{"id":26827,"date":"2021-06-06T22:59:58","date_gmt":"2021-06-06T14:59:58","guid":{"rendered":"https:\/\/swarma.org\/?p=26827"},"modified":"2021-06-06T22:59:58","modified_gmt":"2021-06-06T14:59:58","slug":"science%ef%bc%9a-%e6%80%8e%e6%a0%b7%e8%ae%a9%e6%84%8f%e8%af%86%e9%9a%be%e9%a2%98%e5%8f%98%e5%be%97%e7%ae%80%e5%8d%95%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=26827","title":{"rendered":"Science\uff1a \u600e\u6837\u8ba9\u610f\u8bc6\u96be\u9898\u53d8\u5f97\u7b80\u5355\uff1f"},"content":{"rendered":"
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Lucia Melloni\u3001Liad Mudrik\u3001Michael Pitts\u3001Christof Koch<\/span> | \u4f5c\u8005<\/strong><\/span><\/strong><\/p>\n

 <\/span><\/strong><\/span>\u6f58\u4f73\u680b<\/span> | \u8bd1\u8005<\/strong><\/span><\/strong><\/span><\/p>\n

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Making the hard problem of consciousness easier<\/span><\/p>\n<\/section>\n<\/section>\n

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https:\/\/science.sciencemag.org\/content\/372\/6545\/911<\/p>\n<\/blockquote>\n


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1. \u5c06\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\u7528\u4e8e\u795e\u7ecf\u79d1\u5b66<\/strong><\/strong><\/p>\n<\/section>\n

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\u8fd9\u4e2a\u95ee\u9898\u53ef\u4ee5\u901a\u8fc7\u79d1\u5b66\u5bf9\u624b\u4e4b\u95f4\u7684\u4e00\u79cd\u65b0\u5f62\u5f0f\u7684\u5408\u4f5c\u6765\u89e3\u51b3\u3002Daniel Kahneman\u9996\u5148\u5728\u884c\u4e3a\u7ecf\u6d4e\u5b66\u9886\u57df[10]\u5021\u8bae\uff0c\u5b83\u65e9\u4e8eArthur Eddington\u7684\u89c2\u5bdf\u6027\u7814\u7a76\u2014\u2014\u6d4b\u8bd5\u7231\u56e0\u65af\u5766\u7684\u5e7f\u4e49\u76f8\u5bf9\u8bba\u4e0e\u725b\u987f\u7684\u4e07\u6709\u5f15\u529b\u7406\u8bba\u7684\u5bf9\u6297\u6027[11]\uff1b\u5bf9\u6297\u6027\u5408\u4f5c\u4f9d\u8d56\u4e8e\u786e\u5b9a\u76f8\u4e92\u7ade\u4e89\u7684\u7406\u8bba\u4e2d\u6700\u5177\u8bca\u65ad\u6027\u7684\u5206\u6b67\u70b9<\/strong>\uff0c\u5f97\u5230\u5b83\u4eec\u7684\u9884\u6d4b\uff0c\u7136\u540e\u8bbe\u8ba1\u76f4\u63a5\u6d4b\u8bd5\u8fd9\u4e9b\u4e0d\u540c\u9884\u6d4b\u7684\u5b9e\u9a8c<\/strong>\u3002\u5728\u8fc7\u53bb\u7684\u4e24\u5e74\u4e2d\uff0c\u51e0\u4e2a\u5c0f\u7ec4\u91c7\u7528\u4e86\u8fd9\u79cd\u65b9\u6cd5\uff0c\u54cd\u5e94\u8fd9\u4e2a\u65e8\u5728\u52a0\u901f\u610f\u8bc6\u7814\u7a76\u7684\u5021\u8bae\u3002\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u51e0\u79cd\u610f\u8bc6\u7406\u8bba\u6b63\u5728\u4ee5\u8fd9\u79cd\u65b9\u5f0f\u8fdb\u884c\u8bc4\u4f30\uff0c\u4ee5\u6d4b\u8bd5\u8fd9\u4e9b\u7406\u8bba\u7ed9\u51fa\u7684\u76f8\u4e92\u7ade\u4e89\u7684\u89e3\u91ca\u2014\u2014\u795e\u7ecf\u6d3b\u52a8\u4f55\u65f6\u4f55\u5730\u5f15\u8d77\u610f\u8bc6\u4f53\u9a8c\u3002<\/span><\/section>\n

