{"id":55123,"date":"2025-01-10T22:14:46","date_gmt":"2025-01-10T14:14:46","guid":{"rendered":"https:\/\/swarma.org\/?p=55123"},"modified":"2025-01-10T22:14:46","modified_gmt":"2025-01-10T14:14:46","slug":"%e4%ba%ba%e7%b1%bb%e6%99%ba%e8%83%bd%e5%a6%82%e4%bd%95%e4%bb%8e%e5%a4%a7%e8%84%91%e4%b8%ad%e6%b6%8c%e7%8e%b0%ef%bc%9f%e5%a4%a7%e8%84%91%e7%b2%be%e7%bb%86%e6%a8%a1%e6%8b%9f%e9%87%8d%e5%a1%91-neuroai","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=55123","title":{"rendered":"\u4eba\u7c7b\u667a\u80fd\u5982\u4f55\u4ece\u5927\u8111\u4e2d\u6d8c\u73b0\uff1f\u5927\u8111\u7cbe\u7ec6\u6a21\u62df\u91cd\u5851 NeuroAI \u8303\u5f0f"},"content":{"rendered":"
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\u667a\u80fd\u5982\u4f55\u4ece\u5927\u8111\u4e2d\u6d8c\u73b0\uff1f\u4eba\u7c7b\u5927\u8111\u5305\u542b\u8fd11000\u4ebf\u4e2a\u795e\u7ecf\u5143\uff0c\u6bcf\u79cd\u7c7b\u578b\u7684\u795e\u7ecf\u5143\u6709\u5176\u72ec\u7279\u800c\u4f18\u96c5\u7684\u7ed3\u6784\u3002\u4ece\u795e\u7ecf\u5143\u590d\u6742\u6027\u89d2\u5ea6\u51fa\u53d1\uff0c\u5927\u8111\u5efa\u6a21\u6709\u4e24\u6761\u8def\u5f84\uff1a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8def\u5f84\uff0c\u548c\u771f\u5b9e\u795e\u7ecf\u5143\u6a21\u62df\u8def\u5f84\u3002\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8def\u5f84\u5c06\u795e\u7ecf\u5143\u7b80\u5316\u4e3a\u4e00\u4e2a\u70b9\uff0c\u7528\u7b80\u5355\u7684\u6570\u5b66\u6a21\u578b\u6a21\u62df\u795e\u7ecf\u5143\u7684\u8f93\u5165\u8f93\u51fa\u884c\u4e3a\uff0c\u7136\u540e\u901a\u8fc7\u5927\u91cf\u7684\u8fde\u63a5\u5f62\u6210\u795e\u7ecf\u7f51\u7edc\u3002\u771f\u5b9e\u795e\u7ecf\u5143\u6a21\u62df\u8def\u5f84\u5219\u662f\u5c06\u5927\u8111\u4e2d\u7684\u795e\u7ecf\u5143\u7cbe\u7ec6\u5730\u6a21\u62df\uff0c\u4fdd\u7559\u6bcf\u4e00\u4e2a\u795e\u7ecf\u5143\u7684\u7269\u7406\u548c\u751f\u7269\u7279\u6027\uff0c\u529b\u56fe\u518d\u73b0\u751f\u7269\u795e\u7ecf\u5143\u7684\u771f\u5b9e\u884c\u4e3a\u3002\u8fd9\u79cd Bottom-up \u7684\u65b9\u5f0f\u901a\u8fc7\u7cbe\u7ec6\u5730\u6a21\u62df\u795e\u7ecf\u5143\u548c\u5b83\u4eec\u4e4b\u95f4\u7684\u590d\u6742\u4ea4\u4e92\uff0c\u6d8c\u73b0\u51fa\u667a\u80fd\u3002\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u300c\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66<\/a>\u300d\u8bfb\u4e66\u4f1a\uff0c\u5317\u4eac\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u52a9\u7406\u7814\u7a76\u5458\u675c\u51ef\u8001\u5e08\u8ba4\u4e3a\uff0c\u901a\u8fc7\u7cbe\u7ec6\u5927\u8111\u6a21\u578b\uff0c\u6709\u53ef\u80fd\u5b9e\u73b0\u57fa\u4e8e\u4eba\u8111\u7684\u901a\u7528\u667a\u80fd\u3002<\/span><\/strong><\/span><\/strong><\/p>\n


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\u5173\u952e\u8bcd\uff1a\u5927\u8111\u7cbe\u7ec6\u6a21\u62df\uff0c\u6811\u7a81\u8ba1\u7b97\uff0c\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\uff0c\u4eba\u5de5\u667a\u80fd<\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/section>\n<\/section>\n
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\u675c\u51ef<\/span> <\/span>| \u4f5c\u8005<\/span><\/p>\n

Yin Ava<\/span> <\/span>| \u6574\u7406<\/span><\/span><\/p>\n


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1. \u80cc\u666f<\/span><\/strong><\/section>\n

1.1 GPT\u7684\u542f\u53d1<\/span><\/p>\n

1.2 \u8fdb\u5316\u4e2d\u7684\u542f\u793a<\/span><\/p>\n

1.3 \u5927\u8111\u5efa\u6a21\u7684\u4e24\u6761\u8def\u5f84<\/span><\/p>\n

2. \u7cbe\u7ec6\u6a21\u578b\u7684\u7406\u8bba\u57fa\u7840<\/strong><\/span><\/section>\n

2.1 \u5927\u8111\u7cbe\u7ec6\u6a21\u578b\u672c\u8d28\u4e0a\u662f\u57fa\u4e8e\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u6570\u5b66\u7cfb\u7edf<\/span><\/p>\n

2.2 \u5355\u4e2a\u795e\u7ecf\u5143\u7531\u4e8e\u4e30\u5bcc\u7684\u79bb\u5b50\u901a\u9053\u548c\u6811\u7a81\u7ed3\u6784\u80fd\u591f\u6267\u884c\u590d\u6742\u7684\u8ba1\u7b97<\/span><\/p>\n

2.3 \u5927\u8111\u7cbe\u7ec6\u6a21\u578b\u80fd\u72ec\u7acb\u751f\u6210\u65b0\u7406\u8bba\uff0c\u662f\u4e0e\u5b9e\u9a8c\u79d1\u5b66\u5e73\u884c\u7684\u7406\u8bba\u4f53\u7cfb<\/span><\/p>\n

3. \u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5173\u7cfb\u548c\u542f\u793a<\/span><\/strong><\/section>\n

3.1 \u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5173\u7cfb<\/span><\/p>\n

3.2 \u5355\u4e2a\u795e\u7ecf\u5143\u6709\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b<\/span><\/p>\n

4. \u5927\u89c4\u6a21\u7cbe\u7ec6\u6a21\u62df\u7684\u6838\u5fc3\u6311\u6218\u4e0e\u89e3\u51b3\u529e\u6cd5<\/span><\/strong><\/section>\n

4.1 \u5927\u8111\u7cbe\u7ec6\u6a21\u62df\u7684\u6838\u5fc3\u6311\u6218<\/span><\/p>\n

4.2 \u8ba1\u7b97\u6548\u7387\u63d0\u5347-\u4f20\u7edf\u65b9\u6cd5<\/span><\/p>\n

4.3 \u8ba1\u7b97\u6548\u7387\u63d0\u5347-\u5e76\u884c\u5316\u65b9\u6cd5<\/span><\/p>\n

5. \u7cbe\u7ec6\u6a21\u578b\u7684\u5e94\u7528<\/span><\/strong><\/section>\n
6. \u5c55\u671b\uff1a\u5982\u4f55\u6784\u5efa\u4eba\u7c7b\u667a\u80fd\uff1f<\/span><\/strong><\/section>\n
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1. \u80cc\u666f<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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


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1.1 GPT\u7684\u542f\u53d1<\/strong><\/span><\/p>\n


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

\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u6784\u5efa\u80fd\u6a21\u62df\u751a\u81f3\u8d85\u8d8a\u4eba\u7c7b\u667a\u80fd\u7684\u7cfb\u7edf\u4e00\u76f4\u662f\u79d1\u6280\u53d1\u5c55\u7684\u7ec8\u6781\u76ee\u6807\u3002\u968f\u7740\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u6211\u4eec\u5df2\u7ecf\u5f00\u59cb\u5c1d\u8bd5\u63a2\u7d22\u610f\u8bc6\u7684\u751f\u547d\u57fa\u7840\u2014\u2014\u8fd9\u4e0d\u4ec5\u662f\u79d1\u6280\u7684\u6311\u6218\uff0c\u66f4\u662f\u5bf9\u4eba\u7c7b\u6587\u660e\u7684\u4e00\u6b21\u6df1\u523b\u6d1e\u5bdf\u3002<\/span><\/p>\n


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\u6700\u65b0\u7684\u8fdb\u5c55\u4e2d\uff0c\u7279\u522b\u662f\u5728\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5982GPT-3\u7684\u5f00\u53d1\u4e0a\uff0c\u6211\u4eec\u770b\u5230\u4e86\u4eba\u5de5\u667a\u80fd\u5982\u4f55\u63a5\u8fd1\u8fd9\u4e00\u6311\u6218\u3002GPT-3\u6a21\u578b\u62e5\u6709\u8d85\u8fc71750\u4ebf\u4e2a\u53c2\u6570\uff0c\u5e76\u4e14\u5728\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u9884\u8bad\u7ec3\uff0c\u5728\u591a\u79cd\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e0a\u5c55\u793a\u4e86\u7c7b\u4f3c\u4eba\u7c7b\u7684\u667a\u80fd\u6c34\u5e73\u3002\u8fd9\u4e9b\u6210\u679c\u63ed\u793a\u4e86\u4e00\u4e2a\u5173\u952e\u7684\u79d1\u5b66\u542f\u53d1\uff1a\u201cmore is different\u201d\u3002\u5f53\u7cfb\u7edf\u7684\u89c4\u6a21\u8fbe\u5230\u4e00\u5b9a\u7a0b\u5ea6\u65f6\uff0c\u5b83\u7684\u884c\u4e3a\u4e0d\u4ec5\u4ec5\u662f\u7ec4\u4ef6\u884c\u4e3a\u7684\u7b80\u5355\u53e0\u52a0\uff0c\u800c\u662f\u80fd\u591f\u81ea\u53d1\u5730\u6d8c\u73b0\u5168\u65b0\u7684\u6027\u8d28\uff0c\u8868\u73b0\u51fa\u8d28\u7684\u4e0d\u540c\u3002<\/span><\/p>\n


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\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u6d8c\u73b0\u80fd\u529b\u3002\uff5c\u6765\u6e90\uff1a<\/span>Emergent Abilities of Large Language Models [2022]   Jason WeiYi TayWilliam Fedus et al.<\/span><\/section>\n


