{"id":39808,"date":"2023-01-13T23:36:47","date_gmt":"2023-01-13T15:36:47","guid":{"rendered":"https:\/\/swarma.org\/?p=39808"},"modified":"2023-01-13T23:36:47","modified_gmt":"2023-01-13T15:36:47","slug":"%e5%9c%86%e6%a1%8c%e8%ae%ba%e5%9d%9b%ef%bc%9a%e5%a4%a7%e8%84%91%e8%af%ad%e8%a8%80%e5%8a%a0%e5%b7%a5%e6%9c%ba%e5%88%b6%e4%b8%8e%e8%af%ad%e8%a8%80%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c-%e5%91%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=39808","title":{"rendered":"\u5706\u684c\u8bba\u575b\uff1a\u5927\u8111\u8bed\u8a00\u52a0\u5de5\u673a\u5236\u4e0e\u8bed\u8a00\u795e\u7ecf\u7f51\u7edc | \u5468\u65e5\u76f4\u64ad\u00b7NeuroAI\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
\n
\n
\n
\n

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

\n
\n
\n
\n
\n
\n

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

\u5bfc\u8bed<\/strong><\/p>\n<\/section>\n<\/section>\n

\n

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

\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f<\/span><\/strong><\/p>\n


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

\u672c\u7740\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8ba4\u77e5\u79d1\u5b66\u548c\u8111\u79d1\u5b66\u7b49\u4e0d\u540c\u9886\u57df\u7684\u5b66\u672f\u5de5\u4f5c\u8005\u7684\u4ea4\u6d41\u4e0e\u5408\u4f5c\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u67f3\u6600\u54f2\u3001\u5317\u4eac\u5927\u5b66\u9c8d\u5e73\u78ca\u548c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u5415\u67c4\u6c5f\u4e09\u4f4d\u7814\u7a76\u5458\u5171\u540c\u53d1\u8d77\u4e86\u300cNeuroAI\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u805a\u7126\u5728\u89c6\u89c9\u3001\u8bed\u8a00\u548c\u5b66\u4e60\u9886\u57df\u4e2d\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u76f8\u5173\u7814\u7a76\uff0c\u671f\u5f85\u80fd\u591f\u67b6\u8d77\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5408\u4f5c\u6865\u6881\uff0c\u6fc0\u53d1\u8de8\u5b66\u79d1\u7684\u5b66\u672f\u706b\u82b1\u3002<\/span><\/strong><\/p>\n


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

\u8bfb\u4e66\u4f1a\u7ebf\u4e0a\u8fdb\u884c\uff0c11\u670827\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u4e0b\u534819:00-16:00\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u8bfb\u4e66\u4f1a\u8be6\u60c5\u53ca\u53c2\u4e0e\u65b9\u5f0f\u89c1\u540e\u6587\u3002<\/span><\/strong><\/p>\n

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

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

<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u5206\u4eab\u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

\u5728\u5415\u67c4\u6c5f\u8001\u5e08\u4e3b\u6301\u7684\u8bed\u8a00\u667a\u80fd\u6a21\u5757\uff0c\u5148\u540e\u4e24\u6b21\u5206\u4eab\u4ece\u4e0d\u540c\u4fa7\u9762\u5206\u4eab\u4e86\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5bf9\u8bed\u8a00\u7ed3\u6784\u3001\u8bed\u4e49\u7684\u5b9a\u91cf\u8868\u5f81\u5bf9\u7406\u89e3\u5927\u8111\u8bed\u8a00\u795e\u7ecf\u673a\u5236\u7684\u5e2e\u52a9\u548c\u8bed\u8a00\u4e2d\u7684\u53e5\u6cd5\u548c\u8bed\u4e49\u77e5\u8bc6\u5728\u6df1\u5ea6\u5b66\u4e60\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u4f53\u73b0\u3002\u672c\u6b21\u5706\u684c\uff0c\u9080\u8bf7\u4e86\u4e0d\u540c\u5b66\u79d1\u80cc\u666f\u7684\u8bed\u8a00\u7814\u7a76\u5b66\u8005\u548c\u5de5\u4e1a\u4e2d\u7684\u5b9e\u8df5\u8005\uff0c\u4e00\u8d77\u6765\u8ba8\u8bba\u53d1\u5c55\u8bed\u8a00\u795e\u7ecf\u7f51\u7edc\u548c\u7814\u7a76\u5927\u8111\u8bed\u8a00\u52a0\u5de5\u673a\u5236\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4e8c\u8005\u662f\u5426\u53ef\u80fd\u4e92\u76f8\u4fc3\u8fdb\u3002<\/span><\/span><\/span><\/p>\n


