{"id":198714,"date":"2020-03-25T06:26:00","date_gmt":"2020-03-24T22:26:00","guid":{"rendered":"http:\/\/www.cailiaoniu.com\/?p=198714"},"modified":"2020-03-24T21:26:24","modified_gmt":"2020-03-24T13:26:24","slug":"%e4%b8%9c%e5%8c%97%e5%b8%88%e5%a4%a7nature-communications%ef%bc%9a%e5%9f%ba%e4%ba%8e%e5%bf%86%e9%98%bb%e5%99%a8%e5%ae%9e%e7%8e%b0%e5%b9%bf%e4%b9%89bcm%e5%ad%a6%e4%b9%a0%e8%a7%84%e5%88%99%e5%8f%8a","status":"publish","type":"post","link":"http:\/\/www.cailiaoniu.com\/?p=198714","title":{"rendered":"\u4e1c\u5317\u5e08\u5927Nature Communications\uff1a\u57fa\u4e8e\u5fc6\u963b\u5668\u5b9e\u73b0\u5e7f\u4e49BCM\u5b66\u4e60\u89c4\u5219\u53ca\u65f6\u7a7a\u5b66\u4e60\u529f\u80fd"},"content":{"rendered":"

\u3010\u7814\u7a76\u80cc\u666f\u3011<\/strong><\/p>\n

\u7c7b\u8111\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u5177\u6709\u9ad8\u80fd\u6548\u3001\u5e76\u884c\u6027\u3001\u5bb9\u9519\u6027\u4ee5\u53ca\u81ea\u4e3b\u8ba4\u77e5\u7b49\u4f18\u52bf\uff0c\u88ab\u89c6\u4e3a\u6700\u6709\u5e0c\u671b\u7a81\u7834\u201c\u51af\u00b7\u8bfa\u4f9d\u66fc\u74f6\u9888\u201d\u7684\u98a0\u8986\u6027\u6280\u672f\u3002\u5b9e\u73b0\u4eff\u751f\u5927\u8111\u7a81\u89e6\u7684\u81ea\u4e3b\u5b66\u4e60\u529f\u80fd\u662f\u53d1\u5c55\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u7684\u5173\u952e\u57fa\u7840\u3002\u5fc6\u963b\u5668\u4f5c\u4e3a\u4e00\u79cd\u65b0\u578b\u79bb\u5b50\u2014\u7535\u5b50\u8026\u5408\u5668\u4ef6\uff0c\u56e0\u5176\u7ed3\u6784\u3001\u529f\u80fd\u4e0e\u751f\u7269\u7a81\u89e6\u9ad8\u5ea6\u76f8\u4f3c\uff0c\u4e14\u517c\u5177\u4fe1\u606f\u5b58\u50a8\u4e0e\u5904\u7406\u529f\u80fd\uff0c\u662f\u6784\u5efa\u5b58\u7b97\u4e00\u4f53\u5316\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u7cfb\u7edf\u7684\u7406\u60f3\u65b9\u6848\u3002<\/p>\n