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\u5168\u5c40\u795e\u7ecf\u5143\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba<\/span>\uff08the Global Neuronal Workspace Theory\uff0cGNWT\uff09<\/span>\u8ba4\u4e3a\uff0c\u610f\u8bc6\u662f\u901a\u8fc7\u524d\u989d\u9876\u53f6\u533a\u57df\u548c\u8bb8\u591a\u9ad8\u7ea7\u611f\u89c9\u76ae\u5c42\u533a\u7684\u4e92\u8fde\u7f51\u7edc\u7684\u5168\u5c40\u5e7f\u64ad\u548c\u4fe1\u606f\u653e\u5927\u6765\u5b9e\u4f8b\u5316\u7684\u3002\u611f\u89c9\u533a\u5177\u6709\u4e0d\u540c\u7684\u529f\u80fd\uff0c\u4ece\u7269\u4f53\u7684\u7279\u5f81\u5904\u7406\u5230\u5355\u8bcd\u8ba4\u77e5\u3002\u8fd9\u4e9b\u611f\u89c9\u533a\u7684\u4fe1\u606f\u5728\u5c01\u88c5\u6a21\u5757\u4e2d\u5904\u7406\uff0c\u4fdd\u6301\u65e0\u610f\u8bc6\u7684\u72b6\u6001\u3002\u524d\u989d\u9876\u53f6\u7f51\u7edc\u5177\u6709\u6574\u5408\u548c\u6267\u884c\u7684\u529f\u80fd\uff0c\u5305\u62ec\u9009\u62e9\u6027\u6ce8\u610f\u548c\u5de5\u4f5c\u8bb0\u5fc6\u3002\u6309\u7167\u5168\u5c40\u795e\u7ecf\u5143\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\uff0c\u5fc5\u987b\u6709\u523a\u6fc0\u7528\u6765\u89e6\u53d1\u6d3b\u52a8\uff0c\u8be5\u6d3b\u52a8\u6709\u52a9\u4e8e\u5c06\u611f\u89c9\u4fe1\u606f\u5206\u53d1\u5230\u5927\u8111\u7684\u8bb8\u591a\u90e8\u5206\u4ee5\u4f9b\u8fdb\u4e00\u6b65\u5904\u7406\u548c\u62a5\u544a\u3002\u6b63\u662f\u8fd9\u79cd\u5177\u6709\u4e13\u95e8\u529f\u80fd\u7684\u5b50\u7cfb\u7edf\u7684\u8bb8\u591a\u6a21\u5757\u7684\u5168\u5c40\u5e7f\u64ad\u6784\u6210\u4e86\u610f\u8bc6\u3002<\/span><\/section>\n

