{"id":61825,"date":"2025-07-10T23:05:52","date_gmt":"2025-07-10T15:05:52","guid":{"rendered":"https:\/\/swarma.org\/?p=61825"},"modified":"2025-07-10T23:05:52","modified_gmt":"2025-07-10T15:05:52","slug":"%e6%99%ba%e8%83%bd%e4%b9%8b%e9%95%9c%ef%bc%9aneuroai-%e5%a6%82%e4%bd%95%e5%8f%8d%e6%98%a0%e5%a4%a7%e8%84%91%e4%b8%8e%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%9a%84%e6%9c%aa%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=61825","title":{"rendered":"\u667a\u80fd\u4e4b\u955c\uff1aNeuroAI \u5982\u4f55\u53cd\u6620\u5927\u8111\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u672a\u6765"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1a<\/span>NeuroAI\uff0c\u4eba\u5de5\u667a\u80fd\uff0c\u5fae\u578b\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff0c\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u60c5\u666f\u8bb0\u5fc6<\/span><\/span><\/strong><\/p>\n<\/section>\n

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1. \u7528 AI \u6765\u7814\u7a76\u5927\u8111<\/span>\uff08AI for Neuro\uff09<\/span>\uff1a\u5728\u5b9e\u9a8c\u4e0a\uff0cAI \u6280\u672f\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u5bb6\u81ea\u52a8\u5316\u6570\u636e\u5206\u6790\u3001\u63d0\u53d6\u795e\u7ecf\u548c\u884c\u4e3a\u7279\u5f81\uff1b\u5728\u7406\u8bba\u4e0a\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u80fd\u6a21\u62df\u4eba\u8111\u4e2d\u795e\u7ecf\u5143\u7684\u6d3b\u52a8\u89c4\u5f8b\u4e0e\u8ba4\u77e5\u8fc7\u7a0b\uff0c\u4ece\u800c\u9a8c\u8bc1\u3001\u751a\u81f3\u63d0\u51fa\u65b0\u7684\u795e\u7ecf\u79d1\u5b66\u7406\u8bba\u3002<\/span><\/span><\/p>\n

2. \u7528\u5927\u8111\u6765\u542f\u53d1 AI<\/span>\uff08Neuro for AI\uff09<\/span>\uff1a\u6211\u4eec\u80fd\u5426\u7528\u795e\u7ecf\u79d1\u5b66\u6280\u672f\u7406\u89e3 AI \u7cfb\u7edf\u7684\u201c\u5185\u90e8\u5de5\u4f5c\u539f\u7406\u201d\uff1f\u6b64\u5916\uff0c\u56e0\u4e3a\u751f\u7269\u5927\u8111\u7684\u4fe1\u606f\u5904\u7406\u6548\u7387\u8fdc\u8d85\u5f53\u524d\u7684AI\u7cfb\u7edf\uff0c\u6211\u4eec\u80fd\u5426\u57fa\u4e8e\u795e\u7ecf\u79d1\u5b66\u7684\u542f\u53d1\u8ba9 AI \u66f4\u806a\u660e\u3001\u66f4\u8282\u80fd\u3001\u66f4\u7c7b\u4eba\uff1f<\/span><\/span><\/p>\n


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AI for Neuro\uff1a\u7528\u5fae\u578b\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u8bfb\u61c2\u751f\u7269\u51b3\u7b56\u7684\u79d8\u5bc6<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aDiscovering cognitive strategies with tiny recurrent neural networks<\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1ahttps:\/\/www.nature.com\/articles\/s41586-025-09142-4<\/span><\/span><\/p>\n<\/blockquote>\n


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\u4f20\u7edf\u7684\u8ba4\u77e5\u5efa\u6a21\u65b9\u6cd5\u901a\u5e38\u7531\u7814\u7a76\u8005\u57fa\u4e8e\u4efb\u52a1\u7ed3\u6784\u624b\u52a8\u6784\u5efa\uff0c\u6784\u9020\u51fa\u4e00\u4e2a\u88ab\u8ba4\u4e3a\u662f\u201c\u6700\u4f18\u201d\u7684\u7b56\u7565\u6a21\u578b\uff0c\u88ab\u79f0\u4e3a\u8d1d\u53f6\u65af\u6700\u4f18\u6a21\u578b\u3002\u5b83\u5047\u8bbe\u751f\u7269\u4e2a\u4f53\u50cf\u7edf\u8ba1\u5b66\u5bb6\u4e00\u6837\uff0c\u4f1a\u6574\u5408\u6240\u6709\u53ef\u83b7\u5f97\u7684\u4fe1\u606f\uff0c\u4ee5\u6982\u7387\u4e0a\u6700\u5408\u7406\u7684\u65b9\u5f0f\u505a\u51fa\u5224\u65ad\u3002\u4f8b\u5982\u533b\u751f\u5728\u8bca\u65ad\u65f6\uff0c\u7efc\u5408\u75c5\u4eba\u75c7\u72b6\u3001\u68c0\u9a8c\u7ed3\u679c\u3001\u6d41\u884c\u75c5\u8d8b\u52bf\u4e0e\u4ee5\u5f80\u7ecf\u9a8c\u7b49\uff0c\u9010\u6b65\u79ef\u7d2f\u8bc1\u636e\u4ee5\u5224\u65ad\u75be\u75c5\u72b6\u6001\uff0c\u8fd9\u79cd\u4e0d\u786e\u5b9a\u4fe1\u606f\u4e0b\u7684\u6574\u5408\u6b63\u4f53\u73b0\u4e86\u8d1d\u53f6\u65af\u63a8\u7406\u7684\u6838\u5fc3\u601d\u60f3\u3002\u8d1d\u53f6\u65af\u6700\u4f18\u6a21\u578b\u4f1a\u5047\u8bbe\u4e2a\u4f53\u5bf9\u4fe1\u606f\u548c\u4e0d\u786e\u5b9a\u6027\u90fd\u6709\u6700\u4f18\u7684\u4f30\u8ba1\u3002\u53e6\u4e00\u7c7b\u5e38\u89c1\u6a21\u578b\u662f\u5f3a\u5316\u5b66\u4e60\uff0c\u5b83\u5047\u8bbe\u4eba\u6216\u52a8\u7269\u901a\u8fc7\u4e0e\u73af\u5883\u4e92\u52a8\uff0c\u4ece\u83b7\u5f97\u7684\u201c\u5956\u52b1\u201d\u6216\u201c\u60e9\u7f5a\u201d\u4e2d\u5b66\u4e60\u884c\u4e3a\u7b56\u7565\u3002\u6bd4\u5982\uff0c\u5728\u4e00\u4e2a\u7b80\u5355\u7684\u201c\u8d4c\u535a\u673a\u201d\u4efb\u52a1\u4e2d\uff0c\u53c2\u4e0e\u8005\u9762\u5bf9\u4e24\u53f0\u770b\u8d77\u6765\u76f8\u540c\u7684\u8001\u864e\u673a\uff0c\u5176\u4e2d\u4e00\u53f0\u4e2d\u5956\u7387\u8f83\u9ad8\u3002\u5982\u679c\u53c2\u4e0e\u8005\u53cd\u590d\u5c1d\u8bd5\u5e76\u9010\u6e10\u503e\u5411\u4e8e\u9009\u62e9\u90a3\u53f0\u66f4\u5e38\u4e2d\u5956\u7684\u673a\u5668\uff0c\u5c31\u53ef\u4ee5\u88ab\u8ba4\u4e3a\u662f\u5b66\u4f1a\u4e86\u5229\u7528\u5956\u52b1\u4fe1\u606f\u8fdb\u884c\u7b56\u7565\u4f18\u5316\u3002\u6b64\u7c7b\u5b66\u4e60\u8fc7\u7a0b\u53ef\u7531\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u5efa\u6a21\uff0c\u6a21\u62df\u884c\u4e3a\u7684\u4ef7\u503c\u66f4\u65b0\u673a\u5236\u3002<\/span><\/span><\/p>\n


