76ae\u5c42\u5bf9\u56fe\u50cf\u523a\u6fc0\u7684\u8868\u5f81\u662f\u9ad8\u7ef4\u7684\u8fd8\u662f\u4f4e\u7ef4\u7684\u201d<\/strong>\u8fd9\u4e2a\u5177\u4f53\u95ee\u9898\u51fa\u53d1\uff0c\u6765\u7406\u89e3\u8fd9\u4e24\u5c42\u610f\u4e49\u3002\u56fe5\u4e2d\u7b80\u5355\u5730\u8bf4\u660e\u4e86\u7ef4\u5ea6\u5bf9\u89c6\u89c9\u8868\u5f81\u610f\u5473\u7740\u4ec0\u4e48\u3002<\/span><\/section>\n

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

        \u56fe5\uff1aA. \u793a\u610f\u56fe\uff0c\u8111\u7684\u795e\u7ecf\u7f16\u7801\u5982\u4f55\u8868\u5f81\u4e0d\u540c\u7684\u81ea\u7136\u56fe\u50cf\uff1bB. \u793a\u610f\u7b80\u5316\u56fe\uff0c\u5f53\u8868\u5f81\u7a7a\u95f4\u662f\u4e8c\u7ef4\u7684\u65f6\u5019\uff0c\u5de6\u56fe\u610f\u5473\u7740\u6211\u4eec\u9700\u8981\u4e24\u4e2a\u7ef4\u5ea6\u53bb\u8868\u5f81\u81ea\u7136\u56fe\u50cf\uff0c\u53f3\u56fe\u610f\u5473\u7740\u6211\u4eec\u53ea\u9700\u8981\u4e00\u4e2a\u7ef4\u5ea6\u53bb\u8868\u5f81\u81ea\u7136\u56fe\u50cf\u3002\u56fe\u6e90\uff1ahttps:\/\/slides.com\/raj-magesh\/scale-free-visual-cortex\/<\/span><\/p>\n


        <\/section>\n
        \u5728\u8fd9\u4e00\u95ee\u9898\u4e0b\uff0c\u5176\u4e2d\u4e00\u4e2a\u6bd4\u8f83\u57fa\u672c\u7684\u7edf\u8ba1\u65b9\u6cd5\u662f\u4e3b\u6210\u5206\u5206\u6790<\/span>\uff08Principal Component Analysis, PCA\uff09<\/span>\u3002<\/span><\/section>\n

        <\/section>\n
        \u5982\u679c\u89c6\u89c9\u76ae\u5c42\u7684\u795e\u7ecf\u7f16\u7801<\/span>\uff08Neural Code\uff09<\/span>\u6bcf\u4e2a\u7ef4\u5ea6\u90fd\u7f16\u7801\u5355\u4e2a\u7279\u5f81\uff0c\u5176\u6548\u7387<\/span>\uff08Efficiency\uff09<\/span>\u662f\u6700\u9ad8\u7684\u3002\u5f53\u6211\u4eec\u5bf9\u6b64\u7c7b\u8868\u5f81\u8fdb\u884c\u4e3b\u6210\u5206\u5206\u6790\u7684\u65f6\u5019\uff0c\u4f1a\u53d1\u73b0\u5176\u7279\u5f81\u8c31<\/span>\uff08Eigenspectrum\uff09<\/span>\u5f80\u5f80\u662f\u6761\u5e73\u7ebf\uff0c\u8fd9\u8868\u793a\u6211\u4eec\u9700\u8981\u6240\u6709\u7684\u7ef4\u5ea6\u6765\u53bb\u89e3\u91ca\u8868\u5f81\u7a7a\u95f4\u7684\u65b9\u5dee<\/span>\uff08Variance\uff09<\/span>\uff0c\u4fbf\u610f\u5473\u7740\u9ad8\u7ef4\u5ea6<\/span>\uff08\u89c1\u56fe6\u53f3\uff09<\/span>\u3002\u800c\u5bf9\u4e8e\u4f4e\u7ef4\u7684\u795e\u7ecf\u7f16\u7801\uff0c\u5f53\u6211\u4eec\u5bf9\u5176\u8868\u5f81\u8fdb\u884c\u4e3b\u6210\u5206\u5206\u6790\u7684\u65f6\u5019\uff0c\u7279\u5f81\u8c31\u7684\u65b9\u5dee\u4f1a\u5f88\u5feb\u4e0b\u964d\u7136\u540e\u8d8b\u8fd1\u4e8e\u6216\u8005\u53d8\u62100<\/span>\uff08\u89c1\u56fe6\u5de6\uff09<\/span>\u3002<\/span><\/section>\n

        <\/section>\n
        \u5f53\u6211\u4eec\u89e3\u8bfb\u89c6\u89c9\u76ae\u5c42\u5bf9\u81ea\u7136\u56fe\u50cf\u7684\u8868\u5f81\u65f6\uff0c\u4f1a\u53d1\u73b0\u5176\u5f80\u5f80\u662f\u4e00\u6761\u65b9\u5dee\u9010\u6b65\u4e0b\u964d\u8d8b\u8fd1\u4e8e0\u7684\u66f2\u7ebf\uff0c\u8bb8\u591a\u7814\u7a76\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u9009\u53d6\u524d\u9762\u5c11\u91cf\u6700\u91cd\u8981\u7684\u7ef4\u5ea6\uff0c\u4e00\u822c\u6765\u8bf4\u53ef\u80fd\u9009\u53d6\u6570\u91cf\u4e0d\u591a\u4e8e10\u4e2a\uff0c\u4e5f\u6709\u90e8\u5206\u7814\u7a76\u4f1a\u9009\u51e0\u5341\u4e2a\uff0c\u53bb\u5ba3\u79f0\u89c6\u89c9\u76ae\u5c42\u5bf9\u56fe\u50cf\u7684\u4fe1\u606f\u8868\u5f81\u5c31\u5728\u8fd9\u4e9b\u7ef4\u5ea6\u91cc\u9762\u3002\u800c\u505a\u53ef\u89e3\u91ca\u7684\u7814\u7a76\u4eba\u5458\u4f1a\u8bd5\u56fe\u89e3\u91ca\u8fd9\u4e9b\u4e3b\u6210\u5206\u7ef4\u5ea6\uff0c\u8ba4\u4e3a\u524d\u51e0\u4e2a\u4e3b\u6210\u5206\u7ef4\u5ea6\u7684\u56fe\u50cf\u53ef\u80fd\u662f\u8138\u90e8\u7279\u5f81\u3001\u98df\u7269\u6216\u8005\u6d3b\u7269\uff0c\u8fd9\u4e9b\u53ef\u80fd\u662f\u5bf9\u8111\u795e\u7ecf\u7f16\u7801\u6700\u91cd\u8981\u7684\u4fe1\u606f\u3002<\/span><\/section>\n

