{"id":50533,"date":"2024-05-24T20:45:32","date_gmt":"2024-05-24T12:45:32","guid":{"rendered":"https:\/\/swarma.org\/?p=50533"},"modified":"2024-05-24T20:45:32","modified_gmt":"2024-05-24T12:45:32","slug":"%e7%aa%81%e8%a7%a6%e5%8a%a8%e5%8a%9b%e5%ad%a6%e5%a6%82%e4%bd%95%e5%90%af%e5%8f%91%e5%af%b9%e5%a4%a7%e8%84%91%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e7%9a%84%e8%ae%a4%e8%af%86%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50533","title":{"rendered":"\u7a81\u89e6\u52a8\u529b\u5b66\u5982\u4f55\u542f\u53d1\u5bf9\u5927\u8111\u795e\u7ecf\u7f51\u7edc\u7684\u8ba4\u8bc6\uff1f"},"content":{"rendered":"
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\u795e\u7ecf\u9012\u8d28\u91cc\uff0c\u8c37\u6c28\u9178<\/span>\uff08glutamate\uff09<\/span>\u662f\u5174\u594b\u6027\u7684\uff0c\u5bf9\u5e94\u53d7\u4f53\u662fAMPA\u548cNMDA\uff0c\u53ef\u4ee5\u5f15\u8d77\u94a0\u79bb\u5b50\u8fdb\u5165\u7ec6\u80de\u5f15\u8d77\u53bb\u6781\u5316\u3002\u53e6\u5916\u4e00\u4e2a\u4e3b\u8981\u7684\u795e\u7ecf\u9012\u8d28\u662fGABA\u53d7\u4f53\uff0c\u91ca\u653e\u5b83\u7684\u7ec6\u80de\u901a\u5e38\u79f0\u4e3a\u6291\u5236\u6027\u7ec6\u80de\uff0c\u56e0\u4e3a\u5b83\u4f1a\u6253\u5f00\u6291\u5236\u6027\u53d7\u4f53\u8ba9\u6c2f\u79bb\u5b50\u8fdb\u5165\u7ec6\u80de\uff0c\u628a\u7ec6\u80de\u7684\u7535\u4f4d\u538b\u5f97\u66f4\u4f4e\uff0c\u8ba9\u5b83\u6bd4\u8f83\u96be\u53bb\u6fc0\u53d1\u3002<\/span><\/section>\n

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\u4e0b\u56fe\u662f\u7a81\u89e6\u7684Tsodyks-Markram\u6a21\u578b\uff0c\u4e0b\u9762\u56fe\u4e2d\u6846\u8d77\u6765\u76846\u4e2a\u9879\u52a0\u8d77\u6765\u5c31\u662f0\u3002\u5982\u679c\u6211\u4eec\u628a\u524d\u4e09\u4e2a\u5fae\u5206\u65b9\u7a0b\u52a0\u8d77\u6765\u4e5f\u662f0\uff0c\u4ee3\u8868x0\u52a0x1\u52a0x2\u662f\u4e00\u4e2a\u5e38\u6570\u3002\u6240\u4ee5\u8fd9\u91cc\u5047\u8bbe\u795e\u7ecf\u9012\u8d28\u7684\u603b\u6570\u91cf\u662f\u4e00\u4e2a\u5e38\u6570\u3002<\/span><\/section>\n

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\u7a81\u89e6\u7684Tsodyks-Markram\u6a21\u578b<\/span><\/p>\n


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Neural Networks with Dynamic Synapses. Misha Tsodyks, Klaus Pawelzik, Henry Markram. Neural Computation (1998).<\/section>\n<\/section>\n<\/blockquote>\n