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\u751f\u6210\u5f0fAI\u7684\u53e6\u4e00\u4e2a\u5173\u952e\u542f\u53d1\u662f\u89c4\u6a21\u6cd5\u5219\u3002\u89c4\u6a21\u6cd5\u5219\u63cf\u8ff0\u4e86\u6a21\u578b\u6027\u80fd<\/span>\uff08\u5982\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\uff09<\/span>\u968f\u7740\u6a21\u578b\u5927\u5c0f<\/span>\uff08\u5373\u53c2\u6570\u6570\u91cf\uff09<\/span>\u7684\u589e\u52a0\u800c\u63d0\u9ad8\uff0c\u6027\u80fd\u53ef\u4ee5\u901a\u8fc7\u8fd9\u4e00\u5173\u7cfb\u8fdb\u884c\u9884\u6d4b\u3002\u8fd9\u662f\u56e0\u4e3a\u66f4\u5927\u7684\u6a21\u578b\u53ef\u4ee5\u4ece\u66f4\u591a\u7684\u6570\u636e\u4e2d\u5b66\u4e60\u66f4\u590d\u6742\u7684\u6a21\u5f0f\uff0c\u4ece\u800c\u5728\u5404\u79cd\u4efb\u52a1\u4e0a\u8868\u73b0\u66f4\u597d\u3002<\/span><\/span><\/p>\n


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\u751f\u6210\u5f0fAI\u7684\u89c4\u6a21\u6cd5\u5219<\/span><\/p>\n


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\u5728\u4eba\u8111\u548c\u610f\u8bc6\u7684\u5c42\u9762\uff0c\u89c4\u6a21\u6cd5\u5219\u662f\u5426\u5728\u4eba\u8111\u4e2d\u8d77\u4f5c\u7528\uff1f\u667a\u80fd\u662f\u5426\u662f\u6d8c\u73b0\u7684\uff1f\u80fd\u5426\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\u6a21\u62df\u4eba\u7c7b\u7684\u610f\u8bc6\uff1f\u8fd9\u4e9b\u95ee\u9898\u9700\u8981\u8fdb\u4e00\u6b65\u601d\u8003\u548c\u9a8c\u8bc1\u3002<\/span><\/p>\n


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1.2 \u8fdb\u5316\u4e2d\u7684\u542f\u793a<\/strong><\/span><\/p>\n


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\u4ece\u8fdb\u5316\u7684\u89d2\u5ea6\u6765\u770b\uff0c<\/span>\u968f\u7740\u751f\u7269\u4f53\u7684\u8fdb\u5316\uff0c<\/span>\u795e\u7ecf\u7cfb\u7edf\u7684\u89c4\u6a21\u548c\u590d\u6742\u6027<\/strong>\u9010\u6b65\u589e\u52a0\uff0c\u4e0d\u4ec5\u4f53\u73b0\u5728\u6574\u4e2a\u795e\u7ecf\u7f51\u7edc\u7684\u89c4\u6a21\u6269\u5c55\u4e0a\uff0c\u4e5f\u4f53\u73b0\u5728\u5355\u4e2a\u795e\u7ecf\u5143\u7684\u7ed3\u6784\u548c\u529f\u80fd\u590d\u6742\u6027\u7684\u6f14\u53d8\u4e0a<\/span><\/strong>\u3002<\/span>\u5bf9\u4e8e\u7406\u89e3\u4eba\u7c7b\u610f\u8bc6\u7684\u4ea7\u751f\u4ee5\u53ca\u5982\u4f55\u5728\u4eba\u5de5\u667a\u80fd\u4e2d\u6a21\u62df\u7c7b\u4f3c\u7684\u667a\u80fd\uff0c\u8fd9\u4e9b\u8fdb\u5316\u7684\u542f\u793a\u5177\u6709\u91cd\u8981\u7684\u53c2\u8003\u4ef7\u503c\u3002<\/span>\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u548c\u5355\u4e2a\u795e\u7ecf\u5143\u7684\u590d\u6742\u8ba1\u7b97\u80fd\u529b\u53ef\u80fd\u662f\u9ad8\u7ea7\u667a\u80fd\u548c\u610f\u8bc6\u5f62\u6210\u7684\u91cd\u8981\u57fa\u7840\u3002<\/span><\/p>\n


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

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

\u4ece\u8fdb\u5316\u4e2d\u5f97\u5230\u7684\u542f\u793a\uff1a\u7f51\u683c\u89c4\u6a21\u53d8\u5316<\/span><\/p>\n


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

\u4ece\u8fdb\u5316\u4e2d\u5f97\u5230\u7684\u542f\u793a\uff1a\u5355\u4e2a\u795e\u7ecf\u5143\u590d\u6742\u5ea6\u7684\u53d8\u5316<\/span><\/p>\n


<\/p>\n

1.3 \u5927\u8111\u5efa\u6a21\u7684\u4e24\u6761\u8def\u5f84<\/strong><\/span><\/span><\/p>\n


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

\u4ece\u795e\u7ecf\u5143\u7684\u590d\u6742\u6027\u89d2\u5ea6\u51fa\u53d1\uff0c\u5927\u8111\u5efa\u6a21\u6709\u4e24\u6761\u4e0d\u540c\u7684\u8def\u5f84\uff1a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8def\u5f84\u548c\u771f\u5b9e\u795e\u7ecf\u5143\u6a21\u62df\u8def\u5f84\u3002<\/span><\/p>\n


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    \n
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    \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8def\u5f84<\/span><\/strong><\/span><\/span><\/p>\n<\/li>\n<\/ul>\n


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

    \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u8def\u5f84\u7684\u6838\u5fc3\u7406\u5ff5\u662f\u5c06\u795e\u7ecf\u5143\u7b80\u5316\u4e3a\u4e00\u4e2a\u70b9\uff0c\u7528\u7b80\u5355\u7684\u6570\u5b66\u6a21\u578b\u6765\u6a21\u62df\u795e\u7ecf\u5143\u7684\u8f93\u5165\u8f93\u51fa\u884c\u4e3a<\/strong>\uff0c\u7136\u540e\u901a\u8fc7\u5927\u91cf\u7684\u8fde\u63a5\u5f62\u6210\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc<\/strong>\u3002\u8fd9\u79cd\u65b9\u6cd5\u62bd\u8c61\u4e86\u795e\u7ecf\u5143\u7684\u590d\u6742\u7ed3\u6784\uff0c\u53ea\u4fdd\u7559\u5176\u6838\u5fc3\u7684\u8ba1\u7b97\u529f\u80fd\u3002\u65e9\u671f\u7684\u9ea6\u5361\u6d1b\u514b-\u76ae\u8328\u795e\u7ecf\u5143\u3001\u611f\u77e5\u5668\u3001\u4ee5\u53ca\u73b0\u4ee3\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc<\/span>\uff08\u5982LSTM\u3001Transformer\u7b49\uff09<\/span>\u90fd\u5c5e\u4e8e\u8fd9\u4e00\u8def\u5f84\u3002<\/span><\/p>\n


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      \u771f\u5b9e\u795e\u7ecf\u5143\u6a21\u62df\u8def\u5f84<\/span><\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n


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

      \u771f\u5b9e\u795e\u7ecf\u5143\u6a21\u62df\u8def\u5f84\u662f\u91c7\u53d6\u4e00\u79cd\u8fd8\u539f\u8bba\u7684\u65b9\u6cd5\uff0c\u5c06\u5927\u8111\u4e2d\u7684\u795e\u7ecf\u5143\u7cbe\u7ec6\u5730\u6a21\u62df<\/strong>\uff0c\u4fdd\u7559\u6bcf\u4e00\u4e2a\u795e\u7ecf\u5143\u7684\u7269\u7406\u548c\u751f\u7269\u7279\u6027\uff0c\u529b\u56fe\u518d\u73b0\u751f\u7269\u795e\u7ecf\u5143\u7684\u771f\u5b9e\u884c\u4e3a\u3002\u4f8b\u5982\uff0cH-H\u6a21\u578b<\/span>\uff08Hodgkin-Huxley Model\uff09<\/span>\u548c\u6d66\u80af\u91ce\u7ec6\u80de\u7684\u591a\u4ed3\u5ba4\u6a21\u578b<\/span>\uff08Multi-Compartmental Model of a Purkinje Cell\uff09<\/span>\u90fd\u662f\u8bd5\u56fe\u4ece\u751f\u7269\u5b66\u89d2\u5ea6\u7cbe\u786e\u6a21\u62df\u795e\u7ecf\u5143\u5185\u90e8\u7684\u7535\u4fe1\u53f7\u751f\u6210\u548c\u4f20\u9012\u7684\u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u578b\u8be6\u7ec6\u63cf\u8ff0\u4e86\u795e\u7ecf\u5143\u5404\u90e8\u5206<\/span>\uff08\u5982\u6811\u7a81\u3001\u8f74\u7a81\u3001\u80de\u4f53\uff09<\/span>\u7684\u7535\u7279\u6027\u548c\u5316\u5b66\u884c\u4e3a\u3002\u7cbe\u7ec6\u7684\u751f\u7269\u7269\u7406\u795e\u7ecf\u5143\u6a21\u578b\u4e0d\u4ec5\u4ec5\u662f\u5bf9\u795e\u7ecf\u5143\u7684\u751f\u7269\u5b66\u518d\u73b0\uff0c\u5b83\u4eec\u5b9e\u9645\u4e0a\u53ef\u4ee5\u76f4\u63a5\u4f5c\u4e3a\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u7cfb\u7edf<\/strong>\u3002\u8fd9\u4e9b\u6a21\u578b\u4e2d\u8574\u542b\u7684\u590d\u6742\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u548c\u4fe1\u53f7\u5904\u7406\u80fd\u529b\uff0c\u4f7f\u5176\u80fd\u591f\u6267\u884c\u590d\u6742\u7684\u8ba1\u7b97\u4efb\u52a1\u3002<\/span><\/p>\n


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

      <\/p>\n

      \u5927\u8111\u5efa\u6a21\u7684\u4e24\u6761\u8def\u5f84\uff5cAn active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses.   E. Schutter, J. Bower<\/span><\/section>\n


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


      <\/p>\n

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      <\/section>\n

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

      2. \u7cbe\u7ec6\u6a21\u578b\u7684\u7406\u8bba\u57fa\u7840<\/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

      2.1 \u5927\u8111\u7cbe\u7ec6\u6a21\u578b\u672c\u8d28\u4e0a\u662f\u57fa\u4e8e\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u6570\u5b66\u7cfb\u7edf<\/strong><\/span><\/p>\n


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

      <\/p>\n

      H-H\u6a21\u578b<\/span><\/p>\n<\/td>\n

      		\n

      <\/p>\n

      \u7535\u7f06\u7406\u8bba\uff08Cable theory)<\/span><\/p>\n<\/td>\n

      		\n

      <\/p>\n

      \u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      A quantitative description of membrane current and its application to conduction and excitation in nerves [1952]   A. L.<\/span><\/p>\n

      Branching dendritic trees and motoneuron membrane resistivity. [1959]   W. Rall<\/span><\/p>\n


