{"id":219,"date":"2022-07-17T00:18:20","date_gmt":"2022-07-16T16:18:20","guid":{"rendered":"https:\/\/www.corticalchip.com\/?p=219"},"modified":"2024-01-31T11:02:38","modified_gmt":"2024-01-31T03:02:38","slug":"%e5%8d%a2%e9%9d%96%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\/%e5%8d%a2%e9%9d%96%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b\/","title":{"rendered":"\u5362\u9756\u4e2a\u4eba\u7b80\u4ecb"},"content":{"rendered":"\n<p class=\"has-black-color has-text-color\">&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"225\" class=\"wp-image-224\" style=\"width: 150px;\" src=\"http:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-scaled.jpg\" alt=\"\" srcset=\"https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-scaled.jpg 1707w, https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-200x300.jpg 200w, https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-683x1024.jpg 683w, https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-768x1152.jpg 768w, https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-1024x1536.jpg 1024w, https:\/\/www.corticalchip.com\/wp-content\/uploads\/2022\/07\/\u5fae\u4fe1\u56fe\u7247_20220717001523-1365x2048.jpg 1365w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><br>&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  &nbsp; &nbsp;&nbsp; &nbsp;\u4e2a\u4eba\u90ae\u7bb1\uff1ajinglu@cqu.edu.cn<\/p>\n\n\n\n<p class=\"has-black-color has-text-color\"> &nbsp; &nbsp;&nbsp; &nbsp;\u5362\u9756\uff0c2020\u5e746\u6708\u6bd5\u4e1a\u4e8e\u91cd\u5e86\u5927\u5b66\u7269\u7406\u5b66\u9662\uff0c\u83b7\u5b66\u58eb\u5b66\u4f4d\u30022023\u5e746\u6708\u6bd5\u4e1a\u4e8e\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\uff0c\u83b7\u7855\u58eb\u5b66\u4f4d\u3002\u7855\u58eb\u5728\u8bfb\u671f\u95f4\uff0c\u53c2\u4e0e\u591a\u9879\u7814\u7a76\u8bfe\u9898\uff0c\u5728\u7535\u8def\u4e0e\u7cfb\u7edf\u9886\u57df\u56fd\u9645\u77e5\u540d\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u65873\u7bc7\uff0c\u516c\u5f00\u53d1\u660e\u4e13\u52292\u9879\u3002\u8363\u83b72022\u5e74\u91cd\u5e86\u5927\u5b66\u4f18\u79c0\u5b66\u751f\u3002\u83b7\u5f972022\u5e74\u201c\u534e\u4e3a\u676f\u201d\u7b2c\u4e94\u5c4a\u4e2d\u56fd\u7814\u7a76\u751f\u521b\u201c\u82af\u201d\u5927\u8d5b\u51b3\u8d5b\u5168\u56fd\u4e09\u7b49\u5956\u30012022\u5e74\u201c \u5146\u6613\u521b\u65b0\u676f\u201d\u7b2c\u5341\u4e03\u5c4a\u4e2d\u56fd\u7814\u7a76\u751f\u7535\u5b50\u8bbe\u8ba1\u7ade\u8d5b\u897f\u5357\u8d5b\u533a\u4e00\u7b49\u5956\u30012022\u5e74\u7b2c\u516b\u5c4a\u4e2d\u56fd\u56fd\u9645\u201c\u4e92\u8054\u7f51+\u201d\u5927\u5b66\u751f\u521b\u65b0\u521b\u4e1a\u5927\u8d5b\u91cd\u5e86\u8d5b\u533a\u91d1\u5956\u30022022\u5e747-9\u6708\u63a8\u8350\u8d74\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8\u5b9e\u4e60\uff0c\u5c97\u4f4d\u4e3a\u6570\u5b57\u96c6\u6210\u7535\u8def\u8bbe\u8ba1\u5de5\u7a0b\u5e08\u30022023\u5e747\u6708\u5165\u804c\u98de\u817e\u4fe1\u606f\u6280\u672f\u6709\u9650\u516c\u53f8\uff08\u6210\u90fd\u5b50\u516c\u53f8\uff09\uff0c\u62c5\u4efb\u6570\u5b57\u540e\u7aef\u8bbe\u8ba1\u5de5\u7a0b\u5e08\u3002<\/p>\n\n\n\n<p class=\"has-black-color has-text-color\"><strong>\u53d1\u8868\u8bba\u6587<\/strong><\/p>\n\n\n\n<ol class=\"has-black-color has-text-color wp-block-list\">\n<li><mark style=\"background-color:rgba(0, 0, 0, 0);color:#545ff0\" class=\"has-inline-color\"><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10252054\" data-type=\"link\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10252054\" target=\"_blank\" rel=\"noreferrer noopener\">An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips<\/a><\/mark><br>\u00a0 \u00a0 \u00a0Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, <strong>Jing Lu<\/strong>, Liyuan Liu, Nanjian Wu, Min Tian*.