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\u76f8\u53cd\uff0c\u6574\u5408\u4fe1\u606f\u7406\u8bba<\/span>\uff08the Integrated Information Theory\uff0cIIT\uff09<\/span>[5]\u8ba4\u4e3a\uff0c\u610f\u8bc6\u5e94\u8be5\u4ece\u56e0\u679c\u201c\u529b\u91cf\u201d\u7684\u89d2\u5ea6\u6765\u7406\u89e3\uff0c\u5b83\u53cd\u6620\u4e86\u67d0\u4e9b\u795e\u7ecf\u5143\u7ed3\u6784\u4ea7\u751f\u7684\u6700\u5927\u4e0d\u53ef\u7ea6\u6574\u5408\u4fe1\u606f\u7684\u6570\u91cf\u3002\u57fa\u4e8e\u6570\u5b66\u548c\u795e\u7ecf\u89e3\u5256\u5b66\uff0c\u6574\u5408\u4fe1\u606f\u7406\u8bba\u8ba4\u4e3a\u540e\u76ae\u8d28\u662f\u4ea7\u751f\u6700\u5927\u6574\u5408\u4fe1\u606f\u7684\u7406\u60f3\u4f4d\u7f6e<\/strong>\u3002\u5728\u8be5\u7406\u8bba\u4e2d\uff0c\u610f\u8bc6\u4e0d\u662f\u8f93\u5165-\u8f93\u51fa\u4fe1\u606f\u5904\u7406\uff0c\u800c\u662f\u795e\u7ecf\u5143\u7f51\u7edc\u5f71\u54cd\u81ea\u8eab\u7684\u5185\u5728\u80fd\u529b\u6216\u529b\u91cf\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u53ea\u8981\u610f\u8bc6\u4f53\u9a8c\u5b58\u5728\uff0c\u610f\u8bc6\u7684\u795e\u7ecf\u5143\u57fa\u8d28\u5c31\u4f1a\u6301\u7eed\u5b58\u5728\u3002\u4e00\u4e2a\u7cfb\u7edf\u7684\u56e0\u679c\u201c\u529b\u91cf\u201d\u8d8a\u5927\uff0c\u5b83\u5c31\u8d8a\u6709\u610f\u8bc6\u3002\u5bf9\u4e8e\u6574\u5408\u4fe1\u606f\u7406\u8bba\u6765\u8bf4\uff0c\u610f\u8bc6\u4f53\u9a8c\u7684\u5185\u5bb9\u662f\u4e00\u4e2a\u56e0\u679c\u7ed3\u6784<\/span>\uff08\u6574\u5408\u4fe1\u606f\uff09<\/span>\uff0c\u800c\u5bf9\u4e8e\u5168\u5c40\u795e\u7ecf\u5143\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\uff0c\u610f\u8bc6\u4f53\u9a8c\u662f\u5168\u5c40\u5e7f\u64ad\u7684\u4fe1\u606f\u3002<\/span><\/section>\n

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\u8fd9\u4e24\u79cd\u4e89\u8bae\u90fd\u662f\u76ee\u524d\u6b63\u5728\u4f7f\u7528\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\u8fdb\u884c\u5b9e\u8bc1\u68c0\u9a8c\u7684\u7406\u8bba\u5206\u6b67\u3002\u5176\u4e2d\u4e00\u4e2a\u5408\u4f5c\u9879\u76ee COGITATE\u8054\u5408\u4f53<\/span>\uff08GNWT\u548cIIT\u5408\u4f5c\uff1a\u6d4b\u8bd5\u610f\u8bc6\u4f53\u9a8c\u7684\u66ff\u4ee3\u7406\u8bba\uff09<\/span>\u6b63\u5728\u6536\u96c6\u6570\u636e\uff0c\u6700\u8fd1\u53d1\u5e03\u4e86\u4e00\u4efd\u8be6\u7ec6\u7684\u9884\u6ce8\u518c\u62a5\u544a\uff0c\u5176\u4e2d\u6982\u8ff0\u4e86\u65b9\u6cd5\u3001\u9884\u6d4b\u548c\u8ba1\u5212\u5206\u6790<\/span>\uff08https:\/\/osf.io\/mbcfy\uff09<\/span>\u3002\u8fd9\u4e9b\u5b9e\u9a8c\u662f\u7531\u795e\u7ecf\u79d1\u5b66\u5bb6\u548c\u54f2\u5b66\u5bb6\u8bbe\u8ba1\u7684\uff0c\u4ed6\u4eec\u4e0e\u7406\u8bba\u6ca1\u6709\u76f4\u63a5\u8054\u7cfb\uff0c\u4f46\u4e0e\u6bcf\u79cd\u7406\u8bba\u7684\u5021\u5bfc\u8005\u5bc6\u5207\u5408\u4f5c\u3002\u5b9e\u9a8c\u6b63\u5728\u516d\u4e2a\u72ec\u7acb\u7684\u5b9e\u9a8c\u5ba4\u8fdb\u884c\u3002<\/span><\/section>\n