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\u8fd9\u4e9b\u6a21\u578b\u5177\u6709\u4e00\u4e2a\u5171\u540c\u7279\u70b9\uff1a\u5b83\u4eec\u7ed3\u6784\u7b80\u6d01\uff0c\u53c2\u6570\u91cf\u5c11\uff0c\u6bd4\u5982\u201c\u5b66\u4e60\u7387\u201d<\/span>\uff08\u63a7\u5236\u65b0\u4fe1\u606f\u66f4\u65b0\u901f\u5ea6\uff09<\/span>\u548c\u201c\u51b3\u7b56\u566a\u97f3\u201d<\/span>\uff08\u53cd\u6620\u884c\u4e3a\u7684\u968f\u673a\u6027\uff09<\/span>\uff0c\u56e0\u6b64\u5bb9\u6613\u89e3\u91ca\u548c\u62df\u5408\u3002\u4f46\u4e5f\u6b63\u56e0\u4e3a\u5176\u7b80\u6d01\u6027\u4ee5\u53ca\u9690\u542b\u7684\u6700\u4f18\u6027\u5047\u8bbe\uff0c\u5b83\u4eec\u5f80\u5f80\u96be\u4ee5\u6355\u6349\u771f\u5b9e\u751f\u7269\u884c\u4e3a\u4e2d\u5e7f\u4e3a\u5b58\u5728\u7684\u590d\u6742\u6027\u548c\u6b21\u4f18\u6027\u3002\u6bd4\u5982\uff0c\u5b9e\u9a8c\u4e2d\u53d1\u73b0\uff0c\u52a8\u7269\u5728\u5956\u52b1\u7ed3\u6784\u6539\u53d8\u540e\uff0c\u5e38\u5e38\u4f9d\u7136\u56fa\u5b88\u4e4b\u524d\u7684\u9009\u62e9\u504f\u597d\u2014\u2014\u54ea\u6015\u65b0\u7684\u9009\u62e9\u66f4\u4f18\u3002\u8fd9\u79cd\u201c\u56fa\u6267\u201d\u7684\u73b0\u8c61\u96be\u4ee5\u88ab\u6700\u4f18\u6a21\u578b\u89e3\u91ca\u3002\u7814\u7a76\u8005\u5f80\u5f80\u9700\u8981\u5728\u6a21\u578b\u4e2d\u4eba\u4e3a\u6dfb\u52a0\u989d\u5916\u7684\u201c\u60ef\u6027\u201d\u53c2\u6570\uff0c\u6216\u8005\u8bbe\u8ba1\u67d0\u4e9b\u7279\u5b9a\u7684\u89c4\u5219\u6765\u903c\u8fd1\u5b9e\u9645\u884c\u4e3a\u3002\u4f46\u968f\u7740\u6240\u9700\u89e3\u91ca\u7684\u884c\u4e3a\u7ec6\u8282\u589e\u591a\uff0c\u6a21\u578b\u7ed3\u6784\u5c31\u53d8\u5f97\u8d8a\u6765\u8d8a\u7e41\u7410\uff0c\u5145\u6ee1\u201c\u8865\u4e01\u5f0f\u201d\u7684\u5047\u8bbe\uff0c\u4e0d\u4ec5\u6613\u5f15\u5165\u4e3b\u89c2\u504f\u89c1\uff0c\u4e5f\u96be\u4ee5\u63a8\u5e7f\u5230\u5176\u4ed6\u4efb\u52a1\u4e2d\u3002<\/span><\/span><\/p>\n


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

\u8fd9\u5f15\u51fa\u4e86\u4e00\u4e2a\u6839\u672c\u6027\u95ee\u9898\uff1a<\/span><\/span>\u662f\u5426\u5b58\u5728\u4e00\u79cd\u65e0\u9700\u9884\u8bbe\u7684\u5efa\u6a21\u65b9\u5f0f\uff0c\u80fd\u591f\u8ba9\u6a21\u578b\u76f4\u63a5\u4ece\u884c\u4e3a\u6570\u636e\u4e2d\u201c\u81ea\u4e3b\u53d1\u73b0\u201d\u7b56\u7565\uff1f<\/span><\/span><\/strong>\u53d7\u5230\u8fd1\u5e74\u6765\u7269\u7406\u5b66\u4e2d\u201c\u81ea\u52a8\u516c\u5f0f\u53d1\u73b0\u201d\u601d\u60f3\u7684\u542f\u53d1\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u65b9\u6cd5\uff1a\u4f7f\u7528\u5fae\u578b\u5faa\u73af\u795e\u7ecf\u7f51\u7edc<\/span>\uff08recurrent neural network\uff0cRNN\uff09<\/span>\u4f5c\u4e3a\u901a\u7528\u7b56\u7565\u5b66\u4e60\u5668\uff0c\u5bf9\u4e2a\u4f53\u7684\u884c\u4e3a\u52a8\u6001\u8fdb\u884c\u5efa\u6a21<\/span>\uff08<\/span><\/span>\u56fe1<\/span><\/span><\/strong>\uff09<\/span>\u3002<\/span><\/span><\/span><\/p>\n


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

<\/section>\n

\u56fe1 RNN\u6a21\u578b\u6982\u89c8 (a)<\/span><\/span><\/strong><\/em><\/span> \u8ba4\u77e5\u6a21\u578b\u4e0e\u795e\u7ecf\u7f51\u7edc\u5728\u7ed3\u6784\u4e0a\u975e\u5e38\u76f8\u4f3c\uff1a\u6a21\u578b\u8f93\u5165\u4f1a\u66f4\u65b0d\u4e2a\u52a8\u6001\u53d8\u91cf\uff0c\u8fd9\u4e9b\u53d8\u91cf\u518d\u901a\u8fc7 softmax \u8f93\u51fa\u5f53\u524d\u52a8\u4f5c\u7684\u6982\u7387 <\/span><\/span><\/em><\/span>P(a<\/span><\/span>t<\/span><\/sub>)<\/span><\/span><\/span><\/span>\u3002<\/span><\/span><\/em><\/span>(b)<\/span><\/span><\/strong><\/em><\/span><\/span> \u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u9690\u85cf\u5355\u5143\u4f1a\u8ba1\u7b97\u8f93\u5165\u4e0e\u524d\u4e00\u65f6\u523b\u72b6\u6001 h(t-1) \u7684\u51fd\u6570\u3002<\/span><\/span><\/em><\/span><\/span><\/p>\n


<\/span><\/em><\/span><\/span><\/p>\n

RNN \u662f\u4e00\u79cd\u64c5\u957f\u5efa\u6a21\u65f6\u95f4\u5e8f\u5217\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff0c\u80fd\u81ea\u52a8\u6355\u6349\u884c\u4e3a\u968f\u65f6\u95f4\u6f14\u53d8\u7684\u4f9d\u8d56\u5173\u7cfb\u3002\u6211\u4eec\u6240\u91c7\u7528\u7684\u6a21\u578b\u6781\u4e3a\u7cbe\u7b80\uff0c\u4ec5\u5305\u542b 1 \u81f3 4 \u4e2a\u9690\u85cf\u5355\u5143\u3002\u8fd9\u8ba9\u6a21\u578b\u5728\u4fdd\u7559\u8db3\u591f\u8868\u8fbe\u80fd\u529b\u7684\u540c\u65f6\uff0c\u4fdd\u6301\u8f83\u5f3a\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u4f7f\u5f97\u5bf9\u5176\u5185\u90e8\u673a\u5236\u7684\u5206\u6790\u6210\u4e3a\u53ef\u80fd\u3002<\/span><\/span><\/p>\n


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

\u6211\u4eec\u7684\u6838\u5fc3\u7814\u7a76\u95ee\u9898\u662f\uff1a<\/span><\/span>\u8fd9\u79cd\u7ed3\u6784\u6781\u7b80\u3001\u5b8c\u5168\u6570\u636e\u9a71\u52a8\u7684\u6a21\u578b\uff0c\u662f\u5426\u80fd\u591f\u5728\u65e0\u9700\u4efb\u4f55\u4eba\u4e3a\u5047\u8bbe\u7684\u524d\u63d0\u4e0b\uff0c\u6355\u6349\u590d\u6742\u4e14\u975e\u6700\u4f18\u7684\u884c\u4e3a\u6a21\u5f0f<\/span><\/span><\/strong>\u2014\u2014<\/span><\/span>\u6bd4\u5982\u4eba\u4eec\u5e38\u5e38\u61d2\u5f97\u6362\u3001\u7231\u7528\u8001\u529e\u6cd5<\/span>\uff08\u201c\u504f\u597d\u4fdd\u6301\u201d\uff09<\/span>\u6216\u5728\u201c\u5c1d\u9c9c\u201d\u548c\u201c\u5403\u8001\u672c\u201d\u4e4b\u95f4\u53cd\u590d\u6743\u8861<\/span>\uff08\u201c\u63a2\u7d22-\u5229\u7528\u201d\u6743\u8861\uff09<\/span>\u7b49<\/span><\/span><\/span>\uff1f\u5b83\u662f\u5426\u80fd\u591f\u5728\u591a\u6837\u5316\u4efb\u52a1\u4e2d\u8d85\u8d8a\u4f20\u7edf\u5f3a\u5316\u5b66\u4e60\u6216\u6df7\u5408\u7b56\u7565\u6a21\u578b\u7684\u8868\u73b0\uff1f<\/span><\/span><\/span><\/p>\n