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\u795e\u7ecf\u79d1\u5b66\u6559\u79d1\u4e66\u91cc\u9762\u4e00\u4e2a\u6bd4\u8f83\u8457\u540d\u7684\u5b9e\u9a8c\uff0c\u7334\u5b50\u88ab\u8bad\u7ec3\u5728\u684c\u5b50\u4e0a\u5bf9\u4e0d\u540c\u65b9\u5411\u505a\u53cd\u5e94\uff0c\u505a\u53cd\u5e94\u7684\u8fd0\u52a8\u76ae\u5c42<\/span>\uff08motor cortex\uff09<\/span>\u8981\u505a\u4e00\u4e9b\u7f16\u7801\u53bb\u8ba1\u5212\u5b83\u7684\u4e0b\u4e00\u4e2a\u52a8\u4f5c\u3002\u53d1\u73b0\u7ec6\u80de\u53d1\u653e\u7387\u548c\u8ba1\u5212\u7684\u65b9\u5411\u6709\u5173\u8054\uff0c\u662f\u4e00\u4e2a\u8c03\u8c10\u66f2\u7ebf\uff0c\u8bf4\u660e\u795e\u7ecf\u7ec6\u80de\u6709\u4e00\u4e2a\u7279\u5b9a\u65b9\u5411\u7684\u504f\u597d\u3002<\/span><\/section>\n

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\u5982\u4f55\u5efa\u6a21\u5462\uff0c\u5047\u8bbe\u6bcf\u4e2a\u7ec6\u80de\u6709\u81ea\u5df1\u7684\u504f\u597d\uff0c\u6211\u4eec\u628a\u7ec6\u80de\u6839\u636e\u504f\u597d\u653e\u5728\u73af\u91cc\u9762\u3002\u5174\u594b\u6027\u8fde\u63a5\u7528\u9ad8\u65af\u51fd\u6570\u7ed9\u51fa\uff0c\u8fd8\u5b9a\u4e49\u4e86\u6291\u5236\u6027\u7684\u8026\u5408\u548c\u795e\u7ecf\u5143\uff0c\u8fd9\u4e9b\u4e1c\u897f\u52a0\u8d77\u6765\u53ef\u4ee5\u652f\u6301\u4e00\u4e2a\u51f8\u5757\u89e3<\/span>\uff08bump solution\uff09<\/span>\u3002\u8fd9\u4e2a\u7f51\u7edc\u5c31\u662f\u6709\u4e86\u5e73\u79fb\u4e0d\u53d8\u7684\u5174\u594b\u6027\u8fde\u63a5\uff0c\u52a0\u4e0a\u4e00\u4e2a\u6291\u5236\u6027\u7684\u5076\u5408\uff0c\u518d\u52a0\u4e0a\u4e00\u4e9b\u5916\u90e8\u8fde\u63a5\uff0c\u7136\u540e\u5c31\u53ef\u4ee5\u652f\u6301\u8fd9\u4e2a\u51f8\u5757\u89e3\u3002<\/span><\/section>\n

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\u6211\u4eec\u518d\u770b\u8fde\u7eed\u5438\u5f15\u5b50\u7f51\u7edc\u7684\u52a8\u529b\u5b66\u3002\u9996\u5148\u6709\u4e2a\u53d8\u91cfu\uff0c\u6709\u4e24\u4e2a\u53c2\u6570x\u548ct\uff0cRelaxation \u9879\u8868\u793a\u8870\u51cf\uff0c\u8fd8\u6709\u6240\u6709\u6743\u91cd\u7684\u52a0\u548c\uff0c\u4ee5\u53ca\u5916\u90e8\u8f93\u5165\u3002<\/span><\/section>\n

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Computing with Continuous Attractors: Stability and Online Aspects. Si Wu, Shun-ichi Amari. Neural Computation<\/section>\n<\/section>\n<\/blockquote>\n

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Dynamics of neural networks with continuous attractors. CC Alan Fung, KY Michael Wong, Si Wu. Europhysics letters.<\/section>\n<\/section>\n<\/blockquote>\n

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\u5916\u90e8\u7684\u8f93\u5165\u53ef\u4ee5\u6709\u5f88\u591a\u4e0d\u540c\u7684\u53ef\u80fd\u6027\uff0c\u8fd9\u91cc\u7b80\u5316\u5206\u6790\u5916\u90e8\u51fd\u6570\u4e3a\u9ad8\u65af\u51fd\u6570\u3002\u7814\u7a76\u53d1\u73b0\u7ed9\u9ad8\u65af\u51fd\u6570\u8f93\u5165\u65f6\u8fde\u7eed\u5438\u5f15\u5b50\u4e00\u822c\u4e0d\u4f1a\u88ab\u7834\u574f\uff0c\u4f46\u662f\u5982\u679c\u5916\u90e8\u8f93\u5165\u51fd\u6570\u5728\u79fb\u52a8\uff0c\u8fde\u7eed\u5438\u5f15\u5b50\u7f51\u7edc\u600e\u4e48\u53cd\u5e94\uff1f<\/span><\/section>\n