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

        \u56fe6\uff1a\u5de6\u56fe\u662f\u4f4e\u7ef4\u7684\u795e\u7ecf\u7f16\u7801\u7684\u7279\u5f81\u8c31\uff0c\u53f3\u56fe\u4e3a\u9ad8\u7ef4\u7684\u795e\u7ecf\u7f16\u7801\u7684\u7279\u5f81\u8c31\u3002y\u8f74\u4ee3\u8868\u7684\u662f\u7ef4\u5ea6\u6240\u80fd\u89e3\u91ca\u7684\u6570\u636e\u65b9\u5dee\uff0cx\u8f74\u4ee3\u8868\u7684\u662f\u6309\u65b9\u5dee\u6392\u5e8f\u4ece\u9ad8\u5230\u4f4e\u7684\u9690\u6027\u7ef4\u5ea6\u3002\u56fe\u6e90\uff1ahttps:\/\/slides.com\/raj-magesh\/scale-free-visual-cortex\/<\/span><\/p>\n


        <\/section>\n
        \u90a3\u4e3a\u4ec0\u4e48\u4f9d\u7136\u6709\u4e0d\u5c11\u7814\u7a76\u8005\u8ba4\u4e3a\u89c6\u89c9\u795e\u7ecf\u7f16\u7801\u8868\u5f81<\/span>\uff08\u5f53\u5176\u7279\u5f81\u8c31\u662f\u9010\u6e10\u4e0b\u964d\u7684\u66f2\u7ebf\u65f6\uff09<\/span>\u662f\u9ad8\u7ef4\u7684\u5462\uff1f\u867d\u7136\u89c6\u89c9\u795e\u7ecf\u7f16\u7801\u8868\u5f81\u7684\u7279\u5f81\u8c31\u4e0d\u662f\u6761\u5e73\u5766\u7684\u7ebf\uff0c\u4f46\u5982\u679c\u6211\u4eec\u5c06\u7279\u5f81\u8c31\u653e\u5165\u5bf9\u6570\u523b\u5ea6<\/span>\uff08log-log scale\uff09<\/span>\u4e2d\uff0c\u4f1a\u53d1\u73b0\u5e42\u5f8b<\/span>\uff08Power Law\uff09<\/span>\u51fa\u73b0\u4e86\u3002\u8fd9\u610f\u5473\u7740\u867d\u7136\u540e\u7eed\u7684\u7ef4\u5ea6\u5bf9\u8868\u5f81\u65b9\u5dee\u7684\u89e3\u91ca\u6781\u4f4e\uff0c\u4f46\u5176\u4f3c\u4e4e\u4e0d\u80fd\u88ab\u5f53\u6210\u566a\u58f0\u6765\u5904\u7406\u3002\u5728[36]\u4e2d\uff0c\u7814\u7a76\u8005\u5ba3\u79f0\u8fd9\u79cd\u7b26\u5408\u5e42\u5f8b\u7684\u9ad8\u7ef4\u8868\u5f81\uff0c\u662f\u56e0\u4e3a\u8868\u5f81\u4e5f\u9700\u8981\u5e73\u6ed1\u6027<\/span>\uff08Smoothness\uff09<\/span>\u8fd9\u4e2a\u7ea6\u675f<\/span>\uff08\u5e73\u6ed1\u6027\u80fd\u591f\u4fdd\u8bc1\uff0c\u5f53\u6211\u4eec\u5bf9\u7cfb\u7edf\u8f93\u5165\u8fdb\u884c\u5c0f\u6270\u52a8\u65f6\uff0c\u7cfb\u7edf\u8f93\u51fa\u4e0d\u4f1a\u51fa\u73b0\u5267\u70c8\u53d8\u5316\u3002\u6bd4\u5982\uff0c\u6211\u4eec\u4f1a\u5e0c\u671b\u5728\u5904\u7406\u4e24\u5f20\u6781\u4e3a\u76f8\u4f3c\u7684\u732b\u7684\u56fe\u7247\u65f6\uff0c\u5927\u8111\u5f62\u6210\u7684\u5185\u5728\u8868\u5f81\u4e0d\u4f1a\u6709\u5f88\u5927\u5dee\u5f02\uff09<\/span>\u800c\u4e0d\u80fd\u4ec5\u4ec5\u53ea\u8ffd\u6c42\u9ad8\u6548\u7387\u3002\u751a\u81f3\u4ed6\u4eec\u5728\u5c0f\u9f20\u9499\u4fe1\u53f7\u7684\u5206\u6790\u4e2d\uff0c\u5ba3\u79f0\u5e42\u5f8b\u8fd9\u6761\u7ebf\u7684\u659c\u7387\u90fd\u5177\u6709\u4e00\u5b9a\u786e\u5b9a\u6027\uff0c\u56e0\u4e3a\u5176\u521a\u597d\u6ee1\u8db3\u6548\u7387\u548c\u5e73\u6ed1\u6027\u7684\u6700\u4f73\u5e73\u8861\u3002\u6709\u4e00\u4e9b\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u7814\u7a76\u4e5f\u53d7\u5230\u4e86\u8fd9\u4e00\u53d1\u73b0\u7684\u5f71\u54cd\uff0c\u5728\u8bad\u7ec3\u4e2d\u589e\u52a0\u4e86\u8868\u5f81\u5448\u73b0\u5e42\u5f8b\u7279\u5f81\u7684\u7ea6\u675f\uff0c\u4f46\u5176\u5982\u4f55\u5f71\u54cd\u795e\u7ecf\u7f51\u7edc\u7684\u6027\u80fd\u8fd8\u5b58\u5728\u4e89\u8bae[37]\u3002<\/span><\/section>\n