\u8109\u51b2\u523a\u6fc0\u9891\u7387\u4f9d\u8d56\u53ef\u5851\u6027\uff08Spiking-Rate-Dependent Plasticity, SRDP\uff09\u662f\u4e00\u79cd\u91cd\u8981\u7684\u751f\u7269\u7a81\u89e6\u8c03\u8282\u7279\u6027\uff0c\u5176\u5178\u578b\u4ee3\u8868\u662f\u795e\u7ecf\u79d1\u5b66\u5bb6Bienenstock\uff0cCooper\u53caMunro\u63d0\u51fa\u7684BCM\u5b66\u4e60\u89c4\u5219\uff0c\u5b83\u5177\u6709\u4f4e\u9891\u6291\u5236\u3001\u9ad8\u9891\u589e\u5f3a\u7684\u9608\u503c\u6ed1\u79fb\u6548\u5e94\u3002\u7279\u522b\u662f\uff0cBCM\u5b66\u4e60\u89c4\u5219\u80fd\u591f\u4e3a\u89c6\u89c9\u76ae\u5c42\u4e2d\u9ad8\u9636\u65f6\u7a7a\u8bc6\u522b\u529f\u80fd\u63d0\u4f9b\u7406\u8bba\u57fa\u7840\uff08\u5982\uff1a\u57fa\u4e8e\u9891\u7387\u7684\u65b9\u5411\u9009\u62e9\u6027\uff09\u3002\u4f46\u662f\uff0c\u76ee\u524d\u62a5\u9053\u7684\u5229\u7528\u5fc6\u963b\u5668\u5b9e\u73b0BCM\u5b66\u4e60\u89c4\u5219\u591a\u91c7\u7528\u5355\u4e00\u7684\u7a81\u89e6\u524d\u8109\u51b2\u523a\u6fc0\u65b9\u5f0f\uff0c\u4e00\u65b9\u9762\u4e0d\u80fd\u5b8c\u6574\u5730\u6a21\u62dfBCM\u5b66\u4e60\u66f2\u7ebf\uff0c\u53e6\u4e00\u65b9\u9762\u7531\u4e8e\u7f3a\u4e4f\u957f\u65f6\u53ef\u5851\u6027\u6548\u5e94\uff0c\u9650\u5236\u4e86\u5176\u5728\u89c6\u89c9\u65f6\u7a7a\u56fe\u50cf\u8bc6\u522b\u7b49\u9886\u57df\u7684\u5e94\u7528\u3002\u56e0\u6b64\uff0c\u5229\u7528\u5fc6\u963b\u5668\u51c6\u786e\u5b9e\u73b0\u57fa\u4e8e\u9891\u7387\u7684\u65f6\u7a7a\u7279\u5f02\u6027\u529f\u80fd\u662f\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u95ee\u9898\u3002<\/p>\n

\u3010\u6210\u679c\u7b80\u4ecb\u3011<\/strong><\/p>\n

\u8fd1\u671f\uff0c\u4e1c\u5317\u5e08\u8303\u5927\u5b66\u5218\u76ca\u6625\u6559\u6388\u3001\u5f90\u6d77\u9633\u6559\u6388\u8bfe\u9898\u7ec4\u4e0e\u610f\u5927\u5229\u7c73\u5170\u7406\u5de5\u5927\u5b66\u5408\u4f5c\uff0c\u5728Nature Communications<\/em>\u4e0a\u53d1\u8868\u9898\u4e3a\u201cToward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices\u201d\u7684\u7814\u7a76\u8bba\u6587\uff0c\u9996\u6b21\u62a5\u9053\u4e86\u5728\u5fc6\u963b\u5668\u4e0a\u5229\u7528\u4e09\u8109\u51b2\u65f6\u5e8f\u53ef\u5851\u6027\uff08Spiking-Timing-Dependent Plasticity, STDP\uff09\u6210\u529f\u6a21\u62df\u4e86\u5e7f\u4e49BCM\u5b66\u4e60\u89c4\u5219\uff0c\u8fdb\u4e00\u6b65\u901a\u8fc7\u8bbe\u8ba1\u5fc6\u963b\u5668\u53cc\u5c42\u795e\u7ecf\u524d\u9988\u7f51\u7edc\u5b9e\u73b0\u4e86\u5177\u6709\u9891\u7387\u7279\u6027\u7684\u65f6\u7a7a\u5b66\u4e60\u529f\u80fd\u3002<\/p>\n