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Z0\u662f\u5916\u90e8\u8f93\u5165\u7684\u4f4d\u7f6e\uff0c\u7eb5\u8f74\u662f\u4e0d\u540c\u8f93\u5165\u7684\u4f4d\u7f6e\uff0c\u6a2a\u8f74\u662f\u65f6\u95f4\u3002\u53d1\u73b0u\u4f1a\u6839\u636e\u5916\u90e8\u8f93\u5165\u79fb\u52a8\uff0c\u5e76\u4e14\u6709\u5ef6\u8fdf\u3002\u4f46\u662f\u5728\u5927\u8111\u4e2d\uff0c\u5982\u679c\u5ef6\u8fdf\u7d2f\u52a0\u4ee5\u540e\uff0c\u5f88\u53ef\u80fd\u5c31\u4e0d\u80fd\u505a\u5373\u65f6\u7684\u53cd\u5e94\u3002<\/span><\/section>\n

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\u7136\u540e\u6211\u4eec\u5148\u628a\u77ed\u671f\u7684\u7a81\u89e6\u52a8\u529b\u5b66\u653e\u8fdb\u53bb\uff0c\u77ed\u671f\u7a81\u89e6\u52a8\u529b\u5b66\u6709\u4e24\u4e2a\u90e8\u5206\uff0c\u4e00\u4e2a\u90e8\u5206\u662f\u77ed\u7a0b\u6291\u5236<\/span>\uff08short term depression\uff0cSTD\uff09<\/span>\uff0c\u53e6\u5916\u4e00\u4e2a\u5c31\u662f\u77ed\u7a0b\u589e\u5f3a <\/span>\uff08short term facilitation\uff0cSTF\uff09<\/span>\u3002\u73b0\u5728\u6211\u4eec\u518d\u628a\u8fd9\u4e2a\u77ed\u671f\u7684\u8870\u51cf\u653e\u8fdb\u8fd9\u4e2a\u65b9\u7a0b\u91cc\u9762\uff0c\u672c\u6765\u6ca1\u6709p\u8fd9<\/span>\u4e00\u9879\uff0cp\u6a21\u62df\u7a81\u89e6\u6291\u5236\u3002p\u8fd9\u4e2a\u51fd\u6570\u4f1a\u503e\u5411\u4e8e\u56de\u52301\u8fd9\u4e2a\u72b6\u6001\uff0c\u4f1a\u88ab\u795e\u7ecf\u6fc0\u53d1\u51cf\u5c0f\uff0c\u6240\u4ee5\u7ed3\u679c\u5c31\u662f\u5982\u679c\u8fd9\u4e2a\u795e\u7ecf\u7ec6\u80de\u88ab\u6fc0\u53d1\uff0cp\u4f1a\u4e0b\u964d\u3002\u800c\u5982\u679c\u795e\u7ecf\u7684\u6d3b\u52a8\u6ca1\u6709\u51cf\u5c11\uff0cp\u4f1a\u56de\u52301\u3002\u800c\u8fd9\u4e2a\u03c4_d\u8fd9\u4e2a\u6570\u5b57\u5b83\u7684\u610f\u4e49\u5c31\u8ddf\u795e\u7ecf\u9012\u8d28\u6062\u590d\u7684\u65f6\u95f4\u5dee\u4e0d\u591a\uff0c\u03b2\u548c\u91ca\u653e\u7684\u6982\u7387\u5dee\u4e0d\u591a\u3002\u8fd9\u4e2a\u6a21\u578b\u548c<\/span>Tsodyks-Markram\u6a21\u578b\u662f\u5dee\u4e0d\u591a\u7684\u3002<\/span><\/section>\n

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Delay compensation with dynamical synapses. Chi Fung, K Wong, Si Wu. Advances in Neural Information Processing Systems.<\/section>\n<\/section>\n<\/blockquote>\n