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

      H-H \u6a21\u578b<\/strong>\u7531\u970d\u5947\u91d1\u548c\u8d6b\u80e5\u9ece\u57281952\u5e74\u63d0\u51fa\uff0c\u4e3b\u8981\u7528\u4e8e\u63cf\u8ff0\u795e\u7ecf\u5143\u7684\u7535\u4fe1\u53f7\u751f\u6210\u3002\u8fd9\u4e2a\u6a21\u578b\u901a\u8fc7\u4e00\u7ec4\u5fae\u5206\u65b9\u7a0b\u8ba1\u7b97\u819c\u7535\u4f4d\u7684\u53d8\u5316\uff0c\u89e3\u91ca\u4e86\u795e\u7ecf\u5143\u4e2d\u7684\u79bb\u5b50\u901a\u9053<\/span>\uff08\u5982\u94a0\u901a\u9053\u548c\u94be\u901a\u9053\uff09<\/span>\u5982\u4f55\u901a\u8fc7\u63a7\u5236\u7535\u6d41\u6d41\u52a8\u6765\u4ea7\u751f\u52a8\u4f5c\u7535\u4f4d\u3002\u7535\u7f06\u7406\u8bba<\/strong><\/span>\uff08cable theory\uff09<\/span>\u7531 Rall \u57281959\u5e74\u63d0\u51fa\uff0c\u57fa\u4e8e\u504f\u5fae\u5206\u65b9\u7a0b\u63cf\u8ff0\u4e86\u7535\u538b\u5728\u7535\u963b\u548c\u7535\u5bb9\u4f5c\u7528\u4e0b\u7684\u65f6\u7a7a\u53d8\u5316\u7279\u6027\uff0c\u4e3b\u8981\u7528\u4e8e\u63cf\u8ff0\u795e\u7ecf\u4fe1\u53f7\u6cbf\u6811\u7a81\u548c\u8f74\u7a81\u7684\u4f20\u64ad\u3002\u795e\u7ecf\u5143\u7684\u6811\u7a81\u548c\u8f74\u7a81\u53ef\u4ee5\u88ab\u89c6\u4e3a\u4e00\u6761\u7535\u7f06\uff0c\u7535\u6d41\u5728\u5176\u5185\u90e8\u4f20\u64ad\u65f6\u4f1a\u56e0\u7535\u963b\u548c\u7535\u5bb9\u7684\u4f5c\u7528\u800c\u9010\u6e10\u8870\u51cf\u3002\u7535\u7f06\u7406\u8bba\u662f\u751f\u7269\u5b66\u9886\u57df\u5c11\u6570\u7406\u8bba\u5148\u4e8e\u5b9e\u9a8c\u9a8c\u8bc1\u7684\u9886\u57df\u4e4b\u4e00\uff0c\u901a\u8fc7\u7406\u8bba\u63a8\u5bfc\u53ef\u4ee5\u5f97\u51fa\u6709\u5173\u795e\u7ecf\u5143\u7535\u6d3b\u52a8\u7684\u65f6\u95f4\u548c\u7a7a\u95f4\u57fa\u672c\u6027\u8d28\uff0c\u8fd9\u4e9b\u7406\u8bba\u9884\u6d4b\u901a\u8fc7\u540e\u7eed\u7684\u5b9e\u9a8c\u5f97\u5230\u4e86\u9a8c\u8bc1\uff1b\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u7ed3\u5408\u4e86H-H\u6a21\u578b\u548c\u7535\u7f06\u7406\u8bba\uff0c\u5229\u7528\u504f\u5fae\u5206\u65b9\u7a0b\u7cbe\u786e\u63cf\u8ff0\u795e\u7ecf\u5143\u5185\u90e8\u590d\u6742\u7684\u7535\u4fe1\u53f7\u4ea7\u751f\u4e0e\u4f20\u64ad\u8fc7\u7a0b<\/strong>\uff0c\u8fdb\u4e00\u6b65\u53d1\u5c55\u4e3a\u4e00\u79cd\u5305\u542b\u590d\u6742\u6811\u7a81\u548c\u79bb\u5b50\u901a\u9053\u7684\u7cbe\u7ec6\u6a21\u578b\u3002<\/strong><\/span><\/p>\n


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

      \u8fd9\u4e9b\u6a21\u578b\u5171\u4ece\u5fae\u89c2\u7684\u79bb\u5b50\u901a\u9053\u6d3b\u52a8\u5230\u5b8f\u89c2\u7684\u7535\u4fe1\u53f7\u5728\u795e\u7ecf\u5143\u7ed3\u6784\u4e2d\u7684\u4f20\u64ad\uff0c\u518d\u5230\u6574\u4f53\u7684\u7cbe\u7ec6\u6a21\u62df\uff0c\u4e3a\u7406\u89e3\u795e\u7ecf\u5143\u7684\u7535\u6d3b\u52a8\u63d0\u4f9b\u4e86\u4e0d\u540c\u7684\u5c42\u6b21\u89d2\u5ea6\u3002\u8fd9\u4e9b\u7406\u8bba\u5de5\u5177\u5bf9\u6df1\u5165\u7406\u89e3\u795e\u7ecf\u8ba1\u7b97\u673a\u5236\u548c\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u7684\u590d\u6742\u6027\u5177\u6709\u91cd\u8981\u610f\u4e49\uff0c\u4e5f\u4e3a\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u8bbe\u8ba1\u548c\u4f18\u5316\u63d0\u4f9b\u4e86\u5b9d\u8d35\u7684\u7075\u611f\u3002<\/span><\/p>\n


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

      2.2 \u5355\u4e2a\u795e\u7ecf\u5143\u7531\u4e8e\u4e30\u5bcc\u7684\u79bb\u5b50\u901a\u9053\u548c\u6811\u7a81\u7ed3\u6784\u80fd\u591f\u6267\u884c\u590d\u6742\u7684\u8ba1\u7b97<\/strong><\/span><\/p>\n


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

      <\/p>\n

      \u6811\u7a81\u8ba1\u7b97\u7406\u8bba<\/span><\/p>\n


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

      \u795e\u7ecf\u5143\u7684\u6811\u7a81\u5728\u4fe1\u606f\u5904\u7406\u4e2d\u5177\u6709\u91cd\u8981\u4f5c\u7528\u3002\u6811\u7a81\u4e0d\u4ec5\u4ec5\u662f\u88ab\u52a8\u63a5\u6536\u4fe1\u53f7\u7684\u7ed3\u6784\uff0c\u5b83\u4eec\u5177\u6709\u975e\u5e38\u590d\u6742\u7684\u8ba1\u7b97\u529f\u80fd\uff0c\u53ef\u4ee5\u901a\u8fc7\u7279\u5b9a\u7684\u751f\u7269\u7269\u7406\u673a\u5236\u5bf9\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u5904\u7406<\/strong>\uff0c\u5b9e\u73b0\u591a\u79cd\u903b\u8f91\u548c\u975e\u7ebf\u6027\u64cd\u4f5c\uff1a<\/span><\/p>\n


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

        \n
      • \n
        \u88ab\u52a8\u6ee4\u6ce2\uff08Passive Filtering\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

        \u6811\u7a81\u7684\u88ab\u52a8\u7279\u6027\u4f7f\u5f97\u5927\u90e8\u5206\u4fe1\u53f7\u4f1a\u5728\u6811\u7a81\u4e0a\u4f20\u64ad\u65f6\u88ab\u6ee4\u9664\u3002\u8fd9\u610f\u5473\u7740\u6811\u7a81\u80fd\u591f\u9009\u62e9\u6027\u5730\u8870\u51cf\u8fdc\u7aef\u7684\u4fe1\u53f7\uff0c\u4f7f\u5f97\u53ea\u6709\u7279\u5b9a\u5f3a\u5ea6\u7684\u4fe1\u53f7\u80fd\u591f\u88ab\u6709\u6548\u7684\u4ece\u6811\u7a81\u8fdc\u7aef\u4f20\u9012\u5230\u80de\u4f53\u3002\u8fd9\u5bf9\u4e8e\u566a\u58f0\u8fc7\u6ee4\u548c\u4fe1\u53f7\u9009\u62e9\u6709\u91cd\u8981\u610f\u4e49\u3002<\/span><\/p>\n


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

          \n
        • \n
          \u903b\u8f91\u8fd0\u7b97\uff08Logical Operations\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

          \u5174\u594b\u6027\u548c\u6291\u5236\u6027\u8f93\u5165\u4e4b\u95f4\u7684\u4ea4\u4e92\u4f5c\u7528\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u903b\u8f91\u64cd\u4f5c\u3002\u6811\u7a81\u901a\u8fc7\u4e0d\u540c\u7684\u8f93\u5165\u4fe1\u53f7\u7ec4\u5408\u548c\u6574\u5408\uff0c\u80fd\u591f\u6267\u884c\u7c7b\u4f3c\u903b\u8f91\u95e8\u7684\u529f\u80fd\uff0c\u4ece\u800c\u5bf9\u8f93\u5165\u4fe1\u53f7\u505a\u51fa\u66f4\u590d\u6742\u7684\u5904\u7406\u3002\u8fd9\u4f7f\u5f97\u795e\u7ecf\u5143\u53ef\u4ee5\u901a\u8fc7\u6811\u7a81\u8fdb\u884c\u7279\u5b9a\u4fe1\u606f\u7684\u8ba1\u7b97\u548c\u9009\u62e9\uff0c\u8d4b\u4e88\u795e\u7ecf\u5143\u66f4\u5f3a\u7684\u9009\u62e9\u6027\u548c\u5904\u7406\u80fd\u529b\u3002<\/span><\/p>\n


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

            \n
          • \n
            \u91cd\u5408\u68c0\u6d4b\uff08Coincidence Detection\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

            \u6811\u7a81\u53ef\u4ee5\u68c0\u6d4b\u9876\u6811\u7a81\u548c\u57fa\u6811\u7a81\u4e4b\u95f4\u7684\u4fe1\u53f7\u540c\u6b65\u6027\uff0c\u5373\u91cd\u5408<\/strong>\u68c0\u6d4b<\/strong><\/span>\uff08Coincidence Detection\uff09<\/span>\u3002\u8fd9\u79cd\u673a\u5236\u662f\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u7684\u52a8\u4f5c\u7535\u4f4d<\/span>\uff08backpropagating action potential\uff09<\/span>\u6765\u5b9e\u73b0\u7684\u3002\u5f53\u9876\u6811\u7a81\u540c\u65f6\u53d7\u5230\u523a\u6fc0\u65f6\uff0c\u53cd\u5411\u4f20\u64ad\u7684\u52a8\u4f5c\u7535\u4f4d\u4f1a\u4f7f\u8fd9\u4e9b\u4fe1\u53f7\u7684\u5f3a\u5ea6\u589e\u52a0\uff0c\u4ece\u800c\u589e\u5f3a\u795e\u7ecf\u5143\u5bf9\u591a\u4e2a\u8f93\u5165\u540c\u6b65\u51fa\u73b0\u7684\u654f\u611f\u6027\u3002\u8fd9\u79cd\u91cd\u5408\u68c0\u6d4b\u5bf9\u65f6\u95f4\u540c\u6b65\u4fe1\u606f\u7684\u5904\u7406\u5c24\u4e3a\u91cd\u8981\uff0c\u5728\u611f\u77e5\u548c\u8bb0\u5fc6\u8fc7\u7a0b\u4e2d\u53d1\u6325\u5173\u952e\u4f5c\u7528\u3002<\/span><\/p>\n


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

              \n
            • \n
              \u4fe1\u53f7\u653e\u5927\uff08Amplification\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

