{"id":47495,"date":"2024-01-08T21:47:06","date_gmt":"2024-01-08T13:47:06","guid":{"rendered":"https:\/\/swarma.org\/?p=47495"},"modified":"2024-01-08T21:47:06","modified_gmt":"2024-01-08T13:47:06","slug":"nat-human-behav-%e9%80%9f%e9%80%92%ef%bc%9a%e5%88%a9%e7%94%a8%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e9%a9%b1%e5%8a%a8%e5%92%8c%e6%8a%91%e5%88%b6%e4%ba%ba%e7%b1%bb%e8%af%ad%e8%a8%80%e7%bd%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=47495","title":{"rendered":"Nat. Human. Behav. \u901f\u9012\uff1a\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u9a71\u52a8\u548c\u6291\u5236\u4eba\u7c7b\u8bed\u8a00\u7f51\u7edc"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aDriving and suppressing the human language network using large language models<\/span><\/section>\n
\u671f\u520a\u540d\u79f0\uff1aNature Human Behaviour<\/em><\/span><\/section>\n
\u6591\u56fe\u5730\u5740\uff1ahttps:\/\/pattern.swarma.org\/paper\/2fd42544-aa8e-11ee-bc79-0242ac17000e<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.nature.com\/articles\/s41562-023-01783-7<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u8fd9\u9879\u7814\u7a76\u5229\u7528\u4eba\u5de5\u8bed\u8a00\u7f51\u7edc\u548c\u529f\u80fd\u6027\u6838\u78c1\u5171\u632f\u6210\u50cf<\/span>\uff08fMRI\uff09<\/span>\u7814\u7a76\u4e86\u5927\u8111\u8bed\u8a00\u5904\u7406\u533a\u57df\u5bf9\u4e0d\u540c\u53e5\u5b50\u7684\u53cd\u5e94\u3002\u7814\u7a76\u4eba\u5458\u4f7f\u7528\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6765\u8bc6\u522b\u90a3\u4e9b\u80fd\u9a71\u52a8\u548c\u6291\u5236\u5927\u8111\u8bed\u8a00\u7f51\u7edc\uff0c\u53d1\u73b0\u8bed\u8a00\u7684\u590d\u6742\u6027\u548c\u610f\u5916\u6027\u662f\u5173\u952e\u56e0\u7d20\u3002\u9700\u8981\u8ba4\u77e5\u52aa\u529b\u624d\u80fd\u89e3\u8bfb\u7684\u53e5\u5b50\uff0c\u5982\u8bed\u6cd5\u4e0d\u5bfb\u5e38\u6216\u542b\u4e49\u51fa\u4eba\u610f\u6599\u7684\u53e5\u5b50\uff0c\u5f15\u8d77\u7684\u5927\u8111\u53cd\u5e94\u6700\u9ad8\uff0c\u975e\u5e38\u76f4\u767d\u7684\u53e5\u5b50<\/span>\uff08\u6bd4\u5982”\u6211\u4eec\u5750\u5728\u6c99\u53d1\u4e0a”\uff09<\/span>\u51e0\u4e4e\u4e0d\u4f1a\u5f15\u8d77\u8fd9\u4e9b\u533a\u57df\u7684\u53cd\u5e94\uff0c\u800c\u65e0\u610f\u4e49\u7684\u5355\u8bcd\u5e8f\u5217\u4e5f\u4e0d\u4f1a\u5bf9\u5b83\u4eec\u4ea7\u751f\u592a\u5927\u5f71\u54cd\u3002\u8fd9\u9879\u7814\u7a76\u6df1\u5165\u63ed\u793a\u4e86\u5927\u8111\u5982\u4f55\u5904\u7406\u8bed\u8a00\uff0c\u5e76\u6709\u53ef\u80fd\u5e94\u7528\u4e8e\u7406\u89e3\u66f4\u9ad8\u5c42\u6b21\u7684\u8ba4\u77e5\u3002<\/span><\/section>\n