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

\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u8fd9\u4e9b\u5fae\u578b\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5728\u516d\u7c7b\u7ecf\u5178\u5956\u52b1\u5b66\u4e60\u4efb\u52a1\u4e2d<\/span>\uff08\u6db5\u76d6\u4eba\u7c7b\u3001\u7334\u5b50\u3001\u5c0f\u9f20\u3001\u5927\u9f20\u7684\u884c\u4e3a\u6570\u636e\uff09<\/span>\u8868\u73b0\u51fa\u8272\uff0c\u5728\u884c\u4e3a\u9884\u6d4b\u7cbe\u5ea6\u4e0a\u5168\u9762\u4f18\u4e8e\u4f20\u7edf\u6a21\u578b<\/span>\uff08\u5982\u56fe2\u6240\u793a\uff09<\/span>\uff0c\u5e76\u53ef\u4e0e\u66f4\u5927\u89c4\u6a21\u7684\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u76f8\u5ab2\u7f8e<\/span>\uff08\u5982\u56fe3\u6240\u793a\uff09<\/span>\u3002<\/span><\/span>\u8fd9\u8868\u660e\uff0c\u5373\u4fbf\u4f7f\u7528\u9ad8\u5ea6\u538b\u7f29\u7684\u7f51\u7edc\uff0c\u5b83\u4f9d\u65e7\u80fd\u5b66\u4f1a\u5e76\u4e3e\u4e00\u53cd\u4e09\u5730\u6a21\u4eff\u5404\u79cd\u590d\u6742\u51b3\u7b56\uff0c\u5c55\u73b0\u51fa\u7528\u6a21\u578b\u7406\u89e3\u52a8\u7269\u548c\u4eba\u7c7b\u7684\u884c\u4e3a\u7684\u5de8\u5927\u6f5c\u529b\u3002<\/span><\/span><\/strong><\/span><\/span><\/p>\n


<\/span><\/strong><\/span><\/span><\/p>\n

<\/section>\n

\u56fe2 RNN\u5728\u52a8\u7269\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002<\/span><\/span><\/strong><\/em><\/span>(d) \u4efb\u52a1\u7ed3\u6784\u793a\u610f\uff1a\u88ab\u8bd5\u5728\u51b3\u7b56\u72b6\u6001\u4e0b\u9009\u62e9\u52a8\u4f5cA1\u6216A2\uff0c\u968f\u540e\u8fdb\u5165\u4e24\u4e2a\u53ef\u80fd\u7684\u4e8c\u7ea7\u72b6\u6001 S1\u6216 S2\uff0c\u8fd9\u4e9b\u72b6\u6001\u4f1a\u4ee5\u4e00\u5b9a\u6982\u7387\u4ea7\u751f\u5956\u52b1\u3002(e) \u6a21\u578b\u5728\u4e0d\u540cd\uff08\u52a8\u6001\u53d8\u91cf\u7684\u6570\u91cf\uff09\u4e0b\u7684\u8868\u73b0\uff08\u6570\u503c\u8d8a\u4f4e\u8d8a\u597d\uff09\u3002<\/span><\/span><\/em><\/span><\/span><\/p>\n


<\/span><\/em><\/span><\/span><\/p>\n

<\/section>\n

\u56fe3 \u84b8\u998f\u6a21\u578b\u7684\u8868\u73b0\u6548\u679c\u3002<\/span><\/span><\/strong><\/em><\/span>\uff08c\uff09\u4e09\u79cd\u4eba\u7c7b\u4efb\u52a1\u7ed3\u6784\uff0c\u4ece\u5de6\u5230\u53f3\u5206\u522b\u662f\u4e09\u81c2\u53cd\u8f6c\u5b66\u4e60\u4efb\u52a1\u3001\u56db\u81c2\u6f02\u79fb\u8d4c\u535a\u673a\u4efb\u52a1\u3001\u539f\u59cb\u4e24\u9636\u6bb5\u4efb\u52a1\u3002\uff08d\uff09RNN\u6a21\u578b\u8868\u73b0\u4e0e\u53d8\u91cf\u7ef4\u5ea6\u7684\u5173\u7cfb\uff0c\u5de6\u56fe\u4e09\u81c2\u53cd\u8f6c\u5b66\u4e60\u4efb\u52a1\uff08n = 1010\uff09\uff1b\u4e2d\u56fe\u4e3a\u56db\u81c2\u6f02\u79fb\u8d4c\u535a\u673a\u4efb\u52a1\uff08n = 918\uff09\uff1b\u53f3\u56fe\u4e3a\u539f\u59cb\u4e24\u9636\u6bb5\u4efb\u52a1\uff08n = 1961\uff09\u3002<\/span><\/span><\/em><\/span><\/span><\/p>\n


<\/span><\/em><\/span><\/span><\/p>\n

\u66f4\u91cd\u8981\u7684\u662f\uff0c\u8fd9\u4e9b\u4ec5\u6709 1\u20134 \u4e2a\u795e\u7ecf\u5143\u6784\u6210\u7684 RNN \u5728\u884c\u4e3a\u9884\u6d4b\u4e0a\u4e0d\u4ec5\u51c6\u786e\uff0c\u800c\u4e14\u5177\u5907\u5f88\u5f3a\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/span><\/strong><\/span>\u5728\u6a21\u578b\u4e2d\uff0c\u52a8\u7269\u884c\u4e3a\u7684\u51b3\u7b56\u968f\u65f6\u95f4\u53d8\u5316\uff0c\u53ef\u4f7f\u7528\u52a8\u529b\u7cfb\u7edf\u7684\u5206\u6790\u65b9\u6cd5\uff0c\u7528\u4e00\u5f20\u56fe\u6765\u5448\u73b0\u51b3\u7b56\u8fc7\u7a0b\uff0c\u4ee5\u5f53\u524d\u52a8\u4f5c\u504f\u597d<\/span>\uff08Logit\uff09<\/span>\u4e3a\u5750\u6807\u3001\u7528\u7bad\u5934\u6216\u989c\u8272\u6307\u793a\u4e0b\u4e00\u6b65\u7684\u53d8\u5316\u65b9\u5411\u4e0e\u5e45\u5ea6\uff0c\u5982\u56fe4a-c\u6240\u793a\u3002\u8fd9\u4e9b\u56fe\u7247\u6e05\u6670\u5730\u5c55\u793a\u4e86\u4e0d\u540c\u6a21\u578b\u5728\u8fd0\u884c\u65f6\u7684\u5173\u952e\u7279\u70b9\uff0c\u6bd4\u5982\u54ea\u4e9b\u72b6\u6001\u662f\u7a33\u5b9a\u7684\uff0c\u54ea\u4e9b\u72b6\u6001\u4f1a\u5438\u5f15\u6a21\u578b\u9760\u8fd1\uff0c\u4ee5\u53ca\u6a21\u578b\u5982\u4f55\u5728\u72b6\u6001\u95f4\u5207\u6362\uff0c\u6e05\u6670\u5448\u73b0\u601d\u7ef4\u5982\u4f55\u4ece\u4e00\u4e2a\u60f3\u6cd5\u6216\u72b6\u6001\u8f6c\u53d8\u5230\u53e6\u4e00\u4e2a\u3002\u8fd9\u79cd\u52a8\u529b\u7cfb\u7edf\u65b9\u6cd5\u5e26\u6765\u4e86\u5f88\u591a\u610f\u6599\u4e4b\u5916\u7684\u53d1\u73b0\uff0c\u4f8b\u5982\uff0c\u67d0\u4e9b\u884c\u4e3a\u7b56\u7565\u4f1a\u6839\u636e\u4e0d\u540c\u7684\u72b6\u6001\u8c03\u6574\u5b66\u4e60\u901f\u5ea6\uff0c\u7c7b\u4f3c\u4eba\u5728\u4e0d\u540c\u60c5\u5883\u4e0b\u6539\u53d8\u5b66\u4e60\u65b9\u5f0f\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u63ed\u793a\u4e86\u4e00\u4e9b\u4f20\u7edf\u65b9\u6cd5\u96be\u4ee5\u53d1\u73b0\u7684\u65b0\u5fc3\u7406\u673a\u5236\uff0c\u5982\u5956\u52b1\u540e\u53ef\u80fd\u8868\u73b0\u51fa\u201c\u65e0\u6240\u8c13\u201d\u503e\u5411\uff0c\u51b3\u7b56\u65f6\u4e0d\u518d\u5728\u610f\u5dee\u522b<\/span>\uff08\u56fe4d-f\uff09<\/span>\u3002<\/span><\/span><\/span><\/span><\/p>\n