\u7814\u7a76\u8005\u5236\u5907\u4e86\u57fa\u4e8ePt\/WO3-x<\/sub>\/W\u7ed3\u6784\u7684\u5fc6\u963b\u5668\uff0c\u5229\u7528\u5185\/\u5916\u7535\u573a\u534f\u540c\u4f5c\u7528\u8bf1\u5bfc\u4e9a\u7a33\u6001\u6c27\u79bb\u5b50\u7684\u5b9a\u5411\u79fb\u52a8\uff0c\u6539\u53d8\u4e86WOx<\/sub>\u754c\u9762\u8d39\u7c73\u80fd\u7ea7\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u8096\u7279\u57fa\u52bf\u5792\u548c\u754c\u9762\u7535\u963b\u7684\u8fde\u7eed\u8c03\u5236\uff0c\u83b7\u5f97\u4e86\u591a\u79cd\u57fa\u672c\u7a81\u89e6\u5b66\u4e60\u529f\u80fd\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u7814\u7a76\u8005\u901a\u8fc7\u6a21\u62df\u7a81\u89e6\u7684\u4e09\u8109\u51b2STDP\u5e76\u5c06\u5176\u5ef6\u4f38\u81f3BCM\u5b66\u4e60\u89c4\u5219\uff0c\u5f25\u8865\u4e86\u4f20\u7edf\u5fc6\u963b\u4f53\u7cfb\u4e2d\u201c\u589e\u5f3a\u6291\u5236\u6548\u5e94\u201d\u7684\u7f3a\u5931\uff0c\u518d\u73b0\u4e86\u5b8c\u6574\u7684BCM\u5b66\u4e60\u66f2\u7ebf\u3002\u901a\u8fc7\u8c03\u63a7\u5668\u4ef6\u5728\u4e0d\u540c\u7535\u5bfc\u521d\u59cb\u72b6\u6001\u4e0b\u7684\u79bb\u5b50\u52a8\u529b\u5b66\u8fc7\u7a0b\uff0c\u9ad8\u5ea6\u8fd8\u539f\u4e86BCM\u5b66\u4e60\u66f2\u7ebf\u7684\u201c\u9608\u503c\u6ed1\u79fb\u6548\u5e94\u201d\u3002\u6570\u503c\u8ba1\u7b97\u53d1\u73b0\uff0c\u5b9e\u9a8c\u66f2\u7ebf\u4e0e\u751f\u7269\u795e\u7ecf\u7cfb\u7edf\u7684\u4e09\u8109\u51b2BCM\u6570\u5b66\u6a21\u578b\u9ad8\u5ea6\u543b\u5408\u3002\u8fdb\u4e00\u6b65\uff0c\u4e3a\u4e86\u83b7\u5f97\u89c6\u89c9\u76ae\u5c42\u4e2d\u7684\u9ad8\u9636\u65f6\u7a7a\u6a21\u5f0f\u8bc6\u522b\u529f\u80fd\uff0c\u7814\u7a76\u8005\u8bbe\u8ba1\u4e86\u4e00\u79cd\u57fa\u4e8e\u5fc6\u963b\u5668\u7684\u53cc\u5c42\u795e\u7ecf\u524d\u9988\u7f51\u7edc\uff0c\u4ee581\u4e2a\u7a81\u89e6\u524d\u795e\u7ecf\u5143\u548c4\u4e2a\u7a81\u89e6\u540e\u795e\u7ecf\u5143\u5206\u522b\u4f5c\u4e3a\u8f93\u5165\u548c\u8f93\u51fa\u5c42\u3002\u8f93\u5165\u4fe1\u53f7\u4e3a\u5177\u6709\u9ad8\u9891\u548c\u4f4e\u9891\u7684\u56db\u79cd\u5b9a\u5411\u6a21\u5f0f\uff080\u00b0, 45\u00b0, 90\u00b0, 135\u00b0\uff09\uff0c\u540c\u65f6\u5c06BCM\u66f2\u7ebf\u4f5c\u4e3a\u8be5\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\u51c6\u5219\uff0c\u5728\u5fc6\u963b\u5668\u9635\u5217\u524d\u9988\u7f51\u7edc\u4e2d\u6210\u529f\u9a8c\u8bc1\u4e86\u57fa\u4e8e\u9891\u7387\u7684\u5b9a\u5411\u9009\u62e9\u6027\uff0c\u5c55\u73b0\u4e86\u5fc6\u963b\u5668\u7528\u4e8e\u65f6\u7a7a\u7279\u5f02\u6027\u5b66\u4e60\u7684\u6f5c\u5728\u80fd\u529b\u3002<\/p>\n