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\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u7814\u7a76\u4eba\u5458\u91cd\u70b9\u7814\u7a76\u4e86\u5927\u8111\u5de6\u534a\u7403\u7684\u8bed\u8a00\u5904\u7406\u533a\u57df\uff0c\u5176\u4e2d\u5305\u62ec\u5e03\u7f57\u5361\u533a\u4ee5\u53ca\u5927\u8111\u5de6\u4fa7\u989d\u53f6\u548c\u989e\u53f6\u7684\u5176\u4ed6\u90e8\u5206\u3002\u7814\u7a76\u4eba\u5458\u9996\u5148\u6c47\u7f16\u4e00\u7ec4 1000 \u4e2a\u53e5\u5b50\uff0c\u8fd9\u4e9b\u53e5\u5b50\u6765\u6e90\u5e7f\u6cdb\uff0c\u5305\u62ec\u5c0f\u8bf4\u3001\u53e3\u8bed\u8f6c\u5f55\u3001\u7f51\u7edc\u6587\u672c\u548c\u79d1\u5b66\u6587\u7ae0\u7b49\u3002\u4e94\u540d\u4eba\u7c7b\u53c2\u4e0e\u8005\u5728\u9605\u8bfb\u6bcf\u4e2a\u53e5\u5b50\u7684\u540c\u65f6\uff0c\u7814\u7a76\u4eba\u5458\u4f7f\u7528 fMRI \u6d4b\u91cf\u4e86\u4ed6\u4eec\u7684\u8bed\u8a00\u7f51\u7edc\u6d3b\u52a8\u3002\u7136\u540e\u4ed6\u4eec\u5c06\u8fd9 1000 \u4e2a\u53e5\u5b50\u8f93\u5165\u4e00\u4e2a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u2014\u2014\u8be5\u6a21\u578b\u53ef\u901a\u8fc7\u9884\u6d4b\u5927\u91cf\u6587\u672c\u4e2d\u7684\u4e0b\u4e00\u4e2a\u5355\u8bcd\u6765\u5b66\u4e60\u751f\u6210\u548c\u7406\u89e3\u8bed\u8a00\u2014\u2014\u5e76\u6d4b\u91cf\u8be5\u6a21\u578b\u5bf9\u6bcf\u4e2a\u53e5\u5b50\u7684\u6fc0\u6d3b\u6a21\u5f0f\u3002<\/span><\/section>\n

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\u83b7\u5f97\u6240\u6709\u8fd9\u4e9b\u6570\u636e\u540e\uff0c\u7814\u7a76\u4eba\u5458\u8bad\u7ec3\u4e86\u4e00\u4e2a\u88ab\u79f0\u4e3a\u201c\u7f16\u7801\u6a21\u578b\u201d\u7684\u6620\u5c04\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u5c06\u4eba\u8111\u4e2d\u7684\u6fc0\u6d3b\u6a21\u5f0f\u4e0e\u4eba\u5de5\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u6fc0\u6d3b\u6a21\u5f0f\u8054\u7cfb\u8d77\u6765\u3002\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u8be5\u6a21\u578b\u5c31\u80fd\u6839\u636e\u4eba\u5de5\u8bed\u8a00\u7f51\u7edc\u5bf9\u8fd9 1000 \u4e2a\u53e5\u5b50\u7684\u53cd\u5e94\uff0c\u9884\u6d4b\u4eba\u7c7b\u8bed\u8a00\u7f51\u7edc\u5bf9\u4efb\u4f55\u65b0\u53e5\u5b50\u7684\u53cd\u5e94\u3002<\/span><\/section>\n

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\u200d<\/span>\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/strong>Nature\u901f\u9012\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u81ea\u52a8\u5316\u5b66\u7814\u7a76<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2. <\/strong>\u6570\u5b66\u63a2\u7d22\u7684\u672a\u6765\uff1a\u4eceAI\u5f15\u5bfc\u4eba\u7c7b\u76f4\u89c9\u5230\u6570\u5b66\u5927\u8bed\u8a00\u6a21\u578b<\/a><\/strong><\/span><\/section>\n
3.<\/strong> <\/strong><\/strong><\/strong><\/span>Nature \u901f\u9012\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u7f16\u7801\u4e34\u5e8a\u77e5\u8bc6<\/a><\/strong><\/strong><\/span><\/section>\n
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4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5. <\/strong><\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\u5b66\u56edVIP\uff0c\u4e00\u6b21\u6027\u83b7\u53d6\u96c6\u667a\u5e73\u53f0\u6240\u6709\u5185\u5bb9\u8d44\u6e90<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n

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

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\u5173\u952e\u8bcd\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\uff0c\u8bed\u8a00\u7f51\u7edc\uff0c\u8bed\u8a00\u590d\u6742\u6027 \u8bba\u6587\u9898\u76ee\uff1aDriving and suppressing the human language network using large language models \u671f\u520a\u540d\u79f0\uff1aNature Human Behaviour \u6591\u56fe\u5730\u5740\uff1ahttps…<\/p>\n","protected":false},"author":0,"featured_media":47488,"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\/47495"}],"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=47495"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/47495\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/47488"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=47495"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=47495"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=47495"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=47495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}