\u00a0<strong><em>IEEE Transactions on Circuits and Systems I: Regular Papers<\/em><\/strong>: 2023, 70(11), 4249-4259.<strong>\uff08SCI\uff0c1\u533a\uff09<\/strong><br><br><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-blue-color\"><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10090359\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/10090359\" target=\"_blank\" rel=\"noreferrer noopener\">An 8-T Processing-in-Memory SRAM Cell-Based<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-blue-color\"> <\/mark>Pixel-Parallel Array Processor for Vision Chips<\/a><\/mark><br>\u00a0 \u00a0 \u00a0Leyi Chen, Junxian He, Jianyi Yu, Haibing Wang, <strong>Jing Lu<\/strong>, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian*.\u00a0<em><strong>IEEE Asia Pacific Conference on Circuits and Systems<\/strong><\/em><strong><em> (APCCAS)<\/em><\/strong>: 2022, 1-5.<strong>(Best Paper Award)<\/strong><br><br><\/li>\n\n\n\n<li><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-blue-color\"><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9937639\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9937639\" target=\"_blank\" rel=\"noreferrer noopener\">A Lightweight Spiking GAN Model for Memristor-Centric Silicon Circuit with On-Chip Reinforcement Adversarial Learning<\/a><\/mark><br>\u00a0 \u00a0\u00a0Min Tian, <strong>Jing Lu*<\/strong>, Haoran Gao, Haibing Wang, Jianyi Yu,\u00a0Cong Shi.\u00a0<em><strong>IEEE International Symposium on Circuits &amp; Systems (ISCAS)<\/strong><\/em>: 2022, 3388-3392.<br><br><\/li>\n\n\n\n<li><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9458542\/\" target=\"_blank\">Exploiting Memristors for Neuromorphic Reinforcement Learning<\/a><br>&nbsp; &nbsp; &nbsp;Cong Shi, <strong>Jing Lu<\/strong>, Ying Wang, Ping Li, Min Tian*.&nbsp;<strong><em><strong>IEEE International Conference on Artificial Intelligence Circuits &amp; Systems (AICAS)<\/strong><\/em><\/strong>: 2021: 2021, 1-4.<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-black-color has-text-color\"><strong>\u53d1\u660e\u4e13\u5229<\/strong><\/p>\n\n\n\n<ol class=\"has-black-color has-text-color wp-block-list\">\n<li>\u8f7b\u91cf\u7ea7\u7247\u4e0a\u5b66\u4e60FPGA\u786c\u4ef6\u67b6\u6784\u53ca\u5176\u8bbe\u8ba1\u65b9\u6cd5.<br>\u77f3\u5306*, \u5f20\u9756\u96c5, \u7530\u654f, \u738b\u817e\u9704, \u738b\u6d77\u51b0, \u4f55\u4fca\u8d24, <strong>\u5362\u9756<\/strong>, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN115115039A\uff0c2022-09-27<br><br><\/li>\n\n\n\n<li>\u57fa\u4e8e\u5fc6\u963b\u5668\u7684\u53ef\u7247\u4e0a\u5f3a\u5316\u5b66\u4e60\u8109\u51b2GAN\u6a21\u578b\u53ca\u8bbe\u8ba1\u65b9\u6cd5.&nbsp;<br>\u77f3\u5306*,&nbsp;<strong>\u5362\u9756<\/strong>,&nbsp;\u7530\u654f,&nbsp;\u738b\u6d77\u51b0,&nbsp;\u55bb\u5251\u4f9d,&nbsp;\u4f55\u4fca\u8d24,&nbsp;\u738b\u817e\u9704,&nbsp;\u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN114943329A\uff0c2022-08-25<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; 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