              \u6811\u7a81\u8fd8\u53ef\u4ee5\u975e\u7ebf\u6027\u5730\u653e\u5927\u5c40\u90e8\u7684\u5174\u594b\u6027\u8f93\u5165\u4fe1\u53f7\uff0c\u4ece\u800c\u5bf9\u7279\u5b9a\u7684\u8f93\u5165\u505a\u51fa\u653e\u5927\u54cd\u5e94\u3002\u8fd9\u79cd\u975e\u7ebf\u6027\u653e\u5927\u4f7f\u5f97\u6570\u91cf\u8f83\u5c11\u7684\u5174\u594b\u6027\u7a81\u89e6\u4fe1\u53f7\u4e5f\u80fd\u591f\u5bf9\u795e\u7ecf\u5143\u7684\u6574\u4f53\u53cd\u5e94\u4ea7\u751f\u663e\u8457\u5f71\u54cd\u3002<\/span><\/p>\n


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

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

              \u6811\u7a81\u4fe1\u606f\u5904\u7406\u7684\u5206\u7c7b\uff5cclasses of dendritic information processing. Alexandre PayeurJean-Claude B\u00e9\u00efque et al.<\/span><\/span><\/section>\n


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

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

              \u975e\u7ebf\u6027\u6811\u7a81\u6574\u5408 vs \u7ebf\u6027\u80de\u4f53\u6574\u5408<\/span>\uff5cclasses of dendritic information processing   Alexandre PayeurJean-Claude B\u00e9\u00efque et al.<\/span><\/section>\n


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

              \u6811\u7a81\u5177\u6709\u4e30\u5bcc\u7684\u4fe1\u53f7\u5904\u7406\u80fd\u529b\uff0c\u4f7f\u5f97\u795e\u7ecf\u5143\u53ef\u4ee5\u5bf9\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u590d\u6742\u7684\u5c40\u90e8\u5904\u7406\u3002\u57fa\u4e8e\u6811\u7a81\u5904\u7406\u4e0d\u540c\u8f93\u5165\u4fe1\u53f7\u7684\u65b9\u5f0f\u5bf9\u6811\u7a81\u7684\u4fe1\u606f\u5904\u7406\u80fd\u529b\u8fdb\u884c\u5206\u7c7b<\/strong>\uff0c\u53ef\u4ee5\u5206\u4e3a4\u7c7b\uff1a<\/span><\/p>\n


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

                \n
              • \n
                \u65f6\u7a7a\u6ee4\u6ce2\uff08 Spatiotemporal Filtering\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

                \u6811\u7a81\u80fd\u591f\u5bf9\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u65f6\u7a7a\u4e0a\u7684\u6ee4\u6ce2\uff0c\u4f7f\u4fe1\u53f7\u5728\u4f20\u8f93\u8fc7\u7a0b\u4e2d\u6839\u636e\u5176\u65f6\u95f4\u548c\u7a7a\u95f4\u7279\u6027\u8fdb\u884c\u8870\u51cf\u6216\u653e\u5927\u3002<\/span><\/p>\n


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

                  \n
                • \n
                  \u4fe1\u606f\u9009\u62e9\uff08Information Selection\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

                  \u6811\u7a81\u80fd\u591f\u901a\u8fc7\u96c6\u7fa4\u8f93\u5165\u548c\u6811\u7a81\u5c16\u5cf0<\/span>\uff08\u5982NMDA\u5c16\u5cf0\uff09<\/span>\u6765\u6267\u884c\u4fe1\u606f\u9009\u62e9\uff0c\u9009\u62e9\u6027\u5730\u653e\u5927\u6216\u4f20\u9012\u67d0\u4e9b\u8f93\u5165\u4fe1\u53f7\uff0c\u4ece\u800c\u5bf9\u91cd\u8981\u4fe1\u53f7\u8fdb\u884c\u7279\u5b9a\u54cd\u5e94\u3002<\/span><\/p>\n


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

                    \n
                  • \n
                    \u4fe1\u606f\u8def\u7531\uff08Information Routing\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

                    \u6811\u7a81\u5177\u5907\u4fe1\u606f\u8def\u7531\u7684\u80fd\u529b\uff0c\u53ef\u4ee5\u7531\u6291\u5236\u6027\u7a81\u89e6\u6765\u51b3\u5b9a\u4e0d\u540c\u8f93\u5165\u4fe1\u53f7\u7684\u4f20\u8f93\u8def\u5f84\uff0c\u4ee5\u4fbf\u8fdb\u884c\u7279\u5b9a\u7684\u5904\u7406\u3002<\/span><\/p>\n


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

                      \n
                    • \n
                      \u4fe1\u606f\u591a\u8def\u590d\u7528\uff08Information Multiplexing\uff09<\/strong><\/section>\n<\/li>\n<\/ul>\n

                      \u6811\u7a81\u53ef\u4ee5\u5b9e\u73b0\u4fe1\u606f\u591a\u8def\u590d\u7528\uff0c\u540c\u65f6\u5904\u7406\u6765\u81ea\u4e0d\u540c\u6765\u6e90\u7684\u4fe1\u53f7\uff0c\u8fd9\u4e9b\u4fe1\u53f7\u53ef\u80fd\u5305\u542b\u4e0d\u540c\u7684\u4fe1\u606f\u7c7b\u522b\uff0c\u4ece\u800c\u4f7f\u5355\u4e2a\u795e\u7ecf\u5143\u5177\u5907\u5bf9\u591a\u79cd\u8f93\u5165\u8fdb\u884c\u6574\u5408\u5904\u7406\u7684\u80fd\u529b\u3002<\/span><\/p>\n


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

                      \u4ece\u4fe1\u606f\u6574\u5408\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u7ec6\u80de\u4f53\u901a\u5e38\u5bf9\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u7ebf\u6027\u6574\u5408<\/strong>\uff0c\u7c7b\u4f3c\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684ReLU\u6fc0\u6d3b\u51fd\u6570\u3002\u7ebf\u6027\u6574\u5408\u610f\u5473\u7740\u8f93\u5165\u4fe1\u53f7\u7684\u5f71\u54cd\u662f\u7b80\u5355\u7684\u76f8\u52a0\u5173\u7cfb\uff0c\u6700\u7ec8\u7684\u8f93\u51fa\u4e0e\u8f93\u5165\u5448\u7ebf\u6027\u76f8\u5173\u3002\u800c\u6811\u7a81\u80fd\u591f\u5bf9\u5c40\u90e8\u7684\u5174\u594b\u6027\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u975e\u7ebf\u6027\u653e\u5927<\/strong>\uff0c\u8fd9\u79cd\u653e\u5927\u662f\u975e\u7ebf\u6027\u7684\uff0c\u610f\u5473\u7740\u591a\u4e2a\u8f93\u5165\u4fe1\u53f7\u7684\u7ec4\u5408\u6548\u679c\u5e76\u4e0d\u4ec5\u4ec5\u662f\u5176\u7ebf\u6027\u52a0\u548c\uff0c\u800c\u662f\u53ef\u80fd\u901a\u8fc7\u53e0\u52a0\u4ea7\u751f\u589e\u5f3a\u7684\u54cd\u5e94\u6216\u8005\u51cf\u5f31\u7684\u54cd\u5e94\u3002\u6811\u7a81\u7684\u975e\u7ebf\u6027\u6574\u5408\u548c\u7ec6\u80de\u4f53\u7684\u7ebf\u6027\u6574\u5408\u7ed3\u5408\u8d77\u6765\uff0c\u4f7f\u5f97\u795e\u7ecf\u5143\u53ef\u4ee5\u5bf9\u8f93\u5165\u4fe1\u53f7\u8fdb\u884c\u7ec6\u81f4\u4e14\u591a\u6837\u5316\u7684\u5904\u7406\uff0c\u540c\u65f6\u4fdd\u6301\u6574\u4f53\u7684\u7a33\u5b9a\u6027\u3002<\/span><\/p>\n


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

                      2.3 \u5927\u8111\u7cbe\u7ec6\u6a21\u578b\u80fd\u72ec\u7acb\u751f\u6210\u65b0\u7406\u8bba\uff0c\u662f\u4e0e\u5b9e\u9a8c\u79d1\u5b66\u5e73\u884c\u7684\u7406\u8bba\u4f53\u7cfb<\/strong><\/span><\/p>\n


                      <\/p>\n

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

                      \u7eb9\u72b6\u4f53\u4e2d\u68d8\u795e\u7ecf\u5143\u975e\u7ebf\u6027\u6811\u7a81\u8ba1\u7b97\u3002\uff5c<\/span>Synaptically driven state transitions in distal dendrites of striatal spiny neurons [2011]   Joshua L. PlotkinMichelle DayD.<\/span><\/p>\n

                      Cell-type\u2013specific inhibition of the dendritic plateau potential in striatal spiny projection neurons [2017]   Kai Du Yu-Wei Wu J. Kotaleski et al.<\/span><\/p>\n


                      <\/p>\n

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

                      \u7535\u7f06\u7406\u8bba\u5bf9\u65f6\u5e8f\u6027\u6291\u5236\u7684\u9884\u6d4b\u3002\uff5cSynaptically driven state transitions in distal dendrites of striatal spiny neurons [2011]   Joshua L. PlotkinMichelle DayD.<\/span><\/p>\n

                      Cell-type\u2013specific inhibition of the dendritic plateau potential in striatal spiny projection neurons [2017]   Kai Du Yu-Wei Wu J. Kotaleski et al.<\/span><\/p>\n


                      <\/p>\n

                      \u4e2d\u68d8\u795e\u7ecf\u5143<\/span>\uff08medium spiny neurons, MSNs\uff09<\/span>\u5728\u7eb9\u72b6\u4f53\u8fdc\u7aef\u7a81\u89e6\u6fc0\u6d3b\u540e\uff0c\u89c2\u5bdf\u5230\u4e86\u6811\u7a81\u8109\u51b2\u7684\u5f62\u6210\uff0c\u8fd9\u4e9b\u6811\u7a81\u8109\u51b2\u53ef\u80fd\u4e0e\u5927\u8111\u5bf9\u7279\u5f81\u7684\u7f16\u7801\u5bc6\u5207\u76f8\u5173<\/span> (Plotkin et.al 2011) <\/span>\u3002\u8fd9\u4e9b\u8109\u51b2\u662f\u7531\u4e8e\u7a81\u89e6\u8f93\u5165\u7279\u522b\u662fNMDA\u53d7\u4f53\u7684\u6fc0\u6d3b\u548c\u7535\u538b\u4f9d\u8d56\u6027\u9499\u901a\u9053\u7684\u4f5c\u7528\uff0c\u8fd9\u4e9b\u5143\u7d20\u5171\u540c\u4f5c\u7528\u4ea7\u751f\u4e86\u518d\u751f\u6027\u7535\u4f4d\u53d8\u5316\uff0c\u5373\u6811\u7a81\u5e73\u53f0\u7535\u538b\u3002\u8fd9\u79cd\u73b0\u8c61\u4e0eDu\u7b49\u4eba\u7684\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u7684\u7ed3\u679c\u9ad8\u5ea6\u4e00\u81f4<\/span>\uff08Du et.al 2017\uff09<\/span>\u3002<\/span><\/p>\n


