{"id":297,"date":"2022-07-17T22:24:14","date_gmt":"2022-07-17T14:24:14","guid":{"rendered":"https:\/\/www.corticalchip.com\/?p=297"},"modified":"2024-09-28T11:32:23","modified_gmt":"2024-09-28T03:32:23","slug":"%e4%bd%95%e7%a5%af%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b","status":"publish","type":"post","link":"https:\/\/www.corticalchip.com\/index.php\/2022\/07\/17\/%e4%bd%95%e7%a5%af%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b\/","title":{"rendered":"\u4f55\u796f\u4e2a\u4eba\u7b80\u4ecb"},"content":{"rendered":"\n

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\u00a0 \u00a0\u00a0 \u00a0\u4f55\u796f\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u4e8e\u91cd\u5e86\u5927\u5b66\u96c6\u6210\u7535\u8def\u8bbe\u8ba1\u4e0e\u96c6\u6210\u7cfb\u7edf\u4e13\u4e1a\uff0c\u5e76\u83b7\u5f97\u5b66\u58eb\u5b66\u4f4d\u30022022\u5e749\u6708\u5165\u5b66\u6e05\u534e\u5927\u5b66\u96c6\u6210\u7535\u8def\u5b66\u9662\uff0c\u63a8\u8350\u514d\u8bd5\u76f4\u63a5\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\u30022020\u5e749\u6708\u81f32022\u5e744\u6708\u4e8e\u91cd\u5e86\u5927\u5b66\u7c7b\u8111\u82af\u7247\u8bbe\u8ba1\u8bfe\u9898\u7ec4\u53c2\u4e0e\u79d1\u7814\uff0c\u4e3b\u8981\u4ece\u4e8b\u9762\u5411\u7269\u7aef\u7684\u7c7b\u8111\u667a\u80fd\u7b97\u6cd5\u3001AI\u82af\u7247\u67b6\u6784\u53ca\u6570\u5b57\u7535\u8def\u8bbe\u8ba1\u7684\u7814\u7a76\uff0c\u4e3b\u6301\u5927\u5b66\u751fSRTP\u9879\u76ee1\u9879\uff0c\u53c2\u4e0e\u56fd\u5bb6\u7ea7\u3001\u7701\u90e8\u7ea7\u4ee5\u53ca\u6821\u7ea7\u9879\u76ee4\u9879\uff0c\u5305\u62ec\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9879\u76ee\u3001\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee\u4ee5\u53ca\u91cd\u5e86\u5e02\u91cd\u70b9\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee\u7b49\u3002\u672c\u79d1\u9636\u6bb5\u4ee5\u7b2c\u4e00\u5728\u96c6\u6210\u7535\u8def\u8bbe\u8ba1\u9886\u57df\u9ad8\u6c34\u5e73\u671f\u520aI<\/em><\/strong>EEE Transactions on Circuits and Systems II: Express Briefs<\/strong><\/em>\u00a0\u53d1\u8868\u8bba\u65871\u7bc7\uff0c\u7b2c\u4e8c\u4f5c\u8005\u8eab\u4efd\u5728\u96c6\u6210\u7535\u8def\u8bbe\u8ba1\u9886\u57df\u9876\u7ea7\u671f\u520aIEEE Transactions on Biomedical Circuits and Systems<\/em><\/strong>\u00a0\u53d1\u8868\u8bba\u65871\u7bc7\uff0c\u5e76\u53c2\u4e0e\u7533\u8bf7\u53d1\u660e\u4e13\u52291\u9879\u3002\u672c\u79d1\u5728\u6821\u671f\u95f4\uff0c\u66fe\u591a\u6b21\u83b7\u5f97\u5404\u7c7b\u5956\u5b66\u91d1\u53ca\u8363\u8a89\u79f0\u53f7\uff0c\u5176\u4e2d\u5305\u62ec\u56fd\u5bb6\u5956\u5b66\u91d1\u3001\u91cd\u5e86\u5927\u5b66\u4f18\u79c0\u5b66\u751f\u7b49\u3002<\/p>\n\n\n\n

\u8bba\u6587\u53d1\u8868<\/strong><\/p>\n\n\n\n

    \n
  1. TripleBrain: A Compact Neuromorphic Hardware Core with Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity<\/a>
        Haibing Wang, Zhen He<\/strong>, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi. IEEE Transactions on Biomedical Circuits and Systems<\/em><\/strong>. 2022, 16(4), 636-650.\uff08SCI\uff0c2\u533a\uff09<\/strong>

    <\/li>\n\n\n\n
  2. A Low-cost FPGA Implementation of Spiking Extreme Learning Machine With On-chip Reward-Modulated STDP Learning<\/a>
        Zhen He<\/strong>, Cong Shi*, Tengxiao Wang, Ying Wang, Min Tian, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Gang Luo. IEEE Transactions on Circuits and Systems II: Express Briefs<\/em><\/strong>: 2022, 69(3), 1657-1661.\uff08SCI\uff0c2\u533a\uff09<\/strong>

    <\/li>\n\n\n\n
  3. TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning<\/a>
         Haibing Wang, Zhen He<\/strong>, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>: 2021, 88-89.<\/li>\n<\/ol>\n\n\n\n

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

    \u53d1\u660e\u4e13\u5229<\/strong><\/p>\n\n\n\n

      \n
    1. \u57fa\u4e8e\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u8f7b\u91cf\u7ea7\u7247\u4e0a\u5b66\u4e60\u65b9\u6cd5\u3001\u7cfb\u7edf\u53ca\u5904\u7406\u5668.
      \u738b\u6d77\u51b0, \u77f3\u5306*, \u7530\u654f, \u738b\u817e\u9704, \u4f55\u4fca\u8d24, \u4f55\u796f<\/strong>. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN114091663A\uff0c2022-2-25<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

          & […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-297","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/297","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/comments?post=297"}],"version-history":[{"count":21,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/297\/revisions"}],"predecessor-version":[{"id":1990,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/297\/revisions\/1990"}],"wp:attachment":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/media?parent=297"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/categories?post=297"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/tags?post=297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}