{"id":28142,"date":"2021-08-15T22:55:44","date_gmt":"2021-08-15T14:55:44","guid":{"rendered":"https:\/\/swarma.org\/?p=28142"},"modified":"2021-08-15T22:55:44","modified_gmt":"2021-08-15T14:55:44","slug":"%e5%9f%ba%e4%ba%8e%e4%ba%ba%e8%84%91%e8%bf%9e%e6%8e%a5%e7%bb%84%e7%9a%84%e4%ba%ba%e5%b7%a5%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%ef%bc%8c%e4%bc%9a%e6%98%af%e6%9b%b4%e5%a5%bd%e7%9a%84ai%e5%90%97%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=28142","title":{"rendered":"\u57fa\u4e8e\u4eba\u8111\u8fde\u63a5\u7ec4\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u4f1a\u662f\u66f4\u597d\u7684AI\u5417\uff1f"},"content":{"rendered":"
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\u8fd1\u65e5\uff0c\u6765\u81ea\u52a0\u62ff\u5927\u9ea6\u5409\u5c14\u5927\u5b66\u8499\u7279\u5229\u5c14\u795e\u7ecf\u5b66\u7814\u7a76\u6240\uff08<\/span>Montr\u00e9al Neurological Institute, McGill University\uff09<\/span> \u548c\u9b41\u5317\u514b\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u6240<\/span>\uff08Quebec Artificial Intelligence Institute\uff09<\/span>\u7684\u4e00\u7ec4\u7814\u7a76\u4eba\u5458\u91cd\u5efa\u4e86\u5927\u8111\u8fde\u63a5\u6a21\u5f0f\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc <\/span>(ANN)<\/span>\u3002\u8bad\u7ec3 ANN \u6267\u884c\u8ba4\u77e5\u8bb0\u5fc6\u4efb\u52a1\uff0c\u5e76\u89c2\u5bdf\u5b83\u5982\u4f55\u5b8c\u6210\u4efb\u52a1\u3002\u8fd9\u9879\u5de5\u4f5c\u4e3a\u53d1\u73b0\u5927\u8111\u7684\u7f51\u7edc\u7ec4\u7ec7\u5982\u4f55\u4f18\u5316\u8ba4\u77e5\u80fd\u529b\u5f00\u8f9f\u4e86\u65b0\u7684\u673a\u4f1a\u3002<\/span><\/section>\n

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\u8be5\u7814\u7a76\u4ee5\u300cLearning function from structure in neuromorphic networks\u300d\u4e3a\u9898\uff0c\u4e8e 8 \u6708 9 \u65e5 \u53d1\u5e03\u4e8e\u300aNature Machine Intelligence\u300b\u6742\u5fd7\u4e0a\u3002<\/span><\/section>\n

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ANN \u662f\u4e00\u4e2a\u7531\u591a\u4e2a\u8f93\u5165\u548c\u8f93\u51fa\u5355\u5143\u7ec4\u6210\u7684\u8ba1\u7b97\u7cfb\u7edf\uff0c\u5f88\u50cf\u751f\u7269\u5927\u8111\u3002<\/span><\/strong><\/span><\/section>\n

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\u7814\u7a76\u4eba\u5458<\/span>\u7ed3\u5408\u8fde\u63a5\u7ec4\u5b66<\/span><\/strong>\uff08connectomics\uff09<\/span>\u548c\u50a8\u5c42\u8ba1\u7b97\uff0c\u7814\u7a76\u4eba\u8111\u7f51\u7edc\u4e2d\u7f51\u7edc\u7ec4\u7ec7\u3001\u52a8\u529b\u5b66\u548c\u8ba1\u7b97\u7279\u6027\u4e4b\u95f4\u7684\u8054\u7cfb<\/span><\/strong>\u3002\u9996\u5148\uff0c\u6784\u5efa\u795e\u7ecf\u5f62\u6001\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u3002\u7136\u540e\uff0c\u8bad\u7ec3\u8fd9\u4e9b\u8fde\u63a5\u7ec4\u4fe1\u606f\u5e93\u6765\u6267\u884c\u8bb0\u5fc6\u5bb9\u91cf<\/span>\uff08memory capacity) <\/span>\u4efb\u52a1\u3002<\/span><\/section>\n