<\/section>\n

\u56fe4 \u57fa\u4e8e\u52a8\u529b\u7cfb\u7edf\u5206\u6790\u7684\u6a21\u578b\u89e3\u91ca\u548c\u6bd4\u8f83 (a)<\/span><\/span><\/strong><\/em><\/span> \u793a\u610f\u56fe\u5c55\u793a\u4e86\u6a21\u578b\u5728\u8fde\u7eed\u8bd5\u6b21\u4e2d\u504f\u597d\u7684\u53d8\u5316\u8fc7\u7a0b\u3002<\/span><\/span><\/em><\/span>(b-c)<\/span><\/span><\/strong><\/em><\/span> \u76f8\u4f4d\u56fe\uff08phase portraits\uff09\u5c55\u793a\u4e86\u5f53\u524d\u504f\u597d\uff08logit\uff09\u3001\u9009\u62e9\u7684\u52a8\u4f5c\uff08A1 \u84dd\u8272\uff1bA2 \u7ea2\u8272\uff09\u548c\u83b7\u5f97\u7684\u5956\u52b1\uff08R=0 \u6d45\u8272\uff1bR=1 \u6df1\u8272\uff09\u5171\u540c\u4f5c\u7528\u4e0b\uff0c\u52a8\u4f5c\u504f\u597d\u7684\u53d8\u5316\u60c5\u51b5\u3002<\/span><\/span><\/em><\/span>(b)<\/span><\/span><\/strong><\/em><\/span> \u62df\u5408\u4e86\u7334\u5b50\u5728\u53cd\u8f6c\u5b66\u4e60\u4efb\u52a1\u4e2d\u884c\u4e3a\u7684\u4e24\u4e2a\u4e00\u7ef4\u6a21\u578b\u7684\u76f8\u4f4d\u56fe\u3002<\/span><\/span><\/em><\/span>(c)<\/span><\/span><\/strong><\/em><\/span> \u62df\u5408\u4e86\u540c\u4e00\u7334\u5b50\u6570\u636e\u4e0b\u7684\u4e00\u7ef4RNN\u6a21\u578b\u7684\u76f8\u4f4d\u56fe\u3002<\/span><\/span><\/em><\/span>(d-f)<\/span><\/span><\/strong><\/em><\/span><\/span> \u504f\u597d\u8bbe\u5b9a\u70b9\u5206\u6790\u3002<\/span><\/span><\/em><\/span><\/span><\/p>\n


<\/span><\/em><\/span><\/span><\/p>\n

\u6781\u5177\u542f\u53d1\u6027\u7684\u662f\uff0c\u6211\u4eec\u53d1\u73b0\u5373\u4f7f\u662f\u9762\u5bf9\u590d\u6742\u4efb\u52a1\uff0c\u63cf\u8ff0\u5355\u4e2a\u4e2a\u4f53\u7684\u884c\u4e3a\u6240\u9700\u7684\u6700\u5c0f\u7f51\u7edc\u7ef4\u5ea6\u4e5f\u5f88\u4f4e\u3002\u8fd9\u63d0\u793a\u4e86\u6bcf\u4e2a\u52a8\u7269\u5728\u7279\u5b9a\u4efb\u52a1\u4e2d\u7684\u201c\u6700\u5c0f\u884c\u4e3a\u7ef4\u5ea6\u201d\u662f\u6709\u9650\u7684<\/span>\uff08\u56fe2e\uff09<\/span><\/span>\u3002<\/span><\/span><\/strong>\u56e0\u6b64\u6211\u4eec\u7684\u65b9\u6cd5\u4e0d\u4ec5\u6709\u52a9\u4e8e\u523b\u753b\u4e2a\u4f53\u5dee\u5f02\uff0c\u4e5f\u4e3a\u8ba4\u77e5\u5efa\u6a21\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b0\u7684\u3001\u53ef\u91cf\u5316\u7684<\/span><\/span>\u6307\u6807<\/span><\/span><\/span>\u6765\u63cf\u8ff0\u884c\u4e3a\u7684\u590d\u6742\u6027\u3002\u56e0\u6b64\uff0c\u672c\u7814\u7a76\u4e0d\u4ec5\u6269\u5c55\u4e86\u8ba4\u77e5\u5efa\u6a21\u7684\u5de5\u5177\u96c6\uff0c\u4e5f\u4e3a\u9ad8\u53ef\u89e3\u91ca\u6027\u884c\u4e3a\u5efa\u6a21\u63d0\u4f9b\u4e86\u65b0\u7684\u65b9\u5411\u3002<\/span><\/span><\/span><\/p>\n


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

\u8fd9\u4e00\u7814\u7a76\u5c55\u793a\u4e86\u4e00\u4e2a\u5173\u952e\u8f6c\u53d8\uff1a\u795e\u7ecf\u7f51\u7edc\u4e0d\u518d\u53ea\u662f\u4e00\u4e2a\u884c\u4e3a\u62df\u5408\u7684\u9ed1\u7bb1\u5de5\u5177\uff0c\u800c\u6b63\u5728\u6210\u4e3a\u4e00\u79cd\u8ba4\u77e5\u663e\u5fae\u955c\u3002\u5b83\u4e0d\u4ec5\u5177\u5907\u6570\u636e\u9a71\u52a8\u7684\u5efa\u6a21\u80fd\u529b\uff0c\u8fd8\u80fd\u901a\u8fc7\u538b\u7f29\u4e0e\u62bd\u8c61\uff0c\u63ed\u793a\u51fa\u6f5c\u5728\u7684\u884c\u4e3a\u751f\u6210\u673a\u5236\u3002\u8fd9\u79cd\u7814\u7a76\u8303\u5f0f\u4e0e\u5f53\u524d \u201cAI for Science\u201d \u7684\u8d8b\u52bf\u9ad8\u5ea6\u4e00\u81f4\uff0c\u5373\uff1a<\/span><\/span>\u795e\u7ecf\u7f51\u7edc\u4f5c\u4e3a\u6a21\u578b\u53d1\u73b0\u7684\u4e2d\u4ecb\u5de5\u5177\uff0c\u80fd\u591f\u4ece\u9ad8\u7ef4\u5b9e\u9a8c\u6570\u636e\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u77e5\u8bc6\u3002<\/span><\/span><\/strong><\/span><\/p>\n