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\u6700\u540e\u6211\u4eec\u770b\u770b\u8fd9\u4e2a\u4e1c\u897f\u4f1a\u600e\u4e48\u5f71\u54cd\u8fde\u7eed\u5438\u5f15\u5b50\u7f51\u7edc\uff0c\u6211\u4eec\u53ea\u9700\u8981\u770b\u5b83\u7684\u52a8\u6001\u8ddf\u9759\u6001\u3002\u9759\u6001\uff0c\u6bd4\u65b9\u8bf4\u6211\u4eec\u73b0\u5728\u6709\u4e00\u4e2a\u795e\u7ecf\u7684\u6fc0\u53d1\uff0c\u4ed6\u4eec\u62e5\u6709\u7684\u53ef\u4ee5\u6fc0\u53d1\u7684\u795e\u7ecf\u9012\u8d28\u4f1a\u51cf\u5c11\u3002\u56e0\u4e3a\u795e\u7ecf\u9012\u8d28\u8fd8\u6765\u4e0d\u53ca\u6062\u590d\uff0c\u6240\u4ee5\u6211\u4eec\u770b\u5230\u8fd9\u91cc\u7684\u66f2\u7ebf\u4f1a\u6bd4\u8f83\u5c0f\u4e00\u70b9\u3002\u52a8\u6001\u7684\u5c31\u4e0d\u4e00\u6837\u4e86\uff0c\u56e0\u4e3a\u60f3\u8c61\u4e00\u4e0b\u5982\u679c\u8fd9\u4e1c\u897f\u5728\u8fd9\u91cc\u8dd1\uff0c\u5176\u5b9e\u662f\u53ef\u4ee5\u7528\u5230\u6bd4\u8f83\u65b0\u7684\u8fd8\u6ca1\u88ab\u5b8c\u5168\u6fc0\u53d1\u7684\u7ec6\u80de\uff0c\u6240\u4ee5\u8fd9\u91cc\u7684\u795e\u7ecf\u9012\u8d28\u4f1a\u591a\u4e00\u70b9\u3002\u4f46\u662f\u8fd9\u91cc\u597d\u50cf\u6709\u4e00\u4e2a\u5c3e\u5df4\uff0c\u56e0\u4e3a\u8fd9\u662f\u4ee5\u524d\u5728\u4e0a\u4e00\u4e2a\u77ac\u95f4\u795e\u7ecf\u7ec6\u80de\u6d3b\u8dc3\u7684\u533a\u57df\uff0c\u6240\u4ee5\u770b\u5230\u662f\u53d8\u6210\u4e0d\u5bf9\u79f0\u7684\u6837\u5b50\u3002\u5176\u5b9e\u8fd9\u662f\u8fde\u7eed\u652f\u6301\u7f51\u7edc\u7684\u52a8\u6001\uff0c\u6240\u4ee5\u6211\u4eec\u5982\u679c\u628a\u77ed\u671f\u7684\u8870\u51cf\u52a0\u4e0a\u8fde\u7eed\u5438\u5f15\u5b50\u7f51\u7edc\uff0c\u4f1a\u6709\u4e00\u79cd\u4e0d\u7a33\u5b9a\u6027\uff0c\u6211\u4eec\u53eb\u5b83\u5e73\u79fb\u4e0d\u7a33\u5b9a\u6027<\/span>\uff08translational instability\uff09<\/span>\u3002\u662f\u4e00\u4e2a\u5185\u5728\u7684\u52a8\u6001\uff0c\u539f\u56e0\u5c31\u662f\u795e\u7ecf\u9012\u8d28\u7684\u7f13\u6162\u6062\u590d\uff0c\u4f46\u662f\u8fd9\u4e2a\u4e1c\u897f\u600e\u4e48\u5f71\u54cd\u6211\u4eec\u5927\u8111\uff1f\u5176\u5b9e\u53ef\u4ee5\u7528\u6765\u505a\u5ef6\u8fdf\u7684\u8865\u507f\u3002<\/span><\/section>\n