        <\/section>\n
        \u5728[38]\u4e2d\uff0c\u7814\u7a76\u8005\u8fdb\u4e00\u6b65\u53d1\u5c55\u4e86\u4e0a\u8ff0\u7814\u7a76\u6240\u4f7f\u7528\u7684\u7edf\u8ba1\u624b\u6bb5<\/span>\uff08\u4e0d\u662f\u4f20\u7edf\u7684PCA, \u5173\u4e8e\u8ba1\u7b97\u65b9\u6cd5\u7684\u6559\u7a0b\u53ef\u89c1[39]\uff09<\/span>\uff0c\u5176\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5728\u505aPCA\u7684\u540c\u65f6\u80fd\u786e\u4fdd\u566a\u58f0\u7ef4\u5ea6\u7684\u53ef\u89e3\u91ca\u65b9\u5dee<\/span>\uff08Explained Variance\uff09<\/span>\u4e3a0\u3002\u7814\u7a76\u8005\u901a\u8fc7\u8ba1\u7b97\u540c\u4e00\u5b9e\u9a8c\u4eba\u5458\u8de8\u5b9e\u9a8c\u6216\u8005\u4e0d\u540c\u5b9e\u9a8c\u4eba\u5458\u5171\u6709\u795e\u7ecf\u7f16\u7801\u4fe1\u606f\u7684\u7279\u5f81\u8c31\uff0c\u53d1\u73b0\u89c6\u89c9\u76ae\u5c42\u7684\u9ad8\u7ef4\u8868\u5f81\u662f\u4e00\u4e2a\u4e0d\u5c40\u9650\u4e8e\u5177\u4f53\u8bd5\u9a8c\u6216\u8005\u5177\u4f53\u5b9e\u9a8c\u4eba\u5458\u7684\u901a\u7528\u5c5e\u6027<\/span>\uff08\u89c1\u56fe7\uff09<\/span>\uff0c\u4e14\u5728\u4eba\u7684\u4e0d\u540c\u8111\u533a\u4fdd\u6301\u4e00\u81f4\u3002\u5728\u540e\u7eed\u7814\u7a76\u4e2d\uff0c\u5f53\u7814\u7a76\u8005\u7528\u540c\u6837\u7684\u65b9\u6cd5\u5206\u6790\u5c0f\u9f20\u7684\u6570\u636e\uff0c\u540c\u6837\u7684\u5e42\u5f8b\u4f1a\u5728\u4e24\u79cd\u4e0d\u540c\u7684\u795e\u7ecf\u4fe1\u53f7\u6d4b\u91cf\u65b9\u6cd5<\/span>\uff08\u6838\u78c1\u5171\u632f\u548c\u9499\u6210\u50cf\uff09<\/span>\u90fd\u5b58\u5728\u3002\u5f53\u7814\u7a76\u8005\u8fdb\u4e00\u6b65\u91c7\u53d6\u7c97\u7c92\u5316\u624b\u6bb5\u53bb\u7f29\u653e\u795e\u7ecf\u4fe1\u53f7\u7684\u7a7a\u95f4\u5c3a\u5ea6\uff0c\u53d1\u73b0\u8fd9\u79cd\u9ad8\u7ef4\u8868\u5f81\u4f9d\u65e7\u5b58\u5728[40]\u3002\u8fd9\u65f6\u5019\uff0c\u5982\u679c\u6211\u4eec\u518d\u8bd5\u56fe\u8ba8\u8bba\u7ef4\u5ea6\u7684\u53ef\u89e3\u91ca\u6027\u5bf9\u4e8e\u66f4\u9ad8\u7684\u7ef4\u5ea6\u6765\u8bf4\uff0c\u4f3c\u4e4e\u4fbf\u5f88\u96be\u627e\u5230\u660e\u786e\u7684\u610f\u4e49\u4e86\u3002\u5f53\u7136\uff0c\u54ea\u6015\u540c\u6837\u662f\u652f\u6301\u89c6\u89c9\u8868\u5f81\u662f\u9ad8\u7ef4\u4e14\u7b26\u5408\u5e42\u5f8b\u7684\u5b66\u8005\uff0c\u5176\u4e2d\u4e5f\u6709\u4e0d\u5c11\u4e89\u8bae[41]\u3002<\/span><\/section>\n

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

        \u56fe7\uff1a\u5de6\u56fe\u662f\u4e0d\u540c\u5b9e\u9a8c\u4eba\u5458\u8de8\u8bd5\u9a8c\u89c6\u89c9\u54cd\u5e94\u533a\u7684\u795e\u7ecf\u7f16\u7801\u7684\u7279\u5f81\u8c31\uff0c\u53f3\u56fe\u662f\u8de8\u5b9e\u9a8c\u4eba\u5458\u4e4b\u95f4\u89c6\u89c9\u54cd\u5e94\u533a\u7684\u7279\u5f81\u8c31\uff0c\u4f1a\u53d1\u73b0\u90fd\u7b26\u5408\u5e42\u5f8b\u7684\u7279\u5f81\uff0c\u56fe\u6e90\u4e3a[38]\u3002<\/span><\/p>\n