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\u7b80\u800c\u8a00\u4e4b\uff0c\u5176\u4e2d\u4e00\u4e2a\u5b9e\u9a8c\u8bbe\u8ba1\u6d89\u53ca\u4e00\u4e2a\u5438\u5f15\u4eba\u7684\u89c6\u9891\u6e38\u620f\uff0c\u80cc\u666f\u4e2d\u6709\u53ef\u89c1\u548c\u4e0d\u53ef\u89c1\u7684\u523a\u6fc0\uff0c\u4ee5\u786e\u5b9a\u662f\u5426\u5b58\u5728\u4e0e\u4efb\u52a1\u65e0\u5173\u7684\u89c6\u89c9\u7684\u795e\u7ecf\u76f8\u5173\u6027\u3002\u5728\u53e6\u4e00\u4e2a\u5b9e\u9a8c\u4e2d\uff0c\u523a\u6fc0\u4f1a\u6301\u7eed\u4e0d\u540c\u7684\u65f6\u95f4\uff0c\u4ee5\u7814\u7a76\u89c6\u89c9\u7684\u795e\u7ecf\u5173\u8054\u4f1a\u5b58\u5728\u591a\u957f\u65f6\u95f4\u3002\u88ab\u8bd5\u8005\u7684\u795e\u7ecf\u5143\u6d3b\u52a8\u88ab\u901a\u8fc7\u4fb5\u5165\u6027\u548c\u975e\u4fb5\u5165\u6027\u65b9\u6cd5\u8fdb\u884c\u6d4b\u91cf\uff0c\u4ece\u529f\u80fd\u6027\u6838\u78c1\u5171\u632f\u6210\u50cf\u3001\u540c\u6b65\u8111\u78c1\u56fe\u3001\u8111\u7535\u56fe\u5230\u4fb5\u5165\u6027\u8111\u7535\u56fe\uff0c\u5e76\u8de8\u65b9\u6cd5\u96c6\u6210\u4ee5\u6d4b\u8bd5\u4e0d\u540c\u7406\u8bba\u7684\u9884\u6d4b\u3002\u5b83\u4eec\u96c6\u4e2d\u5728\u4e24\u4e2a\u5173\u952e\u95ee\u9898\u4e0a\uff1a\uff081\uff09\u5927\u8111\u4e2d\u610f\u8bc6\u7684\u89e3\u5256\u5b66\u8db3\u8ff9\u5728\u54ea\u91cc<\/strong>\u2014\u2014\u5b83\u4eec\u662f\u5426\u4f4d\u4e8e IIT \u63d0\u51fa\u7684\u540e\u76ae\u8d28\u201c\u70ed\u533a\u201d[15]\uff0c\u6216\u8005\u662f\u5426\u5982GNWT\u9884\u6d4b\u7684\u90a3\u6837\u4f4d\u4e8e\u524d\u989d\u53f6\u76ae\u8d28[4]\u3002\uff082\uff09\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u610f\u8bc6\u7684\u611f\u89c9\u662f\u5982\u4f55\u4fdd\u6301\u7684<\/strong>\uff1a\u53ea\u8981\u610f\u8bc6\u4f53\u9a8c\u6301\u7eed\u5b58\u5728\uff0c\u6f5c\u5728\u7684\u795e\u7ecf\u72b6\u6001\u662f\u5426\u4f1a\u4e0eIIT\u4fdd\u6301\u4e00\u81f4\uff0c\u6216\u8005\u7cfb\u7edf\u6700\u521d\u88ab\u6fc0\u53d1\uff0c\u7136\u540e\u8870\u9000\u5e76\u4fdd\u6301\u6c89\u9ed8\uff0c\u76f4\u5230\u65b0\u7684\u6fc0\u53d1\u6807\u5fd7\u51fa\u73b0\uff0c\u6b63\u5982GNWT\u6240\u8ba4\u4e3a\u7684\u90a3\u6837<\/span>\uff08\u5982\u4e0b\u56fe\u6240\u793a\uff09<\/span>\u3002\u4e00\u65e6\u5927\u8111\u7684\u6570\u636e\u88ab\u6536\u96c6\u548c\u5206\u6790\uff0c\u5b83\u4eec\u5c06\u88ab\u63d0\u4f9b\u7ed9\u4efb\u4f55\u4eba\u3002\u4f9d\u9760\u5bf9\u6297\u6027\u5bf9\u8bdd\u4e0e\u5408\u4f5c\uff0c\u5f00\u653e\u79d1\u5b66\u5b9e\u8df5\u3001\u6807\u51c6\u5316\u534f\u8bae\u3001\u5185\u90e8\u590d\u5236\u548c\u56e2\u961f\u79d1\u5b66\uff0c\u8fd9\u4e9b\u4e3e\u63aa\u65e8\u5728\u4fc3\u8fdb\u610f\u8bc6\u9886\u57df\u7684\u5b9e\u8bc1\u8fdb\u6b65\uff0c\u5e76\u603b\u4f53\u4e0a\u6539\u53d8\u79d1\u5b66\u5b9e\u8df5\u7684\u793e\u4f1a\u5b66\u3002<\/span><\/section>\n