<\/span><\/strong><\/span><\/p>\n

\u4e0d\u8fc7\u4e3a\u4e86\u5b9e\u73b0\u77e5\u8bc6\u7684\u53ef\u89e3\u91ca\u8868\u8fbe\uff0c\u6211\u4eec\u9700\u8981\u627e\u5230\u9002\u5f53\u7684\u7ed3\u6784\u5316\u8868\u793a\u5f62\u5f0f\u3002\u7406\u60f3\u7684\u8868\u793a\u5f62\u5f0f\u5e94\u6ee1\u8db3\u4e24\u70b9\uff1a<\/span><\/span><\/span>\u4e00\u662f\u5177\u5907\u826f\u597d\u7684\u9884\u6d4b\u80fd\u529b\uff0c\u4e8c\u662f\u5bf9\u4eba\u7c7b\u7814\u7a76\u8005\u800c\u8a00\u8bed\u4e49\u6e05\u6670\u3001\u903b\u8f91\u900f\u660e\u3002<\/span><\/span><\/strong><\/span>\u4f8b\u5982\uff0cAlphaFold \u5728\u86cb\u767d\u8d28\u5efa\u6a21\u4e2d\u901a\u8fc7\u56fe\u7ed3\u6784\u8868\u793a\u6c28\u57fa\u9178\u95f4\u7684\u51e0\u4f55\u7ea6\u675f\uff1b\u7269\u7406\u5b66\u4e2d\u7684\u81ea\u52a8\u7406\u8bba\u53d1\u73b0\u65b9\u6cd5\u5e38\u7528\u7b26\u53f7\u8868\u8fbe\u5f0f\u63ed\u793a\u53d8\u91cf\u95f4\u7684\u5bf9\u79f0\u6027\u548c\u5b88\u6052\u5b9a\u5f8b\uff0c\u4e8c\u8005\u90fd\u5177\u6709\u9ad8\u53ef\u89e3\u91ca\u6027\u3002\u5728\u6211\u4eec\u7684\u7814\u7a76\u4e2d\uff0c\u8fd9\u79cd\u7ed3\u6784\u5316\u5f62\u5f0f\u4f53\u73b0\u4e3a\u4f4e\u7ef4\u79bb\u6563\u52a8\u529b\u7cfb\u7edf\uff0c\u4e5f\u5c31\u662f\u4e00\u4e2a\u7528\u5c11\u6570\u51e0\u4e2a\u5173\u952e\u6307\u6807\uff0c\u63cf\u8ff0\u548c\u9884\u6d4b\u4e8b\u4ef6\u968f\u65f6\u95f4\u5982\u4f55\u4e00\u6b65\u6b65\u53d8\u5316\uff0c\u8fd9\u4e3a\u751f\u7269\u4f53\u7b56\u7565\u884c\u4e3a\u63d0\u4f9b\u4e86\u4e00\u79cd\u53ef\u8ba1\u7b97\u3001\u53ef\u89c6\u5316\u4e14\u6613\u4e8e\u7406\u89e3\u7684\u62bd\u8c61\u7ed3\u6784\u3002<\/span><\/span><\/span><\/span><\/p>\n


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

\u5728\u8fd9\u7bc7\u7528\u5fae\u578b\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u6765\u7406\u89e3\u751f\u7269\u51b3\u7b56\u7684\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u53d1\u73b0\u53ef\u4ee5<\/span><\/span><\/span>\u901a\u8fc7\u5408\u9002\u7684\u7ed3\u6784\u5316\u8868\u793a\uff0c\u5229\u7528AI\u7b97\u6cd5\u63ed\u793a\u4eba\u7c7b\u884c\u4e3a\u80cc\u540e\u7684\u6f5c\u5728\u751f\u6210\u673a\u5236\uff0c\u65e2\u51c6\u786e\u53c8\u6709\u5f88\u5f3a\u7684\u53ef\u89e3\u91ca\u3002<\/span><\/span><\/strong><\/span>\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709\u5176\u4ed6\u7684\u7814\u7a76\u8def\u5f84\u53ef\u4ee5\u8fbe\u5230\u540c\u6837\u7684\u76ee\u6807\u3002\u4f8b\u5982\u5f3a\u8c03\u53ef\u8ba1\u7b97\u6027\u4e0e\u5f62\u5f0f\u53ef\u89e3\u91ca\u6027\u7684\u65b9\u6cd5[2]\uff0c\u901a\u8fc7\u5f15\u5165\u7b26\u53f7\u56de\u5f52\u6280\u672f\uff0c\u628a RNN \u5b66\u5f97\u7684\u4f4e\u7ef4\u79bb\u6563\u52a8\u529b\u7cfb\u7edf\u8f6c\u8bd1\u4e3a\u5f62\u5f0f\u7b80\u6d01\u7684\u51b3\u7b56\u65b9\u7a0b\uff0c\u5728\u4e0d\u727a\u7272\u9884\u6d4b\u7cbe\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u4f7f\u6a21\u578b\u89c4\u5219\u4e00\u76ee\u4e86\u7136\uff1b\u4ee5\u53ca\u5f3a\u8c03\u8bed\u4e49\u8868\u8fbe\u4e0e\u6cdb\u5316\u80fd\u529b\u7684\u65b9\u6cd5[3]\uff0c\u5c06\u5b9e\u9a8c\u4efb\u52a1\u4e0e\u88ab\u8bd5\u9010\u8bd5\u6b21\u884c\u4e3a\u5e8f\u5217\u8f6c\u6362\u6210\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\uff0c\u5e76\u7528\u5176\u5fae\u8c03\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u7ecf\u5fae\u8c03\u7684\u6a21\u578b\u5728\u672a\u89c1\u4efb\u52a1\u4e0e\u65b0\u88ab\u8bd5\u4e0a\u4f9d\u7136\u4fdd\u6301\u51c6\u786e\u9884\u6d4b\uff0c\u81ea\u7136\u8bed\u8a00\u672c\u8eab\u4e5f\u89c6\u4e3a\u4e00\u79cd\u9ad8\u5ea6\u7075\u6d3b\u3001\u7ed3\u6784\u4e30\u5bcc\u7684\u8ba4\u77e5\u8868\u5f81\u5f62\u5f0f\uff0c\u53ef\u80fd\u6210\u4e3a\u7406\u89e3\u590d\u6742\u4eba\u7c7b\u884c\u4e3a\u7684\u901a\u7528\u5efa\u6a21\u63a5\u53e3\u3002\u8fd9\u4e9b\u4e0d\u540c\u7684\u65b9\u6cd5\u5171\u540c\u6784\u6210\u4e86\u5f53\u524d\u201c\u4ee5\u4eba\u5de5\u667a\u80fd\u4fc3\u8fdb\u79d1\u5b66\u53d1\u73b0\u201d\u8303\u5f0f\u4e2d\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\u3002<\/span><\/span><\/span><\/span><\/p>\n


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


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

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

<\/span><\/section>\n
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<\/section>\n<\/section>\n<\/section>\n
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Neuro for AI\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e0e\u4eba\u7c7b\u60c5\u666f\u8bb0\u5fc6\u7684\u76f8\u4f3c\u6027<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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

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


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

\u5728\u524d\u6587\u4e2d\u6211\u4eec\u770b\u5230\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4eba\u7c7b\u7684\u8ba4\u77e5\u673a\u5236\u3002\u800c\u5728\u4e0b\u9762\u8fd9\u7bc7\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u53cd\u8fc7\u6765\u5c1d\u8bd5\u7528\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u7406\u8bba\uff0c\u6765\u89e3\u91ca\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/span>\uff08LLMs\uff09<\/span>\u6240\u5c55\u73b0\u51fa\u7684\u67d0\u4e9b\u667a\u80fd\u7279\u6027\u3002<\/span><\/span><\/p>\n


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

<\/section>\n
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\u8bba\u6587\u6765\u6e90\uff1aNeurlPS 2024<\/span><\/span><\/p>\n

\u8bba\u6587\u6807\u9898\uff1aLinking In-context Learning in Transformers to Human Episodic Memory<\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/0ba385c3ea3bb417ac6d6a33e24411bc-Paper-Conference.pdf<\/span><\/span><\/p>\n<\/blockquote>\n

\u5927\u8bed\u8a00\u6a21\u578b\u62e5\u6709\u7684\u4e00\u79cd\u4ee4\u4eba\u60ca\u8bb6\u7684\u80fd\u529b\u53eb\u4f5c\u201c\u4e0a\u4e0b\u6587\u5b66\u4e60\u201d<\/span>\uff08in-context learning\uff09<\/span>\uff1a\u5b83\u4eec\u5728\u4e0d\u7ecf\u8fc7\u4efb\u4f55\u53c2\u6570\u66f4\u65b0\u7684\u60c5\u51b5\u4e0b\uff0c\u4ec5\u51ed\u8f93\u5165\u4e2d\u7684\u51e0\u4e2a\u793a\u4f8b\uff0c\u5c31\u80fd\u4e34\u65f6\u638c\u63e1\u65b0\u7684\u4efb\u52a1\u6216\u6a21\u5f0f\u3002\u8fd9\u79cd\u80fd\u529b\u4e0d\u53ea\u662f\u6a21\u4eff\u683c\u5f0f\uff0c\u800c\u662f\u80fd\u5728\u590d\u6742\u4efb\u52a1\u4e2d\u5c55\u793a\u51fa\u4e00\u5b9a\u7a0b\u5ea6\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/span><\/span><\/p>\n