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

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

\n
\n
\n
\n
\n

<\/section>\n

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

\u5206\u4eab\u5185\u5bb9\u5927\u7eb2<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

\u672c\u6b21\u5706\u684c\u62df\u4ece\u4ee5\u4e0b\u4e09\u4e2a\u65b9\u9762\u8fdb\u884c\u5c55\u5f00\uff1a<\/span><\/p>\n

1. chatgpt\u6709\u54ea\u4e9b\u548c\u2f08\u8111\u8bed\u2f94\u52a0\u2f2f\u76f8\u4f3c\u7684\u5730\u2f45\uff1f<\/span><\/p>\n

2. \u8bed\u2f94\u795e\u7ecf\u2f79\u7edc\u80fd\u5426\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u2f24\u8111\u5982\u4f55\u52a0\u2f2f\u8bed\u2f94\uff1f<\/span><\/p>\n

3. \u7406\u89e3\u2f24\u8111\u52a0\u2f2f\u8bed\u2f94\u5bf9\u2f83\u7136\u8bed\u2f94\u5904\u7406\u6709\u6ca1\u6709\u5e2e\u52a9\uff1f<\/span><\/section>\n

<\/section>\n

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

\n
\n
\n
\n
\n

<\/section>\n

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

\u5706\u684c\u5609\u5bbe<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n
<\/span><\/section>\n
\u4e3b\u6301\u4eba\uff1a\u5415\u67c4\u6c5f<\/span><\/strong><\/span><\/section>\n
<\/section>\n
2011\u5e74\u4e8e\u5927\u8fde\u7406\u5de5\u5927\u5b66\u83b7\u5f97\u5b66\u58eb\u5b66\u4f4d\uff0c2017\u5e74\u4e8e\u5317\u4eac\u5927\u5b66\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c2017\u5e74-2021\u5e74\u5728\u82f1\u56fd\u5251\u6865\u5927\u5b66\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\uff0c2021\u5e7411\u6708\u81f3\u4eca\u4efb\u660c\u5e73\u5b9e\u9a8c\u5ba4\u7814\u7a76\u5458\u3002<\/span><\/section>\n
\u76ee\u524d\u4e3b\u8981\u5f00\u5c55\u57fa\u4e8e\u591a\u6a21\u6001\u8111\u6210\u50cf\u6280\u672f\u7684\u795e\u7ecf\u89e3\u7801\u7814\u7a76\u5de5\u4f5c\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u5609\u5bbe\uff1a\u4e01\u9f10<\/span><\/strong><\/span><\/section>\n
<\/section>\n
\u6d59\u6c5f\u5927\u5b66\u672c\u79d1\uff0c\u9a6c\u91cc\u5170\u5927\u5b66\u535a\u58eb\uff0c\u7ebd\u7ea6\u5927\u5b66\u535a\u58eb\u540e\uff0c2015\u5e74\u81f3\u4eca\u5728\u6d59\u6c5f\u5927\u5b66\u4efb\u6559\u3002<\/span><\/section>\n
\u4e3b\u8981\u7814\u7a76\u8bed\u8a00\u548c\u5176\u5b83\u590d\u6742\u5e8f\u5217\u7684\u795e\u7ecf\u7f16\u7801\u673a\u5236\uff0c\u5c24\u5176\u662f\u8bed\u97f3\u542c\u89c9\u7279\u5f81\u7684\u7f16\u7801\u4ee5\u53ca\u8bed\u97f3\u5c42\u7ea7\u7ed3\u6784\u7684\u7f16\u7801\uff0c\u8fd1\u5e74\u6765\u4e5f\u5173\u6ce8\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/person.zju.edu.cn\/dingnai<\/span><\/section>\n