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

                      Du\u7b49\u4eba\u5728\u7cbe\u7ec6\u6a21\u578b\u4e2d\u53d1\u73b0\uff0c\u6811\u7a81\u8fdc\u7aef\u4f4d\u7f6e\u7684\u6291\u5236\u6027\u8f93\u5165\u5bf9\u6811\u7a81\u5e73\u53f0\u7535\u538b\u7684\u5f71\u54cd\u4e0e\u65f6\u95f4\u6709\u5f88\u5f3a\u7684\u5173\u8054\u6027\u3002\u8fd9\u79cd\u73b0\u8c61\u88ab\u79f0\u4e3a\u201c\u65f6\u5e8f\u6027\u6291\u5236\u201d\u3002\u5982\u679c\u6291\u5236\u6027\u8f93\u5165\u7684\u65f6\u95f4\u4e0eNMDA\u53d7\u4f53\u7684\u6fc0\u6d3b\u975e\u5e38\u63a5\u8fd1\uff0c\u90a3\u4e48\u53ea\u4f1a\u4ea7\u751f\u5f88\u5c0f\u7684\u5206\u6d41\u6548\u5e94<\/span>\uff08shunting effect\uff09<\/span>\uff1b\u800c\u5982\u679c\u65f6\u95f4\u4e0a\u76f8\u5dee\u8f83\u5927\uff0c\u5219\u53ef\u80fd\u5b8c\u5168\u6291\u5236\u6389\u6574\u4e2a\u6811\u7a81\u5e73\u53f0\u7535\u538b\u3002\u8fd9\u79cd\u73b0\u8c61\u8868\u660e\u6811\u7a81\u7684\u6d3b\u6027\u53cd\u5e94\u5bf9\u6291\u5236\u6027\u8f93\u5165\u7684\u65f6\u5e8f\u975e\u5e38\u654f\u611f\u3002\u4e4b\u540e\u65af\u5766\u798f\u5b9e\u9a8c\u5ba4\u901a\u8fc7\u5728\u540c\u4e00\u4e2a\u6811\u7a81\u4e0a\u6fc0\u6d3b\u5174\u594b\u6027\u548c\u6291\u5236\u6027\u7a81\u89e6\uff0c\u9a8c\u8bc1\u4e86\u8fd9\u79cd\u65f6\u5e8f\u6027\u6291\u5236\u7684\u6548\u679c<\/strong>\u3002<\/span><\/p>\n


                      <\/p>\n

                      <\/em><\/span><\/section>\n
                      \u57fa\u4e8eNMDA\u9541\u79bb\u5b50\u963b\u6ede\u673a\u5236\u7684\u6a21\u578b\u9884\u6d4b\u3002\uff5c<\/span>Cell-type\u2013specific inhibition of the dendritic plateau potential in striatal spiny projection neurons [2017]   Kai DuYu-Wei WuJ. Kotaleski et al.<\/span><\/section>\n
                      Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I\/O Properties of Cortical Neurons. [2017]   Michael DoronG. ChindemiIdan Segev et al.<\/span><\/section>\n

                      <\/section>\n

                      <\/section>\n
                      <\/em><\/section>\n
                      \u65f6\u5e8f\u6027\u6291\u5236\u5728\u76ae\u5c42\u9525\u4f53\u795e\u7ecf\u5143\u4e2d\u540c\u6837\u5b58\u5728<\/span>\u3002\uff5cCell-type\u2013specific inhibition of the dendritic plateau potential in striatal spiny projection neurons [2017]   Kai DuYu-Wei WuJ. Kotaleski et al.<\/span><\/section>\n
                      Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I\/O Properties of Cortical Neurons. [2017]   Michael DoronG. ChindemiIdan Segev et al.<\/span><\/section>\n


                      <\/p>\n

                      \u8fd9\u4e00\u73b0\u8c61\u4ea7\u751f\u7684\u673a\u7406\u662f\u4ec0\u4e48\uff1f\u4f20\u7edf\u4e0a\u88ab\u8ba4\u4e3a\u4e3b\u8981\u662f\u7531\u4e8e\u5206\u6d41\u6291\u5236<\/span>\uff08shunting inhibition\uff09<\/span>\uff0c\u5373\u6291\u5236\u6027\u8f93\u5165\u901a\u8fc7\u589e\u52a0\u819c\u7535\u5bfc\uff0c\u4f7f\u5f97\u5174\u594b\u6027\u8f93\u5165\u5f15\u8d77\u7684\u7535\u4f4d\u53d8\u5316\u88ab\u524a\u5f31\u3002\u7136\u800c\uff0c\u5728\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u4e2d\u53d1\u73b0\uff0c\u8fd9\u4e00\u73b0\u8c61\u7684\u4ea7\u751f\u4e0eNMDA\u53d7\u4f53\u7684\u9541\u79bb\u5b50\u963b\u6ede<\/span>\uff08Mg\u00b2\u207a block\uff09<\/span>\u6709\u5173\u3002\u5177\u4f53\u6765\u8bf4\uff0cNMDA\u53d7\u4f53\u901a\u9053\u5728\u9541\u79bb\u5b50\u963b\u6ede\u4e0b\u5177\u6709\u7535\u538b\u4f9d\u8d56\u6027\uff0c\u5f53\u795e\u7ecf\u7ec6\u80de\u7684\u819c\u7535\u4f4d\u53d8\u5f97\u8db3\u591f\u8d1f\u65f6\uff0c\u9541\u79bb\u5b50\u4f1a\u4eceNMDA\u53d7\u4f53\u7684\u901a\u9053\u4e2d\u79fb\u9664\uff0c\u4ece\u800c\u5141\u8bb8\u9499\u79bb\u5b50\u548c\u5176\u4ed6\u79bb\u5b50\u6d41\u5165\u795e\u7ecf\u5143\uff0c\u5f15\u53d1\u6811\u7a81\u5e73\u53f0\u7535\u4f4d\u7684\u4ea7\u751f\u3002\u8fd9\u79cd\u8fc7\u7a0b\u4f7f\u5f97\u6811\u7a81\u7684\u6d3b\u6027\u53cd\u5e94\u5bf9\u65f6\u95f4\u4e0a\u7684\u6291\u5236\u6027\u8f93\u5165\u975e\u5e38\u654f\u611f\u3002\u6a21\u578b\u4e2d\u8fdb\u4e00\u6b65\u53d1\u73b0\uff0c\u5982\u679c\u79fb\u9664NMDA\u7684\u9541\u79bb\u5b50\u963b\u6ede<\/span>\uff08NMDA Mg\u00b2\u207a block\uff09<\/span>\uff0c\u5219\u65f6\u5e8f\u6027\u6291\u5236\u73b0\u8c61\u5c31\u4e0d\u4f1a\u518d\u51fa\u73b0\u3002\u8fd9\u610f\u5473\u7740\u9541\u79bb\u5b50\u963b\u6ede\u662f\u65f6\u5e8f\u6027\u6291\u5236\u4ea7\u751f\u7684\u5173\u952e\u56e0\u7d20\u3002<\/span><\/p>\n


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

                      \u5b9e\u9a8c\u4e5f\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u6a21\u578b\u9884\u6d4b\uff0c\u5f53\u53bb\u6389\u9541\u79bb\u5b50\u963b\u6ede\u65f6\uff0c\u65f6\u5e8f\u6027\u6291\u5236\u7684\u73b0\u8c61\u786e\u5b9e\u6d88\u5931\u4e86\u3002\u8fd9\u8fdb\u4e00\u6b65\u652f\u6301\u4e86\u5728\u6811\u7a81\u6c34\u5e73\u4e0a\uff0cNMDA\u53d7\u4f53\u53ca\u5176\u9541\u79bb\u5b50\u963b\u6ede\u5728\u65f6\u5e8f\u6027\u6291\u5236\u4e2d\u7684\u5173\u952e\u4f5c\u7528\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u7b80\u5355\u7684\u5206\u6d41\u6291\u5236\u673a\u5236\u3002\u540e\u6765\u7684\u7814\u7a76\u5728\u7406\u8bba\u4e0a\u8bc1\u660e\u4e86\u65f6\u5e8f\u6027\u6291\u5236\u5728\u76ae\u5c42\u9525\u4f53\u795e\u7ecf\u5143\u4e2d\u540c\u6837\u5b58\u5728\u3002<\/span><\/p>\n


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


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

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                      \n
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                      <\/section>\n

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

                      3. \u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5173\u7cfb\u548c\u542f\u793a<\/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

                      3.1 \u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5173\u7cfb<\/strong><\/span><\/p>\n


                      <\/section>\n
                      \u53cd\u5411\u4f20\u64ad<\/span>\uff08backpropagation\uff09<\/span>\u662f\u7528\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u4e3b\u8981\u8bad\u7ec3\u65b9\u6cd5\uff0c\u901a\u8fc7\u53cd\u9988\u8fde\u63a5\u6765\u4f20\u64ad\u8bef\u5dee\u4fe1\u53f7\uff0c\u4ece\u800c\u66f4\u65b0\u6743\u91cd\uff0c\u4ee5\u63d0\u9ad8\u7f51\u7edc\u6027\u80fd\u3002\u53cd\u5411\u4f20\u64ad\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6210\u529f\uff0c\u4f46\u5728\u751f\u7269\u5b66\u4e0a\u5b9e\u65bd\u5177\u6709\u6311\u6218\u6027\uff0c\u56e0\u4e3a\u5927\u8111\u4e2d\u7684\u53cd\u9988\u673a\u5236\u4e0e\u4eba\u5de5\u7f51\u7edc\u7684\u53cd\u9988\u673a\u5236\u5e76\u4e0d\u5b8c\u5168\u76f8\u540c\u3002Timothy \u7b49\u4eba\u63d0\u51fa\u4e86\u4e00\u79cd\u5047\u8bbe\uff0c\u5373\u6811\u7a81\u5e73\u53f0\u7535\u538b\u3001\u524d\u5411\u4f20\u9012\u3001\u540e\u5411\u4f20\u9012\u4ee5\u53ca\u52a8\u4f5c\u7535\u4f4d\u7684\u53cd\u5411\u4f20\u64ad\uff0c\u53ef\u80fd\u5171\u540c\u4f5c\u7528\u6765\u5f62\u6210\u4e00\u79cd\u7c7b\u4f3c\u53cd\u5411\u4f20\u64ad\u7684\u5b66\u4e60\u673a\u5236\u3002\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u79f0\u4e3a\u201c\u795e\u7ecf\u68af\u5ea6\u6d3b\u52a8\u5dee\u5f02<\/span>\uff08NGRAD\uff09<\/span>\u201d\u7684\u6846\u67b6\uff0c\u8ba4\u4e3a\u5927\u8111\u53ef\u4ee5\u901a\u8fc7\u53cd\u9988\u8fde\u63a5\u6765\u8ba1\u7b97\u6709\u6548\u7684\u7a81\u89e6\u66f4\u65b0\uff0c\u8fd9\u4e9b\u66f4\u65b0\u7c7b\u4f3c\u4e8e\u53cd\u5411\u4f20\u64ad\u7684\u8bef\u5dee\u4fe1\u53f7\u3002<\/span><\/section>\n

                      <\/span><\/section>\n
                      <\/em><\/section>\n
                      \u68af\u5ea6\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u662f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u6838\u5fc3\u3002\uff5cBackpropagation and the brain [2020]   Timothy P. Lillicrap Adam SantoroGeoffrey Hinton et al.<\/span><\/section>\n