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

\u6bd4\u5982\uff0c\u5728\u4e00\u4e2a\u8bed\u6cd5\u5b66\u4e60\u4efb\u52a1\u4e2d\uff0c\u5982\u679c\u6a21\u578b\u8f93\u5165\u5982\u4e0b\u4e0d\u5b58\u5728\u7684\u8bcd\uff1a<\/span><\/span><\/p>\n

  mize \u2192 mized<\/span><\/span><\/p>\n

  glorp \u2192 glorpped<\/span><\/span><\/p>\n

  tarn \u2192 ?<\/span><\/span><\/p>\n


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

\u5b83\u53ef\u4ee5\u6839\u636e\u524d\u4e24\u4e2a\u4f8b\u5b50\u81ea\u52a8\u201c\u5f52\u7eb3\u201d\u51fa\u6784\u8bcd\u89c4\u5f8b\uff0c\u5224\u65ad\u51fa tarn \u5e94\u8be5\u53d8\u4e3a tarned\u3002\u8fd9\u610f\u5473\u7740\uff0c\u6a21\u578b\u80fd\u591f\u5728\u4e0a\u4e0b\u6587\u4e2d\u8bc6\u522b\u6a21\u5f0f\u3001\u4e34\u65f6\u62bd\u8c61\u51fa\u89c4\u5219\uff0c\u5e76\u5c06\u5176\u8fc1\u79fb\u5230\u65b0\u4f8b\u4e0a\u3002\u8fd9\u79cd\u201c\u4e3e\u4e00\u53cd\u4e09\u201d\u7684\u80fd\u529b\u8ba9\u4eba\u8054\u60f3\u5230\u4eba\u7c7b\u7684\u7c7b\u6bd4\u63a8\u7406\u548c\u5de5\u4f5c\u8bb0\u5fc6\uff1a\u6211\u4eec\u4e5f\u80fd\u5728\u770b\u5230\u51e0\u4e2a\u4f8b\u5b50\u540e\uff0c\u8fc5\u901f\u62bd\u53d6\u5176\u4e2d\u7684\u89c4\u5f8b\uff0c\u5e76\u7528\u4e8e\u65b0\u7684\u95ee\u9898\u3002<\/span><\/span><\/p>\n


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\u90a3\u4e48\uff0c\u5927\u6a21\u578b\u662f\u600e\u4e48\u505a\u5230\u8fd9\u4e00\u70b9\u7684\uff1f\u5b83\u7684\u673a\u5236\u662f\u5426\u771f\u7684\u4e0e\u4eba\u8111\u7684\u8bb0\u5fc6\u8fc7\u7a0b\u76f8\u4f3c\uff1f<\/span><\/span><\/p>\n


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

\u4e4b\u524d\u7684\u4e00\u4e9b\u7814\u7a76\u5df2\u7ecf\u53d1\u73b0\uff0c\u5728 Transformer \u67b6\u6784\u4e2d\uff0c\u6709\u4e00\u79cd\u88ab\u79f0\u4e3a\u5f52\u7eb3\u6ce8\u610f\u529b\u5934<\/span>\uff08induction head\uff09<\/span>\u7684\u7ed3\u6784\uff0c\u5728\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e2d\u8d77\u5230\u4e86\u6838\u5fc3\u4f5c\u7528\u3002\u5b83\u4eec\u7684\u4f5c\u7528\u7c7b\u4f3c\u4e8e\u4e00\u79cd\u201c\u6a21\u5f0f\u68c0\u7d22\u4e0e\u62f7\u8d1d\u201d\u673a\u5236\uff1a\u5f53\u6a21\u578b\u5728\u8f93\u5165\u4e2d\u8bc6\u522b\u51fa\u91cd\u590d\u51fa\u73b0\u7684\u7ed3\u6784\u65f6\uff0c\u5f52\u7eb3\u6ce8\u610f\u529b\u5934\u4f1a\u5b66\u4f1a\u5bf9\u7b2c\u4e00\u6b21\u51fa\u73b0\u7684\u4f4d\u7f6e\u4ea7\u751f\u5f88\u5f3a\u7684\u6ce8\u610f\u529b\uff0c\u5e76\u6839\u636e\u8be5\u4f4d\u7f6e\u7684\u540e\u7f00\u90e8\u5206\u9884\u6d4b\u540e\u7eed\u7ed3\u679c\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u5982\u679c\u8f93\u5165\u5e8f\u5217\u662f\uff1a<\/span><\/span><\/p>\n


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

A P O Q Q E D A P O ?<\/span><\/span><\/p><\/code><\/pre>\n

<\/span><\/p>\n
\u867d\u7136\u8fd9\u4e9b\u5b57\u7b26\u672c\u8eab\u6ca1\u6709\u5177\u4f53\u542b\u4e49\uff0c\u4f46\u5f52\u7eb3\u5934\u80fd\u8bc6\u522b\u51fa\u5176\u4e2d\u7684\u91cd\u590d\u7ed3\u6784\u201cAPOQ\u201d\uff0c\u5e76\u5728\u7b2c\u4e8c\u6b21\u9047\u5230\u201cA P O\u201d\u65f6\uff0c\u81ea\u52a8\u9884\u6d4b\u4e0b\u4e00\u4e2a\u5e94\u4e3a\u201cQ\u201d\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5373\u4fbf\u5e8f\u5217\u672c\u8eab\u662f\u968f\u673a\u7684<\/span>\uff08\u6ca1\u6709\u51fa\u73b0\u5728\u8bad\u7ec3\u8bed\u6599\u4e2d\uff09<\/span>\uff0c\u53ea\u8981\u6709\u6a21\u5f0f\u53ef\u5faa\uff0c\u5f52\u7eb3\u5934\u5c31\u80fd\u5bf9\u5176\u8fdb\u884c\u6355\u6349\u548c\u590d\u5236\u3002\u8fd9\u4e00\u673a\u5236\u8868\u660e\uff1a\u5373\u4fbf\u5728\u65e0\u663e\u5f0f\u89c4\u5219\u7684\u6761\u4ef6\u4e0b\uff0c\u5f52\u7eb3\u5934\u4e5f\u80fd\u901a\u8fc7\u5c40\u90e8\u6a21\u5f0f\u5b66\u4e60\u5b9e\u73b0\u6cdb\u5316\uff0c\u4f53\u73b0\u51fa\u7c7b\u4f3c\u201c\u5728\u89c2\u5bdf\u4e2d\u5b66\u4e60\u201d\u7684\u80fd\u529b\u3002<\/span><\/span><\/p>\n