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\u5728\u6ca1\u6709\u77ed\u671f\u6291\u5236\u7684\u65f6\u5019\uff0cu\u5728\u7f51\u7edc\u7684\u6001\u662f\u843d\u540e\u5916\u90e8\u523a\u6fc0\u7684\uff0c\u4f46\u662f\u5982\u679c\u6211\u4eec\u589e\u52a0\u03b2<\/span>\uff0c\u77ed\u671f\u6291\u5236\u529b\u5ea6\u7684\u65f6\u5019\uff0c\u53d1\u73b0\u5ef6\u8fdf\u51cf\u5c11\uff0c\u5982\u679c\u518d\u589e\u52a0\u591a\u4e00\u70b9\u70b9\u7684\u65f6\u5019\uff0c\u8fd9\u4e2a\u7f51\u7edc\u7684\u6001\u8dd1\u5230\u79fb\u52a8\u7684\u5916\u90e8\u523a\u6fc0\u7684\u672a\u6765\u4f4d\u7f6e\uff0c\u8fd9\u4e2a\u4e1c\u897f\u53eb\u5b83\u505a\u9884\u671f\u8ddf\u8e2a<\/span>\uff08anticipatory tracking\uff09<\/span>\uff0c\u662f\u62b5\u6d88\u5ef6\u8fdf\u7684\u4e00\u79cd\u53ef\u80fd\u7684\u65b9\u6848\u3002<\/span><\/section>\n

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Modeling Attractor Deformation in the Rodent Head-Direction System. Jeremy P. Goodridge and David S. Touretzky. Journal of Neurophysiology.<\/section>\n<\/section>\n<\/blockquote>\n

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\u90a3\u4e48\u77ed\u671f\u7684\u7a81\u89e6\u53ef\u5851\u6027\u548c\u957f\u671f\u7684\u7a81\u89e6\u53ef\u5851\u6027\u6709\u4ec0\u4e48\u8c03\u8282\u7684\u5173\u7cfb\u5462\uff1f\u8fd9\u6d89\u53ca\u5230\u4e4b\u524d\u7684\u4e00\u4e2a\u5de5\u4f5c\uff0c\u8ddf\u661f\u5f62\u80f6\u8d28\u7ec6\u80de\u6709\u5173\uff0c\u5b83\u662f\u7ec6\u80de\u65c1\u8fb9\u7684\u80f6\u8d28\u7ec6\u80de\uff0c\u4f46\u662f\u5b83\u7684\u5f62\u72b6\u662f\u661f\u5f62\u7684\u3002\u8fd9\u91cc\u6709\u4e2a\u76ae\u5c42\u7ec4\u7ec7\u7684\u5207\u7247\uff0c\u91cc\u9762\u5305\u542b\u661f\u5f62\u7ec6\u80de\u548c\u5176\u4ed6\u7684\u795e\u7ecf\u7ec6\u80de\u3002\u4f46\u4e0d\u662f\u76f4\u63a5\u6fc0\u53d1\u4e86CA1\u9525\u4f53\u7ec6\u80de\uff0c\u800c\u662f\u6fc0\u53d1\u53e6\u5916\u7684\u7ec6\u80de\uff0c\u518d\u95f4\u63a5\u6fc0\u53d1CA1\u9525\u4f53\u7ec6\u80de\u3002\u56e0\u4e3a\u60f3\u770b\u5982\u679c\u5f71\u54cd\u4e86\u661f\u5f62\u7ec6\u80de\u7684\u6d3b\u52a8\uff0c\u8fd9\u4e2a\u88ab\u6fc0\u53d1\u7684\u7ec6\u80de\u6709\u4ec0\u4e48\u5f71\u54cd\uff0c\u6240\u4ee5\u8fd9\u91cc\u5173\u6ce8\u7684\u662f\u4e00\u4e2a\u6bd4\u8f83\u65b0\u7684\u9886\u57df\uff0c\u5c31\u662f\u770b\u661f\u5f62\u80f6\u8d28\u7ec6\u80de\u4e0a\u9762 NMDA \u53d7\u4f53\u5bf9\u7a81\u89e6\u540e\u6216\u7a81\u89e6\u524d\u7684\u7ec6\u80de\u6709\u4ec0\u4e48\u5f71\u54cd\u3002\u6700\u4e3b\u8981\u7684\u65b9\u6cd5\u662f\u770b\u5b83\u7684\u4e24\u4e2a\u5c16\u5cf0\uff0c\u56e0\u4e3a\u4ed6\u4eec\u6bcf\u4e00\u6b21\u6fc0\u53d1\u90fd\u4f1a\u5728\u7a81\u89e6\u540e\u795e\u7ecf\u5143\u6709\u4e2a\u5c16\u5cf0\u3002\u800c\u8fd9\u4e24\u4e2a\u5cf0\u503c\u7684\u6bd4\u4f8b\u2014\u2014PPR\uff0c\u662f\u7528\u6765\u8861\u91cf\u795e\u7ecf\u5143\u7684\u77ed\u671f\u53ef\u5851\u6027\u6709\u4ec0\u4e48\u53d8\u5316\u3002<\/span><\/section>\n