                      <\/section>\n
                      <\/em><\/section>\n
                      \u5927\u8111\u4e2d\u5b66\u4e60\u7b97\u6cd5\u7684\u5047\u8bbe\u3002\uff5cBackpropagation and the brain [2020]   Timothy P. LillicrapAdam SantoroGeoffrey Hinton et al.<\/span><\/section>\n

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

                      3.2 \u5355\u4e2a\u795e\u7ecf\u5143\u6709\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b<\/strong><\/span><\/p>\n


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

                      Beniaguev\u7b49\u4eba\u57282021\u5e74\u53d1\u8868\u4e8e Neuron <\/em>\u671f\u520a\u7684\u4e00\u9879\u7814\u7a76\u8868\u660e\uff0c\u5355\u4e2a\u7cbe\u7ec6\u5efa\u6a21\u7684\u795e\u7ecf\u5143\u53ef\u4ee5\u5177\u6709\u76f8\u5f53\u4e8e5\u52308\u5c42\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u8ba1\u7b97\u80fd\u529b<\/strong>\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5355\u4e2a\u751f\u7269\u795e\u7ecf\u5143\u901a\u8fc7\u5176\u590d\u6742\u7684\u591a\u533a\u5ba4\u7ed3\u6784<\/span>\uff08multi-compartment dynamics\uff09<\/span>\uff0c\u80fd\u591f\u5904\u7406\u7c7b\u4f3c\u4e8e\u591a\u5c42\u4eba\u5de5\u7f51\u7edc\u7684\u590d\u6742\u8f93\u5165\u548c\u8f93\u51fa\u5173\u7cfb\uff0c\u5177\u6709\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b<\/strong>\u3002\u7ecf\u8fc7\u68af\u5ea6\u8bad\u7ec3\uff0c\u4e00\u4e2a\u7cbe\u7ec6\u795e\u7ecf\u5143\u5c31\u53ef\u4ee5\u505a\u201c\u5f02\u6216\u201d\u63a8\u7406<\/span>\uff08XOR reasoning\uff09<\/span>\uff0c\u5c55\u73b0\u4e86\u5355\u4e2a\u795e\u7ecf\u5143\u4e0a\u5f3a\u5927\u7684\u903b\u8f91\u63a8\u7406\u80fd\u529b\u3002<\/span><\/p>\n


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

                      \u867d\u7136\u5355\u4e2a\u795e\u7ecf\u5143\u5177\u6709\u975e\u5e38\u590d\u6742\u548c\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\uff0c\u4f46\u662f\u5f53\u628a\u8fd9\u4e9b\u5355\u4e2a\u795e\u7ecf\u5143\u6269\u5c55\u5230\u5927\u89c4\u6a21\u7f51\u7edc\u65f6\uff0c\u7814\u7a76\u8005\u9700\u8981\u6743\u8861\u6a21\u578b\u7684\u590d\u6742\u6027\u4e0e\u7f51\u7edc\u7684\u53ef\u6269\u5c55\u6027<\/strong>\u3002\u7814\u7a76\u7684\u672a\u6765\u65b9\u5411\u662f\u7ed3\u5408\u590d\u6742\u7684\u8be6\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u548c\u5927\u89c4\u6a21\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5f15\u5165\u65b0\u7684\u7279\u6027\u548c\u66f4\u590d\u6742\u7684\u884c\u4e3a\uff0c\u4ee5\u66f4\u597d\u5730\u6a21\u62df\u751f\u7269\u5927\u8111\u7684\u529f\u80fd\u3002<\/span><\/p>\n


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

                      <\/em><\/span><\/section>\n
                      \u5355\u4e2a\u795e\u7ecf\u5143\u6709\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u3002\uff5cSingle cortical neurons as deep artificial neural networks [2021]   David Beniaguev<\/span><\/section>\n

                      <\/section>\n
                      <\/em><\/section>\n
                      \u6a21\u578b\u590d\u6742\u6027\u4e0e\u89c4\u6a21\u7684\u7814\u7a76\u8fdb\u5c55\u3002\uff5c<\/span>Single cortical neurons as deep artificial neural networks [2021]   David Beniaguev<\/span><\/section>\n


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


                      <\/p>\n

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                      \n
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                      <\/section>\n

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

                      4. \u5927\u89c4\u6a21\u7cbe\u7ec6\u6a21\u62df\u7684\u6838\u5fc3\u6311\u6218\u4e0e\u89e3\u51b3\u529e\u6cd5<\/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

                      4.1 \u5927\u8111\u7cbe\u7ec6\u6a21\u62df\u7684\u6838\u5fc3\u6311\u6218<\/strong><\/span><\/p>\n


                      <\/p>\n

                      \u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u62df\u76ee\u524d\u9762\u4e34\u8ba1\u7b97\u6548\u7387\u4f4e\u3001\u786c\u4ef6\u9650\u5236\u548c\u5de5\u5177\u94fe\u4e0d\u8db3\u7b49\u591a\u65b9\u9762\u6311\u6218<\/strong>\u3002\u5c3d\u7ba1\u5982Blue Brain Project\u548cAllen Institute\u7b49\u9879\u76ee\u5728\u63a8\u8fdb\u5927\u89c4\u6a21\u795e\u7ecf\u5143\u6a21\u62df\u4e0a\u53d6\u5f97\u4e86\u8fdb\u5c55\uff0c\u4f46\u73b0\u6709\u7684\u8ba1\u7b97\u5e73\u53f0\u548c\u786c\u4ef6\u80fd\u529b\u8fdc\u4e0d\u80fd\u6ee1\u8db3\u590d\u6742\u7684\u751f\u7269\u795e\u7ecf\u5143\u6a21\u578b\u7684\u9700\u6c42\u3002\u8fd9\u79cd\u5c40\u9650\u7c7b\u4f3c\u4e8e\u6df1\u5ea6\u5b66\u4e60\u57282006\u5e74\u4e4b\u524d\u9762\u4e34\u7684\u74f6\u9888\uff0c\u672a\u6765\u53ef\u80fd\u9700\u8981\u5f00\u53d1\u57fa\u4e8eGPU\u7684\u8ba1\u7b97\u5e73\u53f0\u4ee5\u53ca\u4e13\u95e8\u7684\u8d85\u7b97\u548c\u82af\u7247\u8bbe\u8ba1\uff0c\u4ee5\u66f4\u597d\u5730\u652f\u6301\u795e\u7ecf\u79d1\u5b66\u9886\u57df\u7684\u5927\u89c4\u6a21\u6a21\u62df\u548c\u8ba1\u7b97\u3002<\/span><\/p>\n


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

                      <\/em><\/section>\n
                      \u76ee\u524d\u5927\u8111\u7cbe\u7ec6\u6a21\u62df\u7684\u6838\u5fc3\u6311\u6218\u3002\uff5cSoftware for Brain Network Simulations: A Comparative Study [2017]   Ruben A. Tikidji-Hamburyan Vikram Narayana Tarek A. El-Ghazawi et al.<\/span><\/section>\n

                      <\/section>\n
                      <\/em><\/section>\n
                      \u5f53\u524d\u4e3b\u6d41\u7684\u5927\u8111\u6a21\u62df\u5de5\u5177\u3002\uff5cSoftware for Brain Network Simulations: A Comparative Study [2017]   Ruben A. Tikidji-Hamburyan Vikram NarayanaTarek A. El-Ghazawi et al.<\/span><\/section>\n


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

                      4.2 \u8ba1\u7b97\u6548\u7387\u63d0\u5347-\u4f20\u7edf\u65b9\u6cd5<\/strong><\/span><\/p>\n


                      <\/p>\n

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

                      \u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u62df\u7684\u74f6\u9888<\/span><\/p>\n


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

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

                      \u7535\u7f06\u7406\u8bba\u7684\u6570\u503c\u65b9\u6cd5<\/span><\/p>\n


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

                      \u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u5728\u6a21\u62df\u65f6\u4eff\u771f\u901f\u5ea6\u6162\uff0c\u8fd9\u4e0e\u5b83\u6a21\u62df\u795e\u7ecf\u5143\u7684\u65b9\u5f0f\u548c\u5e95\u5c42\u7684\u8ba1\u7b97\u65b9\u6cd5\u5bc6\u5207\u76f8\u5173\u3002\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u4f7f\u7528\u5dee\u5206\u6cd5\u8fdb\u884c\u7535\u538b\u8fed\u4ee3\u8ba1\u7b97\uff0c\u8fd9\u79cd\u65b9\u6cd5\u8ba1\u7b97\u590d\u6742\u4e14\u9700\u8981\u5904\u7406\u5927\u91cf\u7684\u8026\u5408\u5173\u7cfb\uff0c\u5bfc\u81f4\u4eff\u771f\u9700\u8981\u9010\u6b65\u8fed\u4ee3\u591a\u4e2a\u533a\u6bb5\uff0c\u8ba1\u7b97\u590d\u6742\u6027\u5448\u6307\u6570\u589e\u957f\u3002<\/span><\/p>\n


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

                      \u7535\u7f06\u7406\u8bba\u5728\u591a\u533a\u5ba4\u795e\u7ecf\u5143\u6a21\u578b\u4e2d\u901a\u8fc7\u6570\u503c\u65b9\u6cd5\u8ba1\u7b97\uff0c\u901a\u8fc7\u5c06\u6811\u7a81\u548c\u8f74\u7a81\u5206\u6bb5\uff0c\u7ed3\u5408\u79bb\u6563\u5316\u7684\u5dee\u5206\u65b9\u6cd5\u6765\u6a21\u62df\u7535\u4fe1\u53f7\u5728\u795e\u7ecf\u5143\u5185\u7684\u4f20\u64ad\u3002\u4e3a\u4e86\u9ad8\u6548\u89e3\u51b3\u8fd9\u79cd\u6570\u503c\u8ba1\u7b97\u4e2d\u7684\u590d\u6742\u8026\u5408\u95ee\u9898\uff0c\u53ef\u4ee5\u4f7f\u7528\u6d77\u56e0\u65af\u77e9\u9635\uff0c\u6709\u52a9\u4e8e\u5c06\u590d\u6742\u7684\u504f\u5fae\u5206\u65b9\u7a0b\u7ec4\u8f6c\u5316\u4e3a\u7a00\u758f\u7ebf\u6027\u65b9\u7a0b\u7ec4\uff0c\u4ece\u800c\u53ef\u4ee5\u4f7f\u7528\u66f4\u9ad8\u6548\u7684\u6570\u503c\u65b9\u6cd5\u6765\u6c42\u89e3\u3002\u8ba1\u7b97\u590d\u6742\u5ea6\u53ef\u4ee5\u4ece\uff2f(\uff2e\u00b3)\u964d\u4f4e\u4e3a\uff2f(2\uff2e)\u3002<\/span><\/p>\n


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

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

                      \u7535\u7f06\u7406\u8bba\u4e2d\u7684\u6d77\u56e0\u65af\u77e9\u9635<\/span><\/p>\n


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

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

                      \u6d77\u56e0\u65af\u7b97\u6cd5\u884c\u4e0e\u884c\u4e4b\u95f4\u4f1a\u6709\u4f9d\u8d56\u5173\u7cfb<\/span><\/p>\n