        <\/span><\/section>\n
        \u7efc\u4e0a\u6240\u8ff0\uff0c\u4ece\u7ef4\u5ea6\u89d2\u5ea6\u51fa\u53d1\uff0c\u8868\u5f81\u7684\u91cd\u8981\u6027\u53ef\u4ee5\u4f53\u73b0\u6210\u4e24\u65b9\u9762\uff1a\uff081\uff09\u4ece\u7edf\u8ba1\u7ed3\u6784\u51fa\u53d1\uff0c\u8868\u5f81\u662f\u9ad8\u7ef4\u7684\u8fd8\u662f\u4f4e\u7ef4\u7684\uff0c\u5176\u7279\u6b8a\u6027\u8d28\u53ef\u4ee5\u53cd\u6620\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u7684\u673a\u5236\uff0c\u4f8b\u5982\uff1a\u8111\u5bf9\u89c6\u89c9\u523a\u6fc0\u7684\u9ad8\u7ef4\u8868\u5f81\u662f\u9700\u8981\u5728\u6548\u7387\u548c\u5e73\u6ed1\u6027\u5f97\u5230\u5e73\u8861\uff0c\u53e6\u5916\u66f4\u9ad8\u7ef4\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u53ef\u4ee5\u5f97\u76ca\u4e8e\u5176\u66f4\u9ad8\u7684\u6548\u7387\u548c\u8868\u8fbe\u6027<\/span>\uff08Expressivity\uff09<\/span>\uff0c\u56e0\u6b64\u5bf9\u8111\u8868\u5f81\u7684\u9884\u6d4b\u4ee5\u53ca\u65b0\u4efb\u52a1\u5b66\u4e60\u6709\u6240\u52a9\u76ca[42]\uff1b\uff082\uff09\u4ece\u53ef\u89e3\u91ca\u6027<\/span>\uff08Interpretability\uff09<\/span>\u51fa\u53d1\uff0c\u6211\u4eec\u53ef\u4ee5\u7406\u89e3\u4e0d\u540c\u7684\u7279\u5f81\u5bf9\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u7684\u91cd\u8981\u6027\uff0c\u4f8b\u5982\uff0c\u4eba\u5728\u8bc6\u522b\u7269\u4f53\u7684\u65f6\u5019\u5f62\u6210\u7684\u8868\u5f81\u80fd\u88ab\u7269\u4f53\u662f\u5426\u4e3a\u6d3b\u7269<\/span>\uff08animate or not\uff09<\/span>\u53ca\u5176\u5c3a\u5bf8\u5927\u5c0f\u6765\u89e3\u91ca[43]\u3002<\/span><\/section>\n

        <\/section>\n
        \u6b64\u5904\uff0c\u6211\u4eec\u53ef\u4ee5\u4ecb\u7ecd\u4e24\u4e2a\u6709\u5173\u8868\u5f81\u7684\u7814\u7a76\uff0c\u4f3c\u4e4e\u53ef\u4ee5\u8bf4\u660e\u8868\u5f81\u672c\u8eab\u7684\u6027\u8d28\u5728\u4e0d\u540c\u7684\u7cfb\u7edf\u4e0b\u53ef\u80fd\u6709\u5f88\u5f3a\u7684\u5171\u901a\u6027\uff0c\u56e0\u6b64\u53ef\u80fd\u610f\u5473\u66f4\u6709\u8da3\u7684\u6027\u8d28\u3002<\/span><\/section>\n

        <\/section>\n

        c. \u67cf\u62c9\u56fe\u8868\u5f81\uff08Platonic Representation\uff09[44]<\/span><\/strong><\/span><\/h2>\n

        <\/section>\n
        \u8bba\u6587\u7b80\u8981\u5185\u5bb9\u5982\u4e0b\uff1a<\/span><\/section>\n

        <\/section>\n
        \uff08\u6d1e\u7a74\u5047\u8bf4<\/strong>\u7248\u672c\uff09\u968f\u7740\u89c4\u6a21\u7684\u589e\u957f\uff0c\u65e0\u8bba\u67b6\u6784\u3001\u7b97\u6cd5\u8fd8\u662f\u8bad\u7ec3\u4efb\u52a1\uff0c\u795e\u7ecf\u7f51\u7edc<\/span>\uff08\u5927\u8bed\u8a00\u6a21\u578b\u3001\u89c6\u89c9\u795e\u7ecf\u7f51\u7edc\u7b49\uff09<\/span>\u7684\u8868\u5f81\u4f1a\u8d8b\u4e8e\u76f8\u4f3c\uff0c\u4e14\u610f\u5473\u7740\u66f4\u9ad8\u7684\u6a21\u578b\u8868\u73b0\uff0c\u4f3c\u4e4e\u5370\u8bc1\u4e86\u6d1e\u7a74\u5047\u8bf4\u4e2d\u7684\u7406\u60f3\u8868\u5f81\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff08\u5b89\u5a1c\u5361\u5217\u5c3c\u5a1c<\/strong>\u7248\u672c\uff09\u597d\u7684\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u90fd\u662f\u76f8\u4f3c\u7684\uff0c\u800c\u4e0d\u597d\u7684\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u5404\u6709\u5404\u7684\u4e0d\u540c\u3002<\/span><\/section>\n

        <\/section>\n
        \n
        \n
        \u6ce82\uff1a\u5728\u7b14\u8005\u7684\u4e2a\u4eba\u6210\u957f\u5386\u7a0b\u4e2d\uff0c\u67cf\u62c9\u56fe\u7684\u6d1e\u7a74\u5047\u8bf4\u542f\u8499\u4e86\u6211\u5bf9\u54f2\u5b66\u7684\u597d\u5947\u5fc3\uff0c\u300a\u5b89\u5a1c\u00b7\u5361\u5217\u5c3c\u5a1c\u300b\u5219\u662f\u6587\u5b66\u91cc\u7684\u6700\u7231\u3002\u800c\u8fd9\u4e24\u79cd\u5143\u7d20\u7adf\u7136\u90fd\u4f1a\u5728\u540c\u4e00\u7bc7\u540d\u4e3a\u67cf\u62c9\u56fe\u8868\u5f81\u731c\u60f3\u7684\u8bba\u6587\u88ab\u63d0\u53ca\uff0c\u771f\u662f\u83ab\u5927\u7684\u60ca\u559c\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n