<\/span><\/p>\n
\u6211\u4eec\u8fdb\u4e00\u6b65\u63d0\u51fa\u4e00\u4e2a\u5047\u8bbe\uff1a\u8fd9\u79cd\u5f52\u7eb3\u5934\u7684\u884c\u4e3a\u673a\u5236\u662f\u5426\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u5728\u81ea\u7531\u56de\u5fc6\u4efb\u52a1\u4e2d\u7684\u8868\u73b0<\/span>\uff08\u56fe5<\/span><\/span>\uff09<\/span><\/span><\/strong>\u81ea\u7531\u56de\u5fc6\u6307\u7684\u662f\u4e2a\u4f53\u5728\u542c\u5b8c\u4e00\u7ec4\u5355\u8bcd\u540e\u5c3d\u53ef\u80fd\u591a\u5730\u56de\u5fc6\u8fd9\u4e9b\u5355\u8bcd\u7684\u5fc3\u7406\u4efb\u52a1\u3002<\/span><\/span>\u5fc3\u7406\u5b66\u4e2d\u4e00\u4e2a\u7ecf\u5178\u6a21\u578b\u662f\u4e0a\u4e0b\u6587\u7ef4\u62a4\u4e0e\u68c0\u7d22<\/span>\uff08Context Maintenance and Retrieval\uff0cCMR\uff09<\/span>\u6a21\u578b\uff0c\u5b83\u662f\u4e00\u79cd\u4eba\u7c7b\u7684\u8bb0\u5fc6\u65b9\u5f0f\uff0c\u8bb0\u5fc6\u7684\u63d0\u53d6\u4f9d\u8d56\u4e8e\u5f53\u524d\u60c5\u5883\u4e0e\u8fc7\u5f80\u8bb0\u5fc6\u4e4b\u95f4\u7684\u4e0a\u4e0b\u6587\u5339\u914d<\/span><\/span><\/span>\u3002CMR <\/span><\/span>\u8bb0\u5fc6<\/span><\/span><\/span>\u6a21\u578b\u80fd\u6709\u6548\u89e3\u91ca\u4e24\u7c7b\u73b0\u8c61\uff1a\u65b0\u8fd1\u6548\u5e94<\/span>\uff08\u66f4\u6613\u8bb0\u4f4f\u672b\u5c3e\u9879\u76ee\uff09<\/span>\u4e0e\u65f6\u5e8f\u6548\u5e94<\/span>\uff08\u56de\u5fc6\u987a\u5e8f\u503e\u5411\u4fdd\u7559\u539f\u6765\u8bb0\u5fc6\u523a\u6fc0\u65f6\u7684\u987a\u5e8f\uff09<\/span>\u3002<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/p>\n
<\/section>\n
\u56fe5 \u4eba\u7c7b\u5b9e\u9a8c\u3001 CMR \u6a21\u578b\u548c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6761\u4ef6\u56de\u5fc6\u6982\u7387\uff08CRP\uff09\u3002<\/span><\/span><\/strong><\/em><\/span>(\u5de6)  PEERS \u6570\u636e\u96c6\uff08N=171\uff09\u7684\u53c2\u4e0e\u8005\u6761\u4ef6\u56de\u5fc6\u6982\u7387\uff08CRP\uff09\u3002(\u4e2d) \u5c55\u793a\u4e86\u4e0d\u540c\u53c2\u6570\u7684 CMR \u6a21\u578b\uff0c\u6709\u4e9b\u53c2\u6570\u5bf9\u5e94\u4eba\u7c7b\u81ea\u7531\u56de\u5fc6\u7684\u884c\u4e3a\u3002(\u53f3) \u5c55\u793a\u4e86\u51e0\u4e2a\u5178\u578b\u201c\u5f52\u7eb3\u5934\u201d\u7684\u6ce8\u610f\u529b\u5206\u5e03\u53ca\u5176\u7531 CMR \u6a21\u578b\u62df\u5408\u7684\u6ce8\u610f\u529b\u5206\u5e03\u3002<\/span><\/span><\/em><\/span><\/span><\/p>\n

<\/span><\/em><\/span><\/span><\/p>\n
\u6211\u4eec\u53d1\u73b0\u4e86\u4ee4\u4eba\u60ca\u8bb6\u7684\u4e00\u4e2a\u73b0\u8c61\uff0cLLM\u7684\u90e8\u5206\u4e2d\u540e\u5c42\u6ce8\u610f\u529b\u5934\u5728\u884c\u4e3a\u4e0a\u9ad8\u5ea6\u7c7b\u4f3c\u4e8e CMR <\/span><\/span>\u4eba\u7c7b\u8bb0\u5fc6\u6a21\u578b<\/span><\/span><\/span>\uff08\u56fe5\uff09<\/span>\uff1a\u5b83\u4eec\u503e\u5411\u805a\u7126\u4e8e\u65f6\u95f4\u4e0a\u90bb\u8fd1\u7684\u8bcd\u5143<\/span>\uff08token\uff09<\/span>\u3002\u8fdb\u4e00\u6b65\u5206\u6790\u8868\u660e\uff0c\u8fd9\u4e9b\u6ce8\u610f\u529b\u673a\u5236\u7684\u52a8\u6001\u53ef\u4ee5\u88ab CMR \u7cbe\u786e\u5efa\u6a21\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u968f\u7740\u8bad\u7ec3\u7684\u8fdb\u884c\uff0c\u8fd9\u79cd\u201c\u7c7b\u4eba\u8bb0\u5fc6\u504f\u597d\u201d\u5728\u6a21\u578b\u4e2d\u81ea\u53d1\u589e\u5f3a\uff0c<\/span><\/span>\u4e0e\u4eba\u7c7b\u7684\u8bb0\u5fc6\u65b9\u5f0f\u8d8a\u6765\u8d8a\u50cf<\/span><\/span><\/span>\u3002<\/span><\/span>\u8fd9\u8868\u660e\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5728\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e2d\uff0c\u53ef\u80fd\u81ea\u53d1\u5f62\u6210\u4e86\u4e00\u79cd\u7c7b\u4f3c\u4eba\u7684\u8bb0\u5fc6\u5185\u90e8\u673a\u5236\uff0c\u4e3a\u6211\u4eec\u7406\u89e3\u5176\u667a\u80fd\u884c\u4e3a\u63d0\u4f9b\u4e86\u65b0\u7684\u8ba4\u77e5\u79d1\u5b66\u89c6\u89d2\u3002<\/span><\/span><\/strong><\/span><\/p>\n

<\/span><\/strong><\/span><\/p>\n
\u4e3a\u9a8c\u8bc1\u8fd9\u4e00 CMR \u673a\u5236\u7684\u529f\u80fd\u6027\uff0c\u6211\u4eec\u8bbe\u8ba1\u4e86\u6d88\u878d\u5b9e\u9a8c\uff0c\u7cfb\u7edf\u79fb\u9664\u4e0e CMR \u884c\u4e3a\u6700\u63a5\u8fd1\u7684\u6ce8\u610f\u529b\u5934\u3002\u7ed3\u679c\u663e\u793a\uff0c\u6a21\u578b\u5728\u591a\u4e2a\u4e0a\u4e0b\u6587\u5b66\u4e60\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u663e\u8457\u4e0b\u964d\u3002\u8fd9\u8bf4\u660e\uff0c\u8fd9\u4e9b\u7c7b\u4f3c\u4e8e\u4eba\u7684\u8bb0\u5fc6\u7ed3\u6784\u5e76\u4e0d\u662f\u5076\u7136\u4ea7\u7269\uff0c\u800c\u662f\u652f\u6491\u6a21\u578b\u6cdb\u5316\u4e0e\u5b66\u4e60\u80fd\u529b\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\u3002<\/span><\/span><\/p>\n

<\/span><\/p>\n
\u5728\u53e6\u4e00\u9879\u540e\u7eed\u7814\u7a76\u4e2d[5]\uff0c\u6211\u4eec\u501f\u9274\u4e86\u795e\u7ecf\u79d1\u5b66\u4e2d\u7814\u7a76\u795e\u7ecf\u53cd\u9988\u7684\u7ecf\u5178\u5b9e\u9a8c\u8303\u5f0f\uff0c\u7528\u4e8e\u63a2\u7d22LLM\u662f\u5426\u5177\u5907\u7c7b\u4f3c\u5143\u8ba4\u77e5\u7684\u5fc3\u7406\u529f\u80fd\u3002<\/span><\/span>\u7ed3\u679c\u8868\u660e\uff0c\u8bed\u8a00\u6a21\u578b\u786e\u5b9e\u5c55\u73b0\u51fa\u4e00\u5b9a\u7a0b\u5ea6\u7684\u57fa\u4e8e\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u5143\u8ba4\u77e5\u80fd\u529b\uff1a\u5b83\u4eec\u4e0d\u4ec5\u80fd\u591f\u76d1\u63a7\u81ea\u5df1\u5185\u90e8\u7684\u795e\u7ecf\u72b6\u6001\uff0c\u8fd8\u80fd\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5bf9\u5176\u8fdb\u884c\u8c03\u63a7\u3002<\/span><\/span><\/strong>\u6211\u4eec\u7684\u65b9\u6cd5\u53ef\u4ee5\u5bf9LLM\u7684\u5143\u8ba4\u77e5\u80fd\u529b\u53ca\u5176\u5f71\u54cd\u56e0\u7d20\u8fdb\u884c\u7cfb\u7edf\u6027\u91cf\u5316\uff0c\u4e3a\u4eca\u540e\u7684\u7814\u7a76\u63d0\u4f9b\u4e86\u4e00\u4e2a\u53ef\u63a8\u5e7f\u7684\u8bc4\u4f30\u6846\u67b6\u3002<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/p>\n
\u6211\u4eec\u6b63\u7ad9\u5728\u4e00\u4e2a\u65b0\u7684\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\u7814\u7a76\u8f6c\u6298\u70b9\u4e0a\uff1a\u795e\u7ecf\u7f51\u7edc\u4e0d\u4ec5\u4ec5\u662f\u6a21\u62df\u4eba\u7c7b\u884c\u4e3a\u7684\u9ed1\u7bb1\uff0c\u66f4\u53ef\u7528\u4f5c\u201c\u8ba4\u77e5\u663e\u5fae\u955c\u201d\u6765\u7406\u89e3\u4eba\u7c7b\u5fc3\u667a\u3002\u540c\u65f6\uff0c\u5fc3\u7406\u5b66\u4e0e\u795e\u7ecf\u79d1\u5b66\u7684\u7406\u8bba\u4e0e\u6280\u672f\u4e5f\u4e3a\u89e3\u91ca\u4e0e\u6539\u8fdb AI \u7cfb\u7edf\u63d0\u4f9b\u4e86\u5f3a\u6709\u529b\u7684\u542f\u53d1\u3002\u8fd9\u79cd\u4e92\u4e3a\u955c\u50cf\u3001\u76f8\u4e92\u4fc3\u8fdb\u7684\u667a\u80fd\u7406\u89e3\u4f53\u7cfb\uff0c\u6b63\u662f NeuroAI \u6240\u63cf\u7ed8\u7684\u613f\u666f\u3002\u5b83\u4e0d\u4ec5\u52a0\u6df1\u6211\u4eec\u5bf9\u667a\u80fd\u672c\u8d28\u7684\u7406\u89e3\uff0c\u4e5f\u6709\u671b\u63a8\u52a8\u4e0b\u4e00\u4ee3 AI \u7cfb\u7edf\u5411\u66f4\u52a0\u5f3a\u5927\u3001\u9ad8\u6548\u3001\u53ef\u89e3\u91ca\u7684\u65b9\u5411\u53d1\u5c55\u3002<\/span><\/span><\/p>\n