                      <\/p>\n

                      \u6d77\u56e0\u65af\u65b9\u6cd5\u662f\u7528\u6765\u9ad8\u6548\u6c42\u89e3\u591a\u533a\u5ba4\u795e\u7ecf\u5143\u6a21\u578b\u4e2d\u7684\u4f2a\u4e09\u5bf9\u89d2\u77e9\u9635\u7684\u6570\u503c\u65b9\u6cd5\u3002\u7531\u4e8e\u795e\u7ecf\u5143\u6811\u7a81\u548c\u8f74\u7a81\u7684\u5206\u53c9\uff0c\u77e9\u9635\u4e2d\u5b58\u5728\u4e00\u4e9b\u96f6\u6563\u7684\u975e\u96f6\u5143\u7d20\uff0c\u4f7f\u5f97\u5b83\u4e0d\u518d\u662f\u4e00\u4e2a\u6807\u51c6\u7684\u4e09\u5bf9\u89d2\u77e9\u9635\uff0c\u800c\u662f\u201c\u4f2a\u4e09\u5bf9\u89d2\u77e9\u9635\u201d\uff0c\u5229\u7528\u8fd9\u79cd\u77e9\u9635\u7684\u7a00\u758f\u6027\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u91cf\u3002\u4f46\u662f\u5728\u4f7f\u7528\u9ad8\u65af\u6d88\u5143\u6cd5\u6d88\u9664\u7684\u8fc7\u7a0b\u4e2d\uff0c\u884c\u4e0e\u884c\u4e4b\u95f4\u4f1a\u4ea7\u751f\u4f9d\u8d56\u5173\u7cfb\uff0c\u5bfc\u81f4\u6c42\u89e3\u8fc7\u7a0b\u5fc5\u987b\u662f\u4e32\u884c\u7684\uff0c\u65e0\u6cd5\u5b9e\u73b0\u9ad8\u6548\u7684\u5e76\u884c\u5316\u3002<\/span><\/p>\n


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

                      4.3 \u8ba1\u7b97\u6548\u7387\u63d0\u5347-\u5e76\u884c\u5316\u65b9\u6cd5<\/strong><\/span><\/p>\n


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

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

                      \u6811\u7a81\u5206\u5c42\u8c03\u5ea6\u65b9\u6cd5<\/span><\/p>\n


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

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

                      GPUs\u663e\u5b58\u4e0a\u7684\u4f18\u5316<\/span><\/p>\n


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

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

                      \u6df1\u5ea6\u5206\u5c42\u8c03\u5ea6\u65b9\u6cd5\u4e0e\u4f20\u7edf\u65b9\u6cd5\u7684\u6bd4\u8f83<\/span><\/p>\n


                      <\/p>\n

                      \u4e3a\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0cDu\u7b49\u4eba\u63d0\u51fa\u4e86\u6811\u7a81\u5206\u5c42\u8c03\u5ea6\u65b9\u6cd5<\/span>\uff08Dendritic Hierarchical Scheduling\uff09<\/span>\u3002\u8be5\u7b97\u6cd5\u4ece\u6700\u6df1\u7684\u8282\u70b9\u8fdb\u884c\u8ba1\u7b97\uff0c\u8be5\u8282\u70b9\u5bf9\u5176\u5b83\u8282\u70b9\u7684\u4f9d\u8d56\u7a0b\u5ea6\u6700\u4f4e\u3002\u4ece\u6570\u5b66\u4e0a\u53ef\u4ee5\u8bc1\u660e\u8fd9\u79cd\u7b97\u6cd5\u7684\u6548\u7387\u662f\u6700\u9ad8\u7684\u3002\u8be5\u7b97\u6cd5\u65e2\u6709\u6d77\u56e0\u65af\u7b97\u6cd5\u540c\u6837\u7684\u7b97\u6cd5\u590d\u6742\u5ea6\uff0c\u53c8\u53ef\u4ee5\u901a\u8fc7GPU\u8fdb\u884c\u5e76\u884c\u8fd0\u7b97\u3002\u57fa\u4e8e\u8fd9\u4e2a\u7b97\u6cd5\u7684\u5206\u6790\u53d1\u73b0\uff0c\u6c42\u89e3\u4e0d\u540c\u6811\u7a81\u5f62\u6001\u7684\u795e\u7ecf\u5143\u4f1a\u6709\u4e00\u4e2a\u8ba1\u7b97\u4e0a\u754c\uff0c\u5728\u8ba1\u7b97\u65f6\u6700\u591a16\u4e2a\u7ebf\u7a0b\u5c31\u8db3\u591f\u4e86\uff0c\u8fd9\u5728\u6570\u5b66\u4e0a\u628a\u6c42\u89e3\u7535\u7f06\u7406\u8bba\u65b9\u7a0b\u7684\u8fd0\u7b97\u6548\u7387\u63d0\u9ad8\u4e8610\u500d\u5de6\u53f3\u3002<\/span><\/p>\n


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

                      \u5728\u5b9e\u9645\u64cd\u4f5c\u65f6\uff0c\u5bf9\u663e\u5b58\u7684\u4f18\u5316\u81f3\u5173\u91cd\u8981\u3002\u7535\u7f06\u7406\u8bba\u4e2d\u7684\u533a\u5ba4<\/span>\uff08compartment\uff09<\/span>\u9700\u8981\u9ad8\u6548\u5730\u6309\u7167\u4e00\u5b9a\u7c7b\u522b\u5b58\u50a8\u5728\u663e\u5b58\u4e2d\uff0c\u800c\u4e0d\u662f\u968f\u673a\u6392\u5217\uff0c\u4ee5\u6700\u5927\u5316\u8ba1\u7b97\u6027\u80fd\u5e76\u51cf\u5c11\u5b58\u53d6\u5ef6\u8fdf\u3002<\/span><\/p>\n


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

                      DHS+GPU\u7684\u4f18\u5316\u65b9\u6cd5\u76f8\u8f83\u4e8e\u4f20\u7edf\u7684NEURON\u8ba1\u7b97\u5f15\u64ce\u5728\u795e\u7ecf\u5143\u4eff\u771f\u4e2d\u6709\u4e86\u660e\u663e\u7684\u6027\u80fd\u63d0\u5347\uff0c\u76f8\u5bf9\u4e8e\u4f7f\u7528\u4f20\u7edfCPU\u7684NEURON\u8ba1\u7b97\u5f15\u64ce\uff0c\u8ba1\u7b97\u6548\u7387\u63d0\u9ad8\u4e86\u9ad8\u8fbe1000\u500d\uff1b\u4e0e\u5f53\u524d\u7684\u9ad8\u6548\u4eff\u771f\u5f15\u64ceCoreNEURON\u76f8\u6bd4\uff0cDHS+GPU\u7684\u901f\u5ea6\u63d0\u9ad8\u4e86\u7ea610\u500d\u3002<\/span><\/p>\n


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                      5. \u7cbe\u7ec6\u6a21\u578b\u7684\u5e94\u7528<\/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

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

                      \u5c0f\u9f20\u5927\u8111\u6a21\u62df<\/span><\/p>\n


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

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

                      \u57fa\u4e8e\u7cbe\u7ec6\u795e\u7ecf\u5143\u7684\u7c7b\u8111\u6a21\u578b<\/span><\/p>\n


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

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

                      \u7c7b\u8111\u6a21\u578b\u7684\u795e\u7ecf\u5143\u6fc0\u6d3b<\/span><\/p>\n


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

                      \u4e00\u65b9\u9762\uff0c\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u53ef\u4ee5\u7528\u4e8e\u5927\u8111\u6a21\u62df\uff0cDHS\u65b9\u6cd5\u6781\u5927\u7684\u63d0\u9ad8\u4e86\u5927\u8111\u6a21\u62df\u7684\u6548\u7387<\/strong>\u3002Du\u7b49\u4eba\u75288\u5757GPU\u6a21\u62df\u4e86\u5c0f\u9f20\u57fa\u5e95\u6838\u8111\u533a\u7684\u7eb9\u72b6\u4f53\u4e2d\uff15\u4e07\u4e2a\u7cbe\u7ec6\u795e\u7ecf\u5143\uff0c\u6781\u5927\u7684\u964d\u4f4e\u4e86\u8ba1\u7b97\u8d44\u6e90\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u53ef\u4ee5\u6784\u5efa\u57fa\u4e8e\u7cbe\u7ec6\u795e\u7ecf\u5143\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\uff0c\u89e3\u51b3\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/span><\/p>\n


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                      <\/em><\/span><\/section>\n
                      \u5229\u7528\u5bf9\u6297\u653b\u51fb\u6d4b\u8bd5\u7c7b\u8111\u6a21\u578b\u7684\u9c81\u68d2\u6027<\/span><\/section>\n

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

                      \u5bf9\u6297\u653b\u51fb\u6d4b\u8bd5\u7684\u6548\u679c<\/span><\/p>\n


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                      \u4e3a\u4e86\u6d4b\u8bd5\u57fa\u4e8e\u7cbe\u7ec6\u795e\u7ecf\u5143\u7684\u7c7b\u8111\u6a21\u578b\u7684\u9c81\u68d2\u6027\uff0cZhang\u7b49\u4eba\u7ed9\u8f93\u5165\u7684\u56fe\u7247\u6dfb\u52a0\u5bf9\u6297\u653b\u51fb\u566a\u58f0\uff0c\u53d1\u73b0\u5176\u9c81\u68d2\u6027\u663e\u8457\u9ad8\u4e8e\u4f20\u7edf\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/span><\/p>\n


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

                      \u6a21\u578b\u9c81\u68d2\u6027\u53ef\u80fd\u7531\u4e8e\u6811\u7a81\u7684\u6ee4\u6ce2\u4f5c\u7528<\/span><\/p>\n


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

                      \u7a81\u89e6\u4f4d\u7f6e\u5bf9\u6a21\u578b\u9c81\u68d2\u6027\u7684\u4fc3\u8fdb\u4f5c\u7528<\/span><\/p>\n


                      <\/p>\n

                      \u57fa\u4e8e\u7cbe\u7ec6\u795e\u7ecf\u5143\u7684\u7c7b\u8111\u6a21\u578b\u4e3a\u4ec0\u4e48\u9c81\u68d2\u6027\u4f1a\u66f4\u597d?\u4f5c\u8005\u5b9e\u9a8c\u53d1\u73b0\uff0c\u5f53\u524d\u9988\u8fde\u63a5\u5168\u90e8\u6295\u5230\u6700\u8fdc\u7aef\u65f6\u9c81\u68d2\u6027\u6bd4\u5168\u90e8\u6295\u5230\u80de\u4f53\u9644\u8fd1\u660e\u663e\u66f4\u5f3a\uff0c\u8868\u660e\u8f93\u5165\u5bf9\u6811\u7a81\u4e0a\u7684\u4f4d\u7f6e\u6bd4\u8f83\u654f\u611f\uff0c\u56e0\u6b64\u731c\u6d4b\u8fd9\u53ef\u80fd\u662f\u7531\u4e8e\u6811\u7a81\u7684\u6ee4\u6ce2\u4f5c\u7528\u3002<\/span><\/p>\n