<\/section>\n
\u5609\u5bbe\uff1a\u6797\u6960<\/span><\/strong><\/span><\/section>\n
<\/span><\/section>\n
2005\u5e74\u4e8e\u5357\u5f00\u5927\u5b66\u53d6<\/span>\u5f97\u5b66\u58eb\u5b66\u4f4d\u3002<\/span>2012\u5e74\u4e8e\u5317\u4eac\u5e08\u8303\u5927\u5b66\u53d6\u5f97\u535a\u58eb\u5b66\u4f4d\u3002<\/span>2012\u5e74\u81f3\u4eca\u4efb\u804c\u4e8e\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240\u3002<\/span><\/section>\n
\u4e3b\u8981\u7814\u7a76\u8bed\u4e49\u4fe1\u606f\u5728\u4eba\u8111\u4e2d\u7684\u8868\u5f81\u548c\u52a0\u5de5\u673a\u5236\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttp:\/\/eyemind.psych.ac.cn\/LinN\/enlinn.html<\/span><\/section>\n

<\/section>\n
\u5609\u5bbe\uff1a<\/span>\u738b\u5c11\u6960<\/span><\/strong><\/span><\/section>\n
<\/span><\/strong><\/section>\n
2013\u5e74\u4e8e\u4e1c\u5317\u5927\u5b66\u83b7\u5f97\u5b66\u58eb\u5b66\u4f4d\uff0c2018\u5e74\u4e8e\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c\u540e\u7559\u6240\u5de5\u4f5c\u81f3\u4eca\u30022021\u5e74\u81f3\u4eca\u4e8e\u7ebd\u7ea6\u5927\u5b66\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\u3002<\/span><\/section>\n
\u76ee\u524d\u4e3b\u8981\u5f00\u5c55\u4eba\u548c\u673a\u5668\u7684\u8bed\u8a00\u7406\u89e3\u7814\u7a76\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/wangshaonan.github.io\/<\/span><\/section>\n

<\/section>\n
\u5609\u5bbe\uff1a\u674e\u5409\u661f<\/span><\/strong><\/span><\/section>\n
<\/span><\/strong><\/section>\n
2009\u5e74\u4e8e\u5317\u4eac\u5e08\u8303\u5927\u5b66\u83b7\u5f97\u5b66\u58eb\u5b66\u4f4d\uff0c2019\u5e74\u4e8e\u5eb7\u5948\u5c14\u5927\u5b66\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c2018\u5e74-2022\u5e74\u5728\u7ebd\u7ea6\u5927\u5b66\u963f\u5e03\u624e\u6bd4\u5206\u6821\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\uff0c2022\u5e7410\u6708\u81f3\u4eca\u4efb\u9999\u6e2f\u57ce\u5e02\u5927\u5b66\u52a9\u7406\u6559\u6388\u3002<\/span><\/section>\n
\u76ee\u524d\u4e3b\u8981\u5f00\u5c55\u6bd4\u8f83\u673a\u5668\u4e0e\u4eba\u8111\u548c\u52a8\u7269\u8111\u5904\u7406\u8bed\u8a00\u7684\u7814\u7a76\u5de5\u4f5c\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/jixing-li.github.io\/<\/span><\/section>\n
\u5b9e\u9a8c\u5ba4\u4e3b\u9875\uff1ahttps:\/\/compneurolinglab.github.io\/index.html<\/span><\/section>\n

<\/section>\n
\u5609\u5bbe\uff1a\u65b9\u5b87\u661f<\/span><\/strong><\/span><\/section>\n
<\/span><\/section>\n
2016\u5e74\u4e8e\u5317\u4eac\u5e08\u8303\u5927\u5b66\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c\u5e76\u4e8e2016-2018\u5e74\u5f00\u5c55\u535a\u58eb\u540e\u7814\u7a76\u30022018\u5e74\u81f32022\u5e74\u5728\u5251\u6865\u5927\u5b66\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\u3002\u73b0\u4e3aAkrivia Health, AI Lab\u7684\u9ad8\u7ea7AI\u79d1\u5b66\u5bb6\u3002<\/span><\/section>\n
\u76ee\u524d\u4e3b\u8981\u5f00\u5c55\u533b\u7597NLP\u7684\u6a21\u578b\u7814\u7a76\u548c\u5e94\u7528\u5f00\u53d1\u3002<\/span><\/section>\n