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\u56fe3. \u4f7f\u7528\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\u6d4b\u8bd5\u5047\u8bbe\u3002\u5168\u5c40\u795e\u7ecf\u5143\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba (GNWT) \u548c\u6574\u5408\u4fe1\u606f\u7406\u8bba (IIT) \u7684\u610f\u8bc6\u795e\u7ecf\u76f8\u5173\u6027\u5360\u636e\u5927\u8111\u4e2d\u4e0d\u540c\u4e14\u91cd\u53e0\u7684\u533a\u57df\uff0c\u6bcf\u4e2a\u7406\u8bba\u90fd\u9884\u6d4b\u8fd9\u4e9b\u533a\u57df\u4e4b\u95f4\u6216\u5185\u90e8\u7684\u6d3b\u52a8\u540c\u6b65\u3002<\/span><\/p>\n


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\u89e3\u51b3\u5927\u95ee\u9898\u53ef\u80fd\u9700\u8981\u201c\u5927\u79d1\u5b66\u201d\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u95ee\u9898\u66f4\u6709\u53ef\u80fd\u88ab\u7edf\u4e00\u5730\u89e3\u51b3\uff0c\u800c\u4e0d\u662f\u901a\u8fc7\u5b64\u7acb\u7684\u3001\u5e73\u884c\u7684\u3001\u5c0f\u89c4\u6a21\u7684\u5c1d\u8bd5<\/strong>\u3002\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\u5efa\u7acb\u5728\u5927\u578b\u5408\u4f5c\u673a\u6784<\/span>\uff08\u5982\u827e\u4f26\u8111\u79d1\u5b66\u7814\u7a76\u6240\uff09<\/span>\u3001\u4eba\u7c7b\u8fde\u63a5\u7ec4\u9879\u76ee\u548c\u56fd\u9645\u8111\u795e\u7ecf\u79d1\u5b66\u5b9e\u9a8c\u5ba4\u7b49\u5408\u4f5c\u9879\u76ee\u7684\u6210\u529f\u7684\u57fa\u7840\u4e0a\u3002\u5728\u6b64\u4e4b\u524d\uff0c\u4eba\u4eec\u5728\u7269\u7406\u5b66\u9886\u57df\u4e2d\u4e3b\u52a8\u91c7\u7528\u4e86\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\uff0c\u4f8b\u5982\u6b27\u6d32\u6838\u5b50\u7814\u7a76\u7ec4\u7ec7 <\/span>\uff08CERN\uff09<\/span>\u7684\u5927\u578b\u5f3a\u5b50\u5bf9\u649e\u673a\u548c\u6fc0\u5149\u5e72\u6d89\u5f15\u529b\u6ce2\u5929\u6587\u53f0<\/span>\uff08LIGO\uff09<\/span>\u5b9e\u9a8c\u3002\u901a\u8fc7\u8fd9\u4e00\u7cfb\u5217\u5bf9\u6297\u6027\u5408\u4f5c\uff0c\u795e\u7ecf\u79d1\u5b66\u5bb6\u5c06\u66f4\u63a5\u8fd1\u4e8e\u7406\u89e3\u610f\u8bc6\u53ca\u610f\u8bc6\u5982\u4f55\u878d\u5165\u7269\u8d28\u4e16\u754c\uff0c\u540c\u65f6\u4fc3\u8fdb\u79d1\u5b