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\u901a\u8fc7\u5c06\u5927\u8111\u8fde\u63a5\u7ec4\u5b66\u6574\u5408\u5230 ANN \u67b6\u6784\u7684\u6784\u5efa\u4e2d\uff0c\u7814\u7a76\u4eba\u5458\u5e0c\u671b\u4e86\u89e3\u5927\u8111\u7684\u8fde\u63a5\u5982\u4f55\u652f\u6301\u7279\u5b9a\u7684\u8ba4\u77e5\u6280\u80fd\uff0c\u5e76\u4e3a\u4eba\u5de5\u7f51\u7edc\u63a8\u5bfc\u51fa\u65b0\u7684\u8bbe\u8ba1\u539f\u5219\u3002<\/span><\/section>\n

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\u7814\u7a76\u4eba\u5458\u4f7f\u7528\u7ecf\u9a8c\u6d3e\u751f\u7684\u4eba\u8111\u8fde\u63a5\u6a21\u5f0f\u6765\u9650\u5236\u50a8\u5c42\u5185\u7684\u8fde\u63a5\u3002\u5bf9\u6269\u6563\u8c31\u78c1\u5171\u632f\u6210\u50cf <\/span>\uff08MRI\uff09<\/span>\u6570\u636e<\/span>\uff08n=66 \u540d\u53c2\u4e0e\u8005\uff09<\/span>\u5e94\u7528\u786e\u5b9a\u6027\u6d41\u7ebf\u675f\u6210\u50cf\u6765\u91cd\u5efa\u4e2a\u4f53\u9ad8\u5206\u8fa8\u7387\u4eba\u7c7b\u8fde\u63a5\u7ec4<\/span>\uff081,015 \u8282\u70b9\uff1b1,000 \u4e2a\u76ae\u8d28\u533a\u57df\u548c 15 \u4e2a\u76ae\u8d28\u4e0b\u533a\u57df\uff09<\/span>\u3002\u751f\u6210\u4fdd\u7559\u4e2a\u4f53\u53c2\u4e0e\u8005\u7f51\u7edc\u62d3\u6251\u7279\u5f81\u7684\u7fa4\u4f53\u5171\u8bc6\u7f51\u7edc\uff0c\u4ee5\u51cf\u5c11\u8bef\u62a5\u548c\u6f0f\u62a5\u7684\u5f71\u54cd\u3002<\/span><\/section>\n

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MRI \u6570\u636e\u6765\u6e90\uff1ahttps:\/\/doi.org\/10.5281\/zenodo.2872624<\/span><\/section>\n

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\u8bba\u6587\u901a\u8baf\u4f5c\u8005 Bratislav Misic \u8868\u793a\uff1a\u300c<\/span>\u8fd9\u662f\u4e00\u79cd\u72ec\u7279\u7684\u65b9\u6cd5\uff0c\u4f53\u73b0\u5728\u4e24\u4e2a\u65b9\u9762\u3002\u4e4b\u524d\u5173\u4e8e\u5927\u8111\u8fde\u901a\u6027<\/span><\/strong>\uff08\u4e5f\u79f0\u4e3a\u8fde\u63a5\u7ec4\u5b66\uff09<\/span>\u7684\u5de5\u4f5c\u4fa7\u91cd\u4e8e\u63cf\u8ff0\u5927\u8111\u7ec4\u7ec7\uff0c\u800c\u6ca1\u6709\u7814\u7a76\u5b83\u5b9e\u9645\u5982\u4f55\u6267\u884c\u8ba1\u7b97\u548c\u529f\u80fd\u3002\u5176\u6b21\uff0c\u4f20\u7edf\u7684 ANN \u5177\u6709\u4efb\u610f\u7ed3\u6784\uff0c\u4e0d\u80fd\u53cd\u6620\u771f\u5b9e\u5927\u8111\u7f51\u7edc\u7684\u7ec4\u7ec7\u65b9\u5f0f\u3002<\/span><\/strong>\u300d<\/span><\/section>\n