<\/section>\n

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

\n
\n
\n
\n
\n

<\/section>\n

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

\u76f4\u64ad\u4fe1\u606f<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

\u65f6\u95f4\uff1a<\/span><\/strong><\/p>\n

2023\u5e741\u670815\u65e5\uff08\u672c\u5468\u65e5\uff09\u665a\u4e0a19:00-21:00<\/span><\/span><\/section>\n

<\/section>\n
\u53c2\u4e0e\u65b9\u5f0f\uff1a<\/span><\/strong><\/section>\n
<\/mpvideosnap><\/section>\n
<\/section>\n

<\/section>\n
\u626b\u7801\u53c2\u4e0eNeuroAI\u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u6210\u4e3aNeuroAI\u793e\u533a\u7684\u79cd\u5b50\u7528\u6237\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u4e0e\u4f01\u4e1a\u5b9e\u8df5\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8NeuroAI\u793e\u533a\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

<\/section>\n


<\/p>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u4e3b\u8981\u6d89\u53ca\u5230\u7684\u53c2\u8003\u6587\u732e<\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n
 <\/span><\/section>\n
Heilbron, Micha, et al. “A hierarchy of linguistic predictions during natural language comprehension.” Proceedings of the National Academy of Sciences 119.32 (2022): e2201968119.<\/span><\/section>\n
Goldstein, Ariel, et al. “Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain.” bioRxiv (2022).<\/span><\/section>\n
Caucheteux, Charlotte, and Jean-R\u00e9mi King. “Brains and algorithms partially converge in natural language processing.” Communications biology 5.1 (2022): 1-10.<\/span><\/section>\n
Caucheteux, Charlotte, Alexandre Gramfort, and Jean-R\u00e9mi King. “Deep language algorithms predict semantic comprehension from brain activity.” Scientific Reports 12.1 (2022): 1-10.<\/span><\/section>\n
Goldstein, Ariel, et al. “Shared computational principles for language processing in humans and deep language models.” Nature neuroscience 25.3 (2022): 369-380.<\/span><\/section>\n
Schrimpf, Martin, et al. “The neural architecture of language: Integrative modeling converges on predictive processing.” Proceedings of the National Academy of Sciences 118.45 (2021): e2105646118.<\/span><\/section>\n
Lake, Brenden M., and Gregory L. Murphy. “Word meaning in minds and machines.” Psychological review (2021).<\/span><\/section>\n
<\/span><\/section>\n
<\/span><\/section>\n
\n
\n


<\/p>\n

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


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

\n
\n
\n
\n

NeuroAI\u8bfb\u4e66\u4f1a\u62db\u52df\u4e2d<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/section>\n
\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f<\/span><\/section>\n

<\/section>\n
\u672c\u7740\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8ba4\u77e5\u79d1\u5b66\u548c\u8111\u79d1\u5b66\u7b49\u4e0d\u540c\u9886\u57df\u7684\u5b66\u672f\u5de5\u4f5c\u8005\u7684\u4ea4\u6d41\u4e0e\u5408\u4f5c\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u67f3\u6600\u54f2\u3001\u5317\u4eac\u5927\u5b66\u9c8d\u5e73\u78ca\u548c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u5415\u67c4\u6c5f\u4e09\u4f4d\u7814\u7a76\u5458\u5171\u540c\u53d1\u8d77\u4e86\u300cNeuroAI\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u805a\u7126\u5728\u89c6\u89c9\u3001\u8bed\u8a00\u548c\u5b66\u4e60\u9886\u57df\u4e2d\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u76f8\u5173\u7814\u7a76\uff0c\u671f\u5f85\u80fd\u591f\u67b6\u8d77\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5408\u4f5c\u6865\u6881\uff0c\u6fc0\u53d1\u8de8\u5b66\u79d1\u7684\u5b66\u672f\u706b\u82b1\u3002<\/span><\/section>\n

<\/section>\n

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


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

\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

NeuroAI \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u63a2\u7d22\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u524d\u6cbf\u4ea4\u53c9\u9886\u57df<\/a><\/span><\/strong><\/p>\n<\/section>\n


<\/section>\n

<\/section>\n

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

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

\u5bfc\u8bed \u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f \u672c\u7740\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u3001\u8ba1…<\/p>\n","protected":false},"author":0,"featured_media":39799,"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\/39808"}],"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=39808"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/39808\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/39799"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=39808"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=39808"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=39808"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=39808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}