\u3010\u5168\u6587\u603b\u7ed3\u3011<\/strong><\/p>\n

\u672c\u6587\u57fa\u4e8e\u754c\u9762\u578b\u6c27\u5316\u7269\u5fc6\u963b\u5668\u5b9e\u73b0\u4e86\u4e09\u8109\u51b2STDP\u529f\u80fd\uff0c\u5e76\u5c06\u5176\u63a8\u5e7f\u81f3BCM\u5b66\u4e60\u89c4\u5219\uff0c\u6210\u529f\u5f25\u8865\u4e86\u4f20\u7edf\u5fc6\u963b\u4f53\u7cfb\u6240\u7f3a\u5931\u7684\u201c\u589e\u5f3a\u6291\u5236\u6548\u5e94\u201d\u3002\u901a\u8fc7\u6784\u7b51\u5fc6\u963b\u5668\u53cc\u5c42\u795e\u7ecf\u524d\u9988\u7f51\u7edc\uff0c\u5b9e\u73b0\u4e86\u5177\u6709\u9891\u7387\u7279\u6027\u7684\u65b9\u5411\u9009\u62e9\u6027\uff0c\u5c55\u73b0\u4e86\u5176\u65f6\u7a7a\u7279\u5f02\u6027\u5b66\u4e60\u7684\u80fd\u529b\u3002\u672c\u7814\u7a76\u4e0d\u4ec5\u4e3a\u5b8c\u6574\u6a21\u62dfBCM\u5b66\u4e60\u89c4\u5219\u63d0\u4f9b\u4e86\u65b0\u9014\u5f84\uff0c\u800c\u4e14\u4e3a\u5fc6\u963b\u5668\u672a\u6765\u5e94\u7528\u4e8e\u9ad8\u9636\u65f6\u7a7a\u5b66\u4e60\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\u3002<\/p>\n

\u3010\u56fe\u6587\u5bfc\u8bfb\u3011<\/strong><\/p>\n

\u56fe\u4e00<\/strong> \u57fa\u4e8e<\/strong>Pt\/WO3-x<\/sub>\/W<\/strong>\u4e8c\u9636\u5fc6\u963b\u5668\u7684\u4eba\u5de5\u795e\u7ecf\u7a81\u89e6\u3002<\/strong><\/p>\n

\"\"<\/p>\n

a) \u751f\u7269\u795e\u7ecf\u7a81\u89e6\u7684\u8109\u51b2\u5e8f\u5217\u793a\u610f\u56fe\u3002<\/p>\n

b) Pt\/WO3-x<\/sub>\/W\u5fc6\u963b\u5668\u9635\u5217\u7684\u626b\u63cf\u7535\u955c\u56fe\u4ee5\u53ca\u5668\u4ef6\u622a\u9762\u900f\u5c04\u7535\u955c\u56fe\u3002<\/p>\n

c) \u5668\u4ef6\u8fde\u7eedI-V\u626b\u63cf\u56fe\u3002<\/p>\n

d) \u5668\u4ef6\u8fde\u7eed\u6b63\u8d1f\u8109\u51b2\u6d4b\u8bd5\u56fe\u3002<\/p>\n

e) \u5668\u4ef6\u7535\u5bfc\u9a70\u8c6b\u8fc7\u7a0b\u56fe\u3002<\/p>\n

\u56fe\u4e8c<\/strong> \u57fa\u4e8e<\/strong>Pt\/WO3-x<\/sub>\/W<\/strong>\u5fc6\u963b\u5668\u6a21\u62df\u7a81\u89e6\u9891\u7387\u4f9d\u8d56\u7684\u81ea\u9002\u5e94\u529f\u80fd\u3002<\/strong><\/p>\n

\"\"<\/p>\n

a) \u5668\u4ef6\u6a21\u62df\u7a81\u89e6EPSC\u73b0\u8c61\u3002<\/p>\n

b) \u5668\u4ef6\u6a21\u62df\u7a81\u89e6PPF\u73b0\u8c61\u3002<\/p>\n

c) \u5668\u4ef6\u6a21\u62df\u7a81\u89e6\u7684\u9891\u7387\u4f9d\u8d56\u6027\u3002<\/p>\n

d) \u5668\u4ef6\u7535\u5bfc\u968f\u7a81\u89e6\u540e\u8109\u51b2\u5e8f\u5217\u7684\u53d8\u5316\u3002<\/p>\n

e) \u5668\u4ef6\u5728\u4e0d\u540c\u521d\u59cb\u6001\u4e0b\u7684\u201c\u9891\u7387\u9608\u503c\u6ed1\u79fb\u6548\u5e94\u201d\u3002<\/p>\n

f) \u751f\u7269\u7cfb\u7edf\u4e2d\u7684BCM\u66f2\u7ebf\u3002<\/p>\n

\u56fe\u4e09<\/strong> \u57fa\u4e8e<\/strong>Pt\/WO3-x<\/sub>\/W<\/strong>\u5fc6\u963b\u5668\u5b9e\u73b0\u4e09\u8109\u51b2<\/strong>STDP<\/strong>\u529f\u80fd\u53ca\u5e7f\u4e49<\/strong>BCM<\/strong>\u5b66\u4e60\u89c4\u5219\u3002<\/strong><\/p>\n