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4. \u7f51\u7edc\u62d3\u6251\u3001\u52a8\u6001\u548c\u8bb0\u5fc6\u5bb9\u91cf\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528<\/strong><\/strong><\/p>\n<\/section>\n

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\u5c06\u8bb0\u5fc6\u5bb9\u91cf\u4e0e\u8de8\u8d8a\u4e09\u4e2a\u52a8\u6001\u673a\u5236\u7684\u8fde\u63a5\u7ec4\u56fe\u7684\u591a\u4e2a<\/span>\uff08\u5c40\u90e8\u548c\u5168\u5c40\u7ea7\u522b\uff09<\/span>\u5c5e\u6027\u76f8\u5173\u8054\u3002\u6240\u6709\u56fe\u5f62\u5c5e\u6027\u90fd\u662f\u4f7f\u7528\u52a0\u6743\u7ed3\u6784\u8fde\u63a5\u7f51\u7edc\u8ba1\u7b97\u3002<\/span><\/section>\n

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\u5f97\u51fa\u4e09\u4e2a\u5173\u952e\u7ed3\u679c\uff1a<\/strong><\/span><\/section>\n
    \n
  1. \n
    \u56fe\u5c5e\u6027\u548c\u8bb0\u5fc6\u5bb9\u91cf\u4e4b\u95f4\u6709\u4e2d\u5ea6\u5230\u9ad8\u5ea6\u76f8\u5173\u6027\uff0c\u8fd9\u8868\u660e\u7f51\u7edc\u7ed3\u6784\u4f1a\u5f71\u54cd\u6027\u80fd\u3002<\/span><\/section>\n<\/li>\n
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    <\/section>\n
    \u300c\u8be5\u9879\u76ee\u7ed3\u5408\u4e86\u4e24\u4e2a\u5145\u6ee1\u6d3b\u529b\u548c\u5feb\u8282\u594f\u7684\u79d1\u5b66\u5b66\u79d1<\/strong>\u300d\u8be5\u8bba\u6587\u7684\u8d44\u6df1\u4f5c\u8005 Bratislav Misic \u8bf4\u3002\u300c\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u6709\u7740\u5171\u540c\u7684\u6839\u6e90\uff0c\u4f46\u6700\u8fd1\u53c8\u6709\u4e86\u5206\u6b67\u3002\u4f7f\u7528\u4eba\u5de5\u7f51\u7edc\u5c06\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u5927\u8111\u7ed3\u6784\u5982\u4f55\u652f\u6301\u5927\u8111\u529f\u80fd\u3002\u53cd\u8fc7\u6765\uff0c\u4f7f\u7528\u7ecf\u9a8c\u6570\u636e\u5236\u4f5c\u795e\u7ecf\u7f51\u7edc\u5c06\u63ed\u793a\u6784\u5efa\u66f4\u597d\u4eba\u5de5\u667a\u80fd\u7684\u8bbe\u8ba1\u539f\u5219\u3002<\/strong>\u56e0\u6b64\uff0c\u4e24\u8005\u5c06\u6709\u52a9\u4e8e\u76f8\u4e92\u4e86\u89e3\uff0c\u5e76\u4e30\u5bcc\u6211\u4eec\u5bf9\u5927\u8111\u7684\u7406\u89e3\u3002\u300d<\/span><\/section>\n

    <\/span><\/section>\n
    \u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/www.nature.com\/articles\/s42256-021-00376-1<\/span><\/section>\n

    <\/span><\/section>\n
    \u53c2\u8003\u5185\u5bb9\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/www.eurekalert.org\/news-releases\/924650<\/span><\/section>\n
    https:\/\/techxplore.com\/news\/2021-08-artificial-neural-networks-real-brains.html<\/span><\/section>\n

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

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    \u590d\u6742\u79d1\u5b66\u6700\u65b0\u8bba\u6587<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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

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