        <\/section>\n
        \u5728\u7814\u7a76\u8005\u53d1\u73b0\u8fd9\u4e2a\u73b0\u8c61\u7684\u540c\u65f6<\/span>\uff08\u5f53\u7136\u8fd9\u4e2a\u73b0\u8c61\u672c\u8eab\u662f\u5426\u6709\u575a\u5b9e\u7684\u7edf\u8ba1\u57fa\u7840\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53bb\u8fdb\u4e00\u6b65\u63a2\u7d22\uff09<\/span>\uff0c\u7814\u7a76\u8005\u4e5f\u7b80\u5355\u5730\u9610\u8ff0\u4e86\u8fd9\u79cd\u73b0\u8c61\u80cc\u540e\u7684\u53ef\u80fd\u6210\u56e0\u3002<\/span><\/section>\n

        <\/section>\n
        \uff081\uff09\u968f\u7740\u795e\u7ecf\u7f51\u7edc\u6240\u9700\u8981\u6267\u884c\u7684\u4efb\u52a1\u8d8a\u6765\u8d8a\u591a\uff0c\u4e5f\u8d8a\u6765\u8d8a\u56f0\u96be\uff0c\u5176\u53c2\u6570\u6240\u5728\u7684\u53ef\u9009\u62e9\u7a7a\u95f4\u4e5f\u8d8a\u6765\u8d8a\u5c0f<\/span>\uff08\u89c1\u56fe8A\uff09<\/span>\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff082\uff09\u5982\u679c\u5b58\u5728\u4e00\u4e2a\u6700\u4f18\u8868\u5f81\uff0c\u89c4\u6a21\u8d8a\u5927\u53c2\u6570\u8d8a\u591a\u7684\u6a21\u578b\u66f4\u5bb9\u6613\u627e\u5230\u8fd9\u4e2a\u8868\u5f81\uff0c\u800c\u4e0d\u662f\u9677\u5165\u6700\u4f18\u7684\u5c40\u90e8\u89e3<\/span>\uff08\u89c1\u56fe8B\uff09<\/span>\uff1b<\/span><\/section>\n

        <\/span><\/section>\n
        \uff083\uff09\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u65f6\u7684\u6b63\u5219\u5316\u4f1a\u9f13\u52b1\u4e0d\u540c\u7684\u795e\u7ecf\u7f51\u7edc\u5728\u6240\u6709\u53ef\u80fd\u62df\u5408\u6570\u636e\u7684\u65b9\u5f0f\u91cc\u627e\u5230\u76f8\u5bf9\u7b80\u5355\u7684\u7b54\u6848<\/span>\uff08\u89c1\u56fe8C\uff09<\/span>\u3002<\/span><\/section>\n

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

        \u56fe8\uff1a\u968f\u7740\u89c4\u6a21\u589e\u5927\u80fd\u529b\u589e\u5f3a\uff0c\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u4f1a\u9010\u6e10\u5bf9\u9f50\u7684\u539f\u56e0\u731c\u60f3\u3002A. \u968f\u7740\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u9700\u8981\u89e3\u51b3\u66f4\u591a\u7684\u4efb\u52a1\uff0c\u80fd\u9002\u5e94\u8fd9\u4efb\u52a1\u7684\u53ef\u80fd\u8868\u5f81\u8303\u56f4\u5728\u7f29\u5c0f\u3002\u7c89\u8272\u692d\u5706\u4ee3\u8868\u80fd\u89e3\u51b3\u4efb\u52a11\u7684\u8868\u5f81\u7a7a\u95f4\uff0c\u7eff\u8272\u692d\u5706\u4ee3\u8868\u80fd\u89e3\u51b3\u4efb\u52a12\u7684\u8868\u5f81\u7a7a\u95f4\uff0c\u5982\u679c\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u8981\u540c\u65f6\u89e3\u51b3\u4e24\u4e2a\u4efb\u52a1\uff0c\u5176\u8868\u5f81\u7a7a\u95f4\u53ea\u80fd\u5728\u692d\u5706\u4ea4\u754c\u7684\u5730\u65b9\uff1bB. \u5982\u679c\u6700\u4f18\u8868\u5f81\u7a7a\u95f4\u5b58\u5728\u7684\u8bdd\uff0c\u89c4\u6a21\u8d8a\u5927\u7684\u795e\u7ecf\u7f51\u7edc\u80fd\u641c\u5bfb\u5230\u7684\u8868\u5f81\u7a7a\u95f4\uff08\u9ec4\u8272\u6216\u7eff\u8272\u692d\u5706\uff09\u66f4\u6709\u53ef\u80fd\u627e\u5230\u6700\u4f18\u8868\u5f81\u7684\u89e3\uff08\u9ed1\u8272\u4e94\u89d2\u661f\uff09\u800c\u4e0d\u662f\u5c40\u90e8\u89e3\uff08\u767d\u8272\u4e94\u89d2\u661f\uff09\uff1bC. \u6b63\u5219\u5316\u4f1a\u8ba9\u6a21\u578b\u5bfb\u627e\u62df\u5408\u6570\u636e\u89e3\u7684\u8f83\u7b80\u89e3\u3002\u7d2b\u8272\u56db\u8fb9\u5f62\u4ee3\u8868\u80fd\u89e3\u51b3\u4eba\u7269\u7684\u51fd\u6570\uff0c\u84dd\u8272\u692d\u5706\u4ee3\u8868\u51fd\u6570\u8981\u76f8\u5bf9\u7b80\u5355\uff0c\u6b63\u5219\u5316\u4f1a\u5e0c\u671b\u627e\u5230\u7684\u8868\u5f81\u7a7a\u95f4\u662f\u5176\u4ea4\u754c\u3002\u56fe\u6e90\u4e3a[44]\u3002<\/span><\/p>\n