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                      6. \u5c55\u671b\uff1a\u5982\u4f55\u6784\u5efa\u4eba\u7c7b\u667a\u80fd\uff1f<\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

                      \n

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


                      <\/p>\n

                      <\/em><\/span><\/section>\n
                      top-down vs bottom-up?|Mo<\/span>deling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction [2006]   A. HerzT. GollischD. Jaeger et al.<\/span><\/section>\n
                      The Diversity of Cortical Inhibitory Synapses [2016]   Y. KubotaF. KarubeY. Kawaguchi et al.<\/span><\/section>\n

                      <\/span><\/section>\n
                      <\/em><\/span><\/section>\n
                      \u5927\u8bed\u8a00\u6a21\u578b vs \u7cbe\u7ec6\u5927\u8111\u6a21\u578b? | Mo<\/span>deling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction [2006]   A. HerzT. GollischD. Jaeger et al.<\/span><\/section>\n
                      The Diversity of Cortical Inhibitory Synapses [2016]   Y. KubotaF. KarubeY. Kawaguchi et al.<\/span><\/span><\/section>\n


                      <\/p>\n

                      \u76ee\u524d\u8ba4\u4e3a\u6784\u5efa\u672a\u6765\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7684\u65b9\u5f0f\u6709\u4e24\u79cd\uff1abottom-up\u548ctop-down\u3002<\/span><\/p>\n


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

                      Top-down\u662f\u901a\u8fc7\u7b80\u5316\u548c\u62bd\u8c61\uff0c\u5c06\u795e\u7ecf\u5143\u7684\u590d\u6742\u751f\u7269\u7ec6\u8282\u9010\u6e10\u7b80\u5316\u4e3a\u529f\u80fd\u6a21\u5757\uff0c\u76f4\u81f3\u5f62\u6210\u975e\u5e38\u7b80\u5316\u7684\u9ed1\u7bb1\u6a21\u578b\u3002<\/strong>\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u9886\u57df\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\uff0c\u5176\u6027\u80fd\u751a\u81f3\u8d85\u8fc7\u4e86\u4eba\u7c7b\u3002\u8fd9\u8868\u660e\uff0c\u901a\u8fc7\u9002\u5f53\u7684\u62bd\u8c61\u548c\u7b80\u5316\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u5ea6\u590d\u6742\u7684\u529f\u80fd\uff0c\u7c7b\u4f3c\u4e8e\u751f\u7269\u795e\u7ecf\u7cfb\u7edf\u4e2d\u7684\u8ba4\u77e5\u4efb\u52a1\u3002\u8fd9\u4e3atop-down\u8def\u5f84\u63d0\u4f9b\u4e86\u4e00\u5b9a\u7684\u8bc1\u636e\u652f\u6301\u3002\u4f46\u662f\u8fd9\u79cd\u7b80\u5316\u6a21\u578b\u4e0e\u5927\u8111\u795e\u7ecf\u5143\u5dee\u522b\u5de8\u5927\uff0c\u76ee\u524d\u7684\u7814\u7a76\u624b\u6bb5\u65e0\u6cd5\u4ece\u751f\u7269\u5b66\u6216\u7269\u7406\u7406\u8bba\u89d2\u5ea6\u89e3\u91ca\u5176\u667a\u80fd\u884c\u4e3a\u7684\u51fa\u73b0\uff0c\u5176\u6f14\u5316\u65b9\u5411\u4e5f\u662f\u4e0d\u53ef\u63a7\u7684\u3002<\/span><\/p>\n


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

                      B<\/strong><\/span>ottom-up\u662f\u901a\u8fc7\u7cbe\u7ec6\u5730\u6a21\u62df\u795e\u7ecf\u5143\u548c\u5b83\u4eec\u4e4b\u95f4\u7684\u590d\u6742\u4ea4\u4e92\uff0c\u8bd5\u56fe\u901a\u8fc7\u5927\u91cf\u795e\u7ecf\u5143\u7684\u76f8\u4e92\u4f5c\u7528\u6765\u6d8c\u73b0\u51fa\u667a\u80fd\u3002<\/strong>\u8fd9\u79cd\u65b9\u6cd5\u91cd\u89c6\u6bcf\u4e00\u4e2a\u751f\u7269\u7ec6\u8282\uff0c\u4ece\u57fa\u672c\u7684\u795e\u7ecf\u5143\u884c\u4e3a\uff0c\u5230\u6811\u7a81\u3001\u7a81\u89e6\u3001\u590d\u6742\u7f51\u7edc\u8fde\u63a5\u7b49\uff0c\u901a\u8fc7\u4e0d\u65ad\u589e\u52a0\u5c42\u6b21\u7684\u7ec6\u8282\u6765\u5b9e\u73b0\u9ad8\u5c42\u529f\u80fd\u3002<\/span>\u8fd9\u4e00\u8def\u5f84\u8ba4\u4e3a\u590d\u6742\u7684\u62d3\u6251\u7ed3\u6784\u53ca\u5176\u591a\u6837\u7684\u7a81\u89e6\u8fde\u63a5\u53ef\u80fd\u662f\u667a\u80fd\u5f62\u6210\u7684\u57fa\u7840\u3002<\/span>\u667a\u80fd\u5e76\u975e\u901a\u8fc7\u9010\u6b65\u7b80\u5316\u548c\u62bd\u8c61\u76f4\u63a5\u6784\u5efa\uff0c\u800c\u662f\u901a\u8fc7\u8bb8\u591a\u4f4e\u5c42\u6b21\u795e\u7ecf\u5143\u548c\u56de\u8def\u7684\u76f8\u4e92\u4f5c\u7528\u800c\u81ea\u7136\u6d8c\u73b0\u51fa\u6765\u7684\u3002<\/span><\/p>\n


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

                      \u8bb2\u8005\u8ba4\u4e3a\u901a\u8fc7\u7cbe\u7ec6\u5927\u8111\u6a21\u578b\u6709\u53ef\u80fd\u5b9e\u73b0\u57fa\u4e8e\u4eba\u8111\u7684\u901a\u7528\u667a\u80fd\u3002<\/strong>\u7cbe\u7ec6\u5927\u8111\u6a21\u578b\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u8bbe\u8ba1\u903b\u8f91\u4e00\u6837\uff0c\u5f62\u5f0f\u4e0a\u6ee1\u8db3\u89c4\u6a21\u6cd5\u5219\uff0c\u90fd\u662f\u6570\u636e\u9a71\u52a8\u3002\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b\u4f7f\u5f97\u5176\u62e5\u6709\u66f4\u5927\u7684\u6f5c\u529b\u3002\u4f46\u662f\u60f3\u8981\u5b9e\u73b0\u57fa\u4e8e\u7cbe\u7ec6\u5927\u8111\u6a21\u578b\u7684\u4eba\u8111\u667a\u80fd\uff0c\u9762\u4e34\u7740\u5f88\u591a\u6311\u6218\u3002\u4e00\u65b9\u9762\u9700\u8981\u9ad8\u6027\u80fd\u7684\u8ba1\u7b97\u6846\u67b6\u5bf9\u5927\u8111\u8fdb\u884c\u6a21\u62df\uff0c\u53e6\u4e00\u65b9\u9762\u9700\u8981\u9ad8\u6548\u7684\u8bad\u7ec3\u65b9\u6cd5\u3002<\/span><\/p>\n


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                      \u5b66\u8005\u4ecb\u7ecd<\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n


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                      <\/section>\n

                      \u675c\u51ef<\/span><\/strong>\uff0c<\/span>\u5317\u4eac\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u52a9\u7406\u7814\u7a76\u5458\u3002\u675c\u51ef\u535a\u58eb\u4e8e2002\u5e74\u5728\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u98de\u884c\u5668\u52a8\u529b\u5de5\u7a0b\u7cfb\u83b7\u5f97\u5b66\u58eb\u5b66\u4f4d\uff0c\u5e76\u4e8e2016\u5e74\u5728\u745e\u5178\u5361\u7f57\u7433\u65af\u5361\u533b\u5b66\u9662\u795e\u7ecf\u79d1\u5b66\u7cfb\u53d6\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c\u968f\u540e\u5728\u8be5\u9662\u8fdb\u884c\u4e86\u535a\u58eb\u540e\u7814\u7a76\u81f32020\u5e74\u3002\u57282013\u81f32016\u5e74\u95f4\uff0c\u4ed6\u662f\u6b27\u76df\u8111\u8ba1\u5212\u201c\u5927\u8111\u4eff\u771f\u5e73\u53f0\u201d\u745e\u5178\u56e2\u961f\u7684\u4e3b\u8981\u6210\u5458\u30022020\u5e74\uff0c\u52a0\u5165\u4e86\u5317\u4eac\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\uff0c\u5e76\u53c2\u4e0e\u521b\u5efa\u4e86\u5317\u4eac\u667a\u6e90\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u7684\u751f\u547d\u6a21\u62df\u90e8\u95e8\u3002<\/span><\/h3>\n
                      \u7814\u7a76\u65b9\u5411\uff1a\u5927\u8111\u7cbe\u7ec6\u4eff\u771f\uff0c\u6811\u7a81\u8ba1\u7b97\uff0c\u4ee5\u53ca\u57fa\u4e8e\u5927\u8111\u7cbe\u7ec6\u6a21\u578b\u7684\u65b0\u578b\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u548c\u7406\u8bba\u3002\u4e3b\u8981\u8d21\u732e\u5305\u62ec\u6784\u5efa\u4e86\u9996\u4e2a\u9488\u5bf9\u57fa\u5e95\u6838\u8111\u533a\u7684\u7cbe\u7ec6\u795e\u7ecf\u5143\u6a21\u578b\uff0c\u5e76\u5f00\u53d1\u4e86\u4e00\u79cd\u57fa\u4e8eGPU\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u6846\u67b6\u2014DeepDendrite\u3002\u8be5\u6846\u67b6\u4e0d\u4ec5\u663e\u8457\u63d0\u9ad8\u4e86\u5927\u8111\u6a21\u62df\u7684\u8ba1\u7b97\u901f\u5ea6\uff0c\u8fd8\u6210\u529f\u5730\u5c06\u6811\u7a81\u8ba1\u7b97\u539f\u7406\u4e0e\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u8fdb\u884c\u4e86\u7d27\u5bc6\u7684\u6574\u5408\u3002<\/span><\/section>\n


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                      \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<\/span>\u56de\u653e<\/span>\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/section>\n


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                      \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<\/strong><\/a><\/p>\n


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                      \u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/p>\n

                      <\/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><\/section>\n
                      2. <\/strong>\u795e\u7ecf\u590d\u6742\u6027\u7ecf\u5178\u7efc\u8ff0\uff1a\u6d8c\u73b0\u7684\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66<\/a><\/strong><\/span><\/section>\n
                      3. <\/strong>\u7c7b\u8111\u8ba1\u7b97\u6a21\u578b\u767bNature\u5b50\u520a\uff1a\u53d7\u5927\u8111\u542f\u53d1\u7684\u4eba\u5de5\u6811\u7a81\u7f51\u7edc\uff0c\u5b9e\u73b0\u9ad8\u80fd\u6548AI<\/a><\/strong><\/span><\/section>\n
                      <\/strong><\/strong><\/section>\n
                      4. <\/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>5.<\/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

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

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

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