66\u5b9e\u8df5\u7684\u53d1\u5c55<\/strong>\u3002\u5bf9\u4e8e\u91c7\u7528\u5bf9\u6297\u6027\u5408\u4f5c\u65b9\u6cd5\u7684\u6700\u521d\u7684\u7406\u8bba\uff0cGNWT\u548cIIT\u53ef\u80fd\u90fd\u4e0d\u592a\u6b63\u786e\u3002\u65e0\u8bba\u7ed3\u679c\u5982\u4f55\uff0c\u795e\u7ecf\u79d1\u5b66\u9886\u57df\u90fd\u53ef\u4ee5\u5229\u7528\u8fd9\u4e9b\u7ed3\u679c\uff0c\u5728\u63d0\u51fa\u6709\u5173\u610f\u8bc6\u7684\u65b0\u601d\u60f3\u548c\u4ee5\u540c\u6837\u7684\u65b9\u5f0f\u6d4b\u8bd5\u5176\u4ed6\u6f5c\u5728\u7406\u8bba\u7684\u65b9\u9762\u53d6\u5f97\u8fdb\u5c55\u3002\u610f\u8bc6\u95ee\u9898\u80af\u5b9a\u4ecd\u7136\u5f88\u56f0\u96be\uff0c\u4f46\u7406\u89e3\u53e4\u8001\u7684\u8eab\u5fc3\u95ee\u9898\u4f1a\u53d8\u5f97\u5bb9\u6613\u4e00\u4e9b\u3002<\/span><\/section>\n

<\/section>\n
\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/section>\n
1. D. J. Chalmers, J. Conscious. Stud. 2, 200 (1995).<\/span><\/section>\n
2. T.Bayneetal.,TrendsNeurosci.43,6(2020).<\/span><\/section>\n
3. F.Crick,C.Koch,Nat.Neurosci.6,119(2003).<\/span><\/section>\n
4. G.A.Mashour,P.Roelfsema,J.P.Changeux,S.Dehaene, Neuron 105, 776 (2020).<\/span><\/section>\n
5. G. Tononi, M. Boly, M. Massimini, C. Koch, Nat. Rev. Neurosci. 17, 450 (2016).<\/span><\/section>\n
6. R.Brownetal.,TrendsCogn.Sci.23,754(2019).<\/span><\/section>\n
7. V.A.F.Lamme,Cogn.Neurosci.1,204(2010).<\/span><\/section>\n
8. A.Demertzietal.,Sci.Adv.5,eaat7603(2019).<\/span><\/section>\n
9. A.G.Casalietal.,Sci.Transl.Med.5,198ra105(2013).<\/span><\/section>\n
10. D.Kahneman,Am.Psychol.58,723(2003).<\/span><\/section>\n
11. F. W. Dyson, A. S. Eddington, C. Davidson, Philos. Trans. R. Soc. A. 220, 291 (1920).<\/span><\/section>\n
12. V.A.F.Lamme,P.R.Roelfsema,TrendsNeurosci.23,571 (2000).<\/span><\/section>\n
13. N. Block, Trends Cogn. Sci. 9, 46 (2005).<\/span><\/section>\n
14. H.Lau,D.Rosenthal,TrendsCogn.Sci.15,365(2011).<\/span><\/section>\n
15. C.Koch,M.Massimini,M.Boly,G.Tononi, Nat.Rev. Neurosci. 17, 666 (2016).<\/span><\/section>\n

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