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

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\u53c2\u8003\u8d44\u6599<\/span><\/span><\/p>\n
[1] Li Ji-An, Marcus K. Benna, and Marcelo G. Mattar. “Discovering Cognitive Strategies with Tiny Recurrent Neural Networks.” Nature (2025).<\/span><\/span><\/p>\n
[2] Hua-Dong Xiong, Li Ji-An, Marcelo G. Mattar, and Robert C. Wilson. “Distilling human decision-making dynamics: a comparative analysis of low-dimensional architectures.” In NeurIPS 2023 AI for Science Workshop.<\/span><\/span><\/p>\n
[3] Marcel Binz, Elif Akata, Matthias Bethge, Franziska Br\u00e4ndle, Fred Callaway, Julian Coda-Forno, Peter Dayan et al. “Centaur: a foundation model of human cognition.” arXiv preprint arXiv:2410.20268 (2024).<\/span><\/span><\/p>\n
[4] Li Ji-An, Corey Zhou, Marcus Benna, and Marcelo G. Mattar. “Linking in-context learning in transformers to human episodic memory.” Advances in neural information processing systems 37 (2024): 6180-6212.<\/span><\/span><\/p>\n
[5] Li Ji-An, Hua-Dong Xiong, Robert C. Wilson, Marcelo G. Mattar, and Marcus K. Benna. “Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations.” arXiv preprint arXiv:2505.13763 (2025).<\/span><\/span><\/p>\n
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\u4f5c\u8005\uff1a<\/span><\/span>\u674e\u6d4e\u5b89\u3001\u718a\u534e\u4e1c<\/span><\/span><\/p>\n
\u5ba1\u6838\uff1a\u5f20\u6c5f <\/span><\/span>\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u6559\u6388<\/span><\/span><\/p>\n
\u51fa\u54c1\uff1a\u4e2d\u56fd\u79d1\u534f\u79d1\u666e\u90e8<\/span><\/span><\/p>\n
\u76d1\u5236\uff1a\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u51fa\u7248\u793e\u6709\u9650\u516c\u53f8\u3001\u5317\u4eac\u4e2d\u79d1\u661f\u6cb3\u6587\u5316\u4f20\u5a92\u6709\u9650\u516c\u53f8<\/span><\/span><\/p>\n<\/blockquote>\n
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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u526f\u6559\u6388\u5f20\u62f3\u77f3\u3001\u963f\u91cc\u4e91\u5927\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u56e2\u961f\u8d1f\u8d23\u4eba\u6c88\u65ed\u3001\u5f69\u4e91\u79d1\u6280\u9996\u5e2d\u79d1\u5b66\u5bb6\u8096\u8fbe\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7855\u58eb\u751f\u6768\u660e\u54f2\u548c\u6d59\u6c5f\u5927\u5b66\u535a\u58eb\u751f\u59da\u4e91\u5fd7\u5171\u540c\u53d1\u8d77\u300c\u5927\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u300d\u8bfb\u4e66\u4f1a<\/a>\u3002\u672c\u8bfb\u4e66\u4f1a\u65e8\u5728\u7a81\u7834\u5927\u6a21\u578b\u201c\u9ed1\u7bb1\u201d\u56f0\u5883\uff0c\u5c1d\u8bd5\u4ece\u4ee5\u4e0b\u56db\u4e2a\u89c6\u89d2\u68b3\u7406\u5927\u8bed\u8a00\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u7684\u79d1\u5b66\u65b9\u6cd5\u8bba\uff1a<\/span><\/p>\n
\u81ea\u4e0b\u800c\u4e0a\uff1aTransformer circuit \u4e3a\u4ec0\u4e48\u6709\u6548\uff1f<\/span><\/p>\n
\u81ea\u4e0a\u800c\u4e0b\uff1a\u795e\u7ecf\u7f51\u7edc\u7684\u7cbe\u7ec6\u51b3\u7b56\u903b\u8f91\u548c\u6027\u80fd\u6839\u56e0\u662f\u5426\u53ef\u4ee5\u88ab\u4e25\u8c28\u3001\u6e05\u6670\u5730\u89e3\u91ca\u6e05\u695a\uff1f<\/span><\/p>\n
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<\/strong>5. <\/span><\/strong>AI\u65f6\u4ee3\u7684\u5b66\u4e60\uff1a\u5171\u63a2\u4eba\u7c7b\u5b66\u4e60\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/section>\n
6. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/p>\n
7.<\/span><\/span><\/strong><\/strong><\/span> <\/span><\/span><\/strong><\/strong><\/span>\u7cfb\u7edf\u79d1\u5b66\u524d\u6cbf\u5341\u8bb2\uff1a\u7406\u89e3\u81ea\u7136\u3001\u751f\u547d\u4e0e\u793e\u4f1a\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/strong><\/span><\/p>\n

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\u5bfc\u8bed \u8fd1\u5e74\u6765\uff0c\u4eba\u5de5\u667a\u80fd\uff0c\u7279\u522b\u662f\u5927\u8bed\u8a00\u6a21\u578b\uff08Large Language Models, LLMs\uff09\uff0c\u5df2\u7ecf\u5728\u591a\u4e2a\u9886\u57df\u5c55\u73b0\u51fa\u4ee4\u4eba\u60ca\u8bb6\u7684\u80fd\u529b\u2014\u2014\u4e0d\u4ec5\u80fd\u50cf\u4eba\u4e00\u6837\u8fdb\u884c\u81ea\u7136\u5bf9\u8bdd\uff0c\u8fd8\u80fd\u5728\u7f16\u7a0b\u3001\u6e38\u620f\u3001\u5316\u5b66\u3001\u751f\u7269\u5b66\u7b49\u590d\u6742\u4efb\u52a1\u4e2d\u8fbe\u5230\u63a5\u8fd1\u751a\u81f3\u8d85\u8fc7\u4e13\u5bb6\u7684\u6c34\u5e73\u3002\u6bd4\u5982\uff0cAlphaFold\u56e0\u4e3a\u5bf9\u86cb\u767d\u8d28\u590d\u6742\u7ed3\u6784\u7684\u9884\u6d4b\uff0c\u83b7\u5f97\u4e86202…<\/p>\n","protected":false},"author":0,"featured_media":61813,"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\/61825"}],"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=61825"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/61825\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/61813"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=61825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=61825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=61825"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=61825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}