        <\/section>\n
        \u5982\u679c\u8fd9\u4e2a\u7b80\u5355\u7684\u731c\u60f3\u662f\u6b63\u786e\u7684\uff0c\u90a3\u6211\u4eec\u662f\u5426\u671f\u5f85\u7406\u60f3\u8868\u5f81\u4f1a\u51fa\u73b0\u5462\uff1f\u5176\u548c\u751f\u7269\u5927\u8111\u7684\u8868\u5f81\u53c8\u6709\u4ec0\u4e48\u5173\u7cfb\uff1f\u6211\u4eec\u8be5\u671f\u5f85\u5b83\u4eec\u4e4b\u95f4\u6709\u5173\u7cfb\u5417\uff1f<\/span><\/section>\n

        <\/section>\n

        d. \u901a\u7528\u7ef4\u5ea6\uff08Universal Dimension\uff09[45]<\/span><\/strong><\/span><\/h2>\n

        <\/section>\n
        \u7814\u7a76\u8005\u4e3b\u8981\u5173\u6ce8\u7684\u662f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548c\u4eba\u8111\u89c6\u89c9\u76ae\u5c42\u5bf9\u81ea\u7136\u56fe\u50cf\u523a\u6fc0\u7684\u8868\u5f81\u5bf9\u9f50\u3002\u7ed9\u5b9a\u4e00\u7ec4\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u8868\u5f81\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6240\u6709\u4fe1\u606f\u90fd\u62c6\u5206\u6210\u4e0d\u540c\u7684\u7ef4\u5ea6\uff0c\u63a5\u4e0b\u6765\u6211\u4eec\u53ef\u4ee5\u5206\u6790\u5355\u4e2a\u7ef4\u5ea6\u88ab\u8fd9\u7ec4\u5185\u591a\u5c11\u7684\u795e\u7ecf\u7f51\u7edc\u5171\u4eab\uff0c\u5982\u679c\u8fd9\u4e2a\u6570\u91cf\u8f83\u9ad8\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba4\u4e3a\u8fd9\u4e2a\u7ef4\u5ea6\u662f\u5728\u5f88\u591a\u7684\u795e\u7ecf\u7f51\u7edc\u90fd\u5b58\u5728\u7684\uff0c\u6216\u8005\u53ef\u4ee5\u88ab\u7406\u89e3\u4e3a\u901a\u7528\u6027<\/span>\uff08Universality\uff09<\/span>\u8f83\u9ad8\u3002\u7814\u7a76\u53d1\u73b0\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u7ef4\u5ea6\u7684\u901a\u7528\u6027\u548c\u5176\u4e0e\u4eba\u8111\u89c6\u89c9\u76ae\u5c42\u7684\u5bf9\u9f50\u5ea6\u662f\u6b63\u76f8\u5173\u7684<\/span>\uff08\u89c1\u56fe9\uff09<\/span>\u3002<\/span><\/section>\n

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

        \u56fe9\uff1a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8868\u5f81\u4e2d\u7ef4\u5ea6\u7684\u901a\u7528\u6027\u548c\u5176\u4e0e\u5bf9\u4eba\u8111\u89c6\u89c9\u8868\u5f81\u7684\u5bf9\u9f50\u6210\u6b63\u76f8\u5173\uff0c\u4ece\u5de6\u5230\u53f3\u662f\u4e0d\u540c\u521d\u59cb\u5316\u3001\u4e0d\u540c\u67b6\u6784\u3001\u4e0d\u540c\u4efb\u52a1\u4ee5\u53ca\u672a\u7ecf\u8bad\u7ec3\u7684\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u5206\u6790\u3002\u56fe\u6e90\u4e3a[45]<\/span><\/p>\n


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

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

        <\/h1>\n

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        <\/section>\n

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        <\/svg><\/section>\n<\/section>\n<\/section>\n
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        5. \u7ed3\u8bed<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

        \n

        <\/section>\n

        <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


        <\/p>\n

        \u8fd9\u7bc7\u6587\u7ae0\u5bf9\u8868\u5f81\u5bf9\u9f50\u8fd9\u4e2a\u9886\u57df\u6709\u4e2a\u7b80\u8981\u68b3\u7406\uff0c\u5982\u679c\u5e0c\u671b\u6709\u66f4\u6df1\u5165\u7406\u89e3\u7684\u6b22\u8fce\u76f4\u63a5\u9605\u8bfb[5]\uff0c\u8bfb\u8005\u4e5f\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u7684\u95ee\u9898\u6e05\u5355\u53bb\u68b3\u7406\u81ea\u5df1\u6240\u5f97\uff1a<\/span><\/p>\n

        1. \u8868\u5f81\u5bf9\u9f50\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f\u80fd\u5426\u4e3e\u51fa\u4e00\u4e2a\u5177\u4f53\u6848\u4f8b\uff1b<\/span><\/p>\n

        2. \u5982\u679c\u6211\u4eec\u8bf4\u4e24\u4e2a\u7cfb\u7edf\u7684\u8868\u5f81\u63a5\u8fd1\uff0c\u53ef\u4ee5\u8bf4\u660e\u8fd9\u4e24\u4e2a\u7cfb\u7edf\u7684\u5176\u4ed6\u5185\u5728\u6027\u8d28<\/span>\uff08\u4f8b\u5982\uff0c\u5bf9\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u800c\u8a00\uff0c\u5176\u67b6\u6784\uff0c\u4efb\u52a1\u76ee\u6807\u548c\u5b66\u4e60\u7b97\u6cd5\uff09<\/span>\u4f1a\u6709\u66f4\u9ad8\u7684\u76f8\u4f3c\u6027\u5417\uff1f<\/span><\/p>\n