\"\"<\/p>\n

a) \u4e24\u79cd\u4e09\u8109\u51b2STDP\u4fe1\u53f7\u8bbe\u8ba1\u793a\u610f\u56fe\u3002<\/p>\n

b) \u5668\u4ef6\u5728\u4e0d\u540c\u521d\u59cb\u72b6\u6001\u4e0b\u6a21\u62df\u65f6\u95f4\u5bf9\u79f0\u7684\u4e09\u8109\u51b2STDP\u73b0\u8c61\u3002<\/p>\n

c) \u5668\u4ef6\u6a21\u62df\u65f6\u95f4\u4e0d\u5bf9\u79f0\u4e09\u8109\u51b2STDP\u73b0\u8c61\u3002<\/p>\n

d) \u5668\u4ef6\u5728\u201c1Pre-2Post\u201d\u4e09\u8109\u51b2STDP\u6846\u67b6\u4e0b\u7684\u7edf\u8ba1\u7ed3\u679c\u56fe\u3002<\/p>\n

e) \u5668\u4ef6\u518d\u201c2Pre-1Post\u201d\u4e09\u8109\u51b2STDP\u6846\u67b6\u4e0b\u7684\u7edf\u8ba1\u7ed3\u679c\u56fe\u3002<\/p>\n

f) \u5668\u4ef6\u7535\u5bfc\u5bf9\u7a81\u89e6\u524d\/\u540e\u9891\u7387\u7684\u4f9d\u8d56\u6027\u3002<\/p>\n

g) \u5668\u4ef6\u5728\u4e0d\u540c\u521d\u59cb\u6001\u4e0b\u5b9e\u73b0\u542b\u6709\u201c\u589e\u5f3a\u6291\u5236\u6548\u5e94\u201d\u7684\u5b8c\u6574BCM\u66f2\u7ebf\u53ca\u5176 \u201c\u9891\u7387\u9608\u503c\u6ed1\u79fb\u201d\u7279\u6027\u3002<\/p>\n

\u56fe\u56db<\/strong> \u57fa\u4e8e\u5e7f\u4e49<\/strong>BCM<\/strong>\u5b66\u4e60\u89c4\u5219\u6570\u5b66\u6a21\u62df\u57fa\u4e8e\u9891\u7387\u7684\u65b9\u5411\u9009\u62e9\u6027\u529f\u80fd\u3002<\/strong><\/p>\n

\"\"<\/p>\n

a) \u5668\u4ef6\u5b9e\u9a8c\u6570\u636e\u70b9\u4e0eBCM\u6a21\u578b\u6570\u503c\u8ba1\u7b97\u66f2\u7ebf\u7684\u62df\u5408\u3002<\/p>\n

b) \u57fa\u4e8e\u5fc6\u963b\u5668\u9635\u5217\u7684\u53cc\u5c42\u524d\u9988\u7f51\u7edc\u793a\u610f\u56fe\u3002<\/p>\n

c) \u7535\u5bfc\u968f\u5b66\u4e60\u8fed\u4ee3\u6b21\u6570\u5728\u56db\u4e2a\u7279\u5b9a\u65b9\u5411\u4e0b\u7684\u53d8\u5316\u3002<\/p>\n

d) \u4e0e\u56db\u79cd\u7279\u5b9a\u65b9\u5411\u5bf9\u5e94\u7684\u7a81\u89e6\u540e\u9891\u7387\u968f\u5b66\u4e60\u8fed\u4ee3\u6b21\u6570\u7684\u53d8\u5316\u3002<\/p>\n

e) \u5fc6\u963b\u5668\u9635\u5217\u5728\u56db\u79cd\u7279\u5b9a\u65b9\u5411\u4e0b\u7684\u7535\u5bfc\u8272\u5f69\u56fe\u3002<\/p>\n

\u6587\u732e\u94fe\u63a5\uff1a<\/strong>Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices. (Nat. Commun. 2020, 11:1510. DOI: 10.1038\/s41467-020-15158-3)<\/p>\n

\u3010\u8bfe\u9898\u7ec4\u4ecb\u7ecd\u3011<\/strong><\/p>\n

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