        3. \u5f53\u6211\u4eec\u8ba8\u8bba\u8868\u5f81\u7684\u7ef4\u5ea6\u65f6\uff0c\u53ef\u80fd\u5728\u8ba8\u8bba\u4ec0\u4e48\uff1f<\/span><\/p>\n

        4. \u8111\u795e\u7ecf\u7cfb\u7edf\u5bf9\u81ea\u7136\u56fe\u50cf\u7684\u89c6\u89c9\u8868\u5f81\u662f\u9ad8\u7ef4\u7684\u8fd8\u662f\u4f4e\u7ef4\u7684\uff1f<\/span><\/p>\n

        5. \u4ec0\u4e48\u662f\u67cf\u62c9\u56fe\u8868\u5f81\uff1f\u5176\u53ef\u80fd\u548c\u8111\u8868\u5f81\u7684\u5173\u8054\u662f\u4ec0\u4e48\uff1f\u5982\u679c\u6211\u4eec\u8981\u8d28\u7591\u5176\u7ed3\u679c\u7684\u6709\u6548\u6027\uff0c\u6709\u54ea\u4e9b\u53ef\u80fd\u7684\u65b9\u5411\uff1f<\/span><\/section>\n

        <\/em><\/span><\/section>\n
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        \n
        \u6ce83\uff1a\u8fd9\u7bc7\u6587\u7ae0\u8fdc\u8fdc\u6ca1\u6709\u6db5\u76d6\u76f8\u5173\u9886\u57df\u7684\u53d1\u5c55\uff0c\u611f\u5174\u8da3\u7684\u670b\u53cb\u6b22\u8fce\u81ea\u884c\u9605\u89c8\u53c2\u8003\u6587\u732e\u548c\u627e\u5230\u66f4\u591a\u6709\u8da3\u76f8\u5173\u7684\u5176\u4ed6\u8bba\u6587\uff0c\u6bd4\u5982\u5bf9\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5982\u4f55\u80fd\u5e2e\u52a9\u6211\u4eec\u89e3\u51b3\u795e\u7ecf\u79d1\u5b66\u95ee\u9898\uff0c\u53ef\u53c2\u89c1\u76f8\u5173\u6587\u7ae0[18\uff0c46-52]\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n

        <\/section>\n

        <\/section>\n
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        \u53c2\u8003\u8d44\u6599<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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        \n
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        [46]Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., … & Kording, K. P. (2019). A deep learning framework for neuroscience. Nature neuroscience<\/em>, 22<\/em>(11), 1761-1770.<\/span><\/section>\n
        [47]Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., … & Kietzmann, T. C. (2023). The neuroconnectionist research programme. Nature Reviews Neuroscience<\/em>, 24<\/em>(7), 431-450.<\/span><\/section>\n
        [48]Saxe, A., Nelli, S., & Summerfield, C. (2021). If deep learning is the answer, what is the question?. Nature Reviews Neuroscience<\/em>, 22<\/em>(1), 55-67.<\/span><\/section>\n
        [49]Kanwisher, N., Khosla, M., & Dobs, K. (2023). Using artificial neural networks to ask \u2018why\u2019 questions of minds and brains. Trends in Neurosciences<\/em>, 46<\/em>(3), 240-254.<\/span><\/section>\n
        [50]Kriegeskorte, N., & Douglas, P. K. (2018). Cognitive computational neuroscience. Nature neuroscience<\/em>, 21<\/em>(9), 1148-1160.<\/span><\/section>\n
        [51]Yang, G. R., & Wang, X. J. (2020). Artificial neural networks for neuroscientists: a primer. Neuron<\/em>, 107<\/em>(6), 1048-1070.<\/span><\/section>\n
        [52]Bowers, J. S., Malhotra, G., Dujmovi\u0107, M., Montero, M. L., Tsvetkov, C., Biscione, V., … & Blything, R. (2023). Deep problems with neural network models of human vision. Behavioral and Brain Sciences<\/em>, 46<\/em>, e385.<\/span><\/section>\n

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


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

        \n
        \n

        \uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8<\/strong>\u67e5\u770b\uff09<\/p>\n<\/section>\n<\/section>\n


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


        <\/p>\n

        \n
        \n
        \n
        \n

        \u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


        <\/p>\n

        \u4eba\u7c7b\u5927\u8111\u662f\u4e00\u4e2a\u7531\u6570\u4ee5\u767e\u4ebf\u8ba1\u7684\u795e\u7ecf\u5143\u76f8\u4e92\u8fde\u63a5\u6240\u6784\u6210\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u88ab\u8ba4\u4e3a\u662f\u300c\u5df2\u77e5\u5b87\u5b99\u4e2d\u6700\u590d\u6742\u7684\u7269\u4f53\u300d\u3002\u672c\u7740\u4fc3\u8fdb\u6765\u81ea\u795e\u7ecf\u79d1\u5b66\u3001\u7cfb\u7edf\u79d1\u5b66\u3001\u4fe1\u606f\u79d1\u5b66\u3001\u7269\u7406\u5b66\u3001\u6570\u5b66\u4ee5\u53ca\u8ba1\u7b97\u673a\u79d1\u5b66\u7b49\u4e0d\u540c\u9886\u57df\uff0c\u5bf9\u8111\u79d1\u5b66\u3001\u7c7b\u8111\u667a\u80fd\u4e0e\u8ba1\u7b97\u3001\u4eba\u5de5\u667a\u80fd\u611f\u5174\u8da3\u7684\u5b66\u672f\u5de5\u4f5c\u8005\u7684\u4ea4\u6d41\u4e0e\u5408\u4f5c\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u56fd\u5185\u5916\u591a\u6240\u77e5\u540d\u9ad8\u6821\u7684\u4e13\u5bb6\u5b66\u8005\u53d1\u8d77\u795e\u7ecf\u3001\u8ba4\u77e5\u3001\u667a\u80fd\u7cfb\u5217\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63\u2014\u2014\u300c\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u6db5\u76d6\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\u3001\u795e\u7ecf\u5143\u5efa\u6a21\u4e0e\u8ba1\u7b97\u3001\u8de8\u5c3a\u5ea6\u795e\u7ecf\u52a8\u529b\u5b66\u3001\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u4e0eAI\u7684\u878d\u5408\u56db\u5927\u6a21\u5757\uff0c\u5e76\u5e0c\u671b\u63a2\u8ba8\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u5bf9\u7c7b\u8111\u667a\u80fd\u548c\u4eba\u5de5\u667a\u80fd\u7684\u542f\u53d1\u3002\u8bfb\u4e66\u4f1a\u5df2\u5b8c\u7ed3\uff0c\u73b0\u5728\u62a5\u540d\u53ef\u52a0\u5165\u793e\u7fa4\u5e76\u89e3\u9501\u56de\u653e\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/section>\n


        <\/p>\n

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


        <\/p>\n

        \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u4ece\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\u5230\u7c7b\u8111\u4eba\u5de5\u667a\u80fd<\/a><\/p>\n


        <\/p>\n


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

        NeuroAI\u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


        <\/section>\n
        \u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f<\/span><\/section>\n

        <\/section>\n
        \u672c\u7740\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8ba4\u77e5\u79d1\u5b66\u548c\u8111\u79d1\u5b66\u7b49\u4e0d\u540c\u9886\u57df\u7684\u5b66\u672f\u5de5\u4f5c\u8005\u7684\u4ea4\u6d41\u4e0e\u5408\u4f5c\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u67f3\u6600\u54f2\u3001\u5317\u4eac\u5927\u5b66\u9c8d\u5e73\u78ca\u548c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u5415\u67c4\u6c5f\u4e09\u4f4d\u7814\u7a76\u5458\u5171\u540c\u53d1\u8d77\u4e86\u300cNeuroAI\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u805a\u7126\u5728\u89c6\u89c9\u3001\u8bed\u8a00\u548c\u5b66\u4e60\u9886\u57df\u4e2d\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u76f8\u5173\u7814\u7a76\uff0c\u671f\u5f85\u80fd\u591f\u67b6\u8d77\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5408\u4f5c\u6865\u6881\uff0c\u6fc0\u53d1\u8de8\u5b66\u79d1\u7684\u5b66\u672f\u706b\u82b1\u3002\u8bfb\u4e66\u4f1a\u5df2\u5b8c\u7ed3\uff0c\u73b0\u5728\u62a5\u540d\u53ef\u52a0\u5165\u793e\u7fa4\u5e76\u89e3\u9501\u56de\u653e\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/section>\n

        <\/section>\n

        <\/span><\/span><\/a><\/p>\n


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

        \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

        NeuroAI \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u63a2\u7d22\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u524d\u6cbf\u4ea4\u53c9\u9886\u57df<\/a><\/span><\/strong>
        <\/span><\/strong><\/p>\n


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


        <\/section>\n
        \u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong>
        <\/section>\n
        1. <\/strong>\u4ece\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\u5230\u667a\u80fd\u6d8c\u73b0\uff1a\u57fa\u4e8e\u795e\u7ecf\u590d\u6742\u6027\u7684\u7c7b\u8111\u4eba\u5de5\u667a\u80fd<\/a><\/strong><\/span><\/strong><\/section>\n
        2. <\/strong>\u77e5\u8bc6\u600e\u6837\u5728\u5927\u8111\u4e2d\u8868\u5f81\uff1fNature\u520a\u6587\u63ed\u793a\u62bd\u8c61\u77e5\u8bc6\u7684\u51e0\u4f55\u7ed3\u6784<\/a><\/strong><\/span><\/strong><\/section>\n
        3. <\/strong>\u524d\u6cbf\u8fdb\u5c55\uff1a\u7fa4\u8bba\u65b9\u6cd5\u89e3\u6790\u5927\u8111\u4fe1\u606f\u8868\u5f81\u7684\u5bf9\u79f0\u6027<\/a><\/strong><\/span><\/strong><\/section>\n
        5. <\/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
        <\/strong>6.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n

        7. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n


        <\/p>\n


        <\/p>\n

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

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

        \u5bfc\u8bed ChatGPT \u7406\u89e3\u8bed\u8a00\u7684\u65b9\u5f0f\u548c\u4eba\u7c7b\u4e00\u6837\u5417\uff1f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u4eba\u8111\u89c6\u89c9\u7cfb\u7edf\u7684\u8868\u5f81\u6709\u54ea\u4e9b\u7c7b\u4f3c\u4e4b\u5904\uff1f\u4e0d\u540c\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u4e4b\u95f4\u7684\u5dee\u5f02\u8981\u5982\u4f55\u5b9a\u91cf\u523b\u753b\uff1f\u672c\u6587\u4ecb\u7ecd\u4e86\u8868\u5f81\u5bf9\u9f50\uff08Representational Alignment\uff09\u8fd9\u4e2a\u8de8\u8d8a\u8ba4\u77e5\u79d1\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u7684\u901a\u7528\u6846\u67b6\uff0c \u5e76\u5c1d\u8bd5\u4ece\u8868\u5f81\u5bf9\u9f50\u8fd9\u4e2a\u89d2\u5ea6\u63a2\u8ba8\u4eba\u5de5\u667a\u80fd…<\/p>\n","protected":false},"author":0,"featured_media":53233,"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\/53244"}],"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=53244"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/53244\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/53233"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=53244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=53244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=53244"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=53244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}