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PPR\u662f\u7528\u8861\u91cf\u5b83\u7684\u77ed\u671f\u53ef\u5851\u6027\u6709\u591a\u5f3a\u7684\u6307\u6807\u3002\u6bd4\u65b9\u8bf4\u5728\u8fd9\u91cc\u770b\u5230\u7b2c\u4e00\u4e2a\u6fc0\u53d1\u8ddf\u7b2c\u4e8c\u4e2a\u6fc0\u53d1\u5176\u5b9e\u6709\u660e\u663e\u7684\u5dee\u522b\uff0c\u7b2c\u4e8c\u4e2a\u6fc0\u53d1\u6bd4\u8f83\u5f3a\u4e00\u70b9\uff0c\u6240\u4ee5\u8fd9\u4e24\u4e2a\u7ec6\u80de\u662f\u505a\u4e86\u77ed\u671f\u589e\u5f3a\u3002\u5982\u679c\u5728\u661f\u5f62\u80f6\u8d28\u7ec6\u80de\u4e0a\u518d\u52a0\u4e00\u4e9bNMDA\u53d7\u4f53\u7684\u963b\u65ad\u5c31\u53d1\u73b0PPR\u6bd4\u4f8b\u7684\u65b9\u5dee\u4f1a\u51cf\u5c0f\uff0c\u7528\u4e0d\u540c\u7684NMDA\u53d7\u4f53\u4e5f\u662f\u8fbe\u5230\u540c\u6837\u7684\u7ed3\u679c\u3002<\/span><\/section>\n

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\u5982\u679c\u6211\u4eec\u963b\u65adNMDA\u53d7\u4f53\uff0c\u5728\u7a81\u89e6\u524d\u5176\u5b9e\u4e5f\u89c2\u5bdf\u5230\u6fc0\u53d1\u6982\u7387\u7684\u53d8\u5316\u3002\u795e\u7ecf\u9012\u8d28\u7684\u91ca\u653e\u6982\u7387\u5176\u5b9e\u662f\u4e00\u4e2a\u4f3d\u739b\u5206\u5e03\uff0c\u6ca1\u6709\u88ab\u963b\u65ad\u60c5\u51b5\u4e0b\uff0c\u6fc0\u53d1\u6982\u7387\u66f4\u504f\u5411\u4e8e0\u4f46\u662f\u4f1a\u6bd4\u8f83\u957f\u5c3e\u4e00\u70b9\u3002\u4f46\u662f\u5982\u679cNMDA\u53d7\u4f53\u88ab\u963b\u65ad\uff0c\u6bd4\u8f83\u5c0f\u7684\u6fc0\u53d1\u6982\u7387\u4f1a\u4e0a\u5347\uff0c\u4f46\u662f\u6bd4\u8f83\u9ad8\u7684\u6fc0\u53d1\u6982\u7387\u4f1a\u51cf\u5c11\u5f88\u591a\u3002\u7b80\u5355\u6765\u8bf4\u5c31\u662f\u5e73\u5747\u6ca1\u6709\u5927\u7684\u6539\u53d8\uff0c\u4f46\u662f\u91ca\u653e\u6982\u7387\u4f1a\u6539\u53d8\u5f88\u591a\u3002<\/span><\/section>\n

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\u60f3\u8c61\u6211\u4eec\u73b0\u5728\u6709\u4e24\u4e2a\u7ec6\u80de\uff0c\u4e00\u4e2a\u7a81\u89e6\u524d\u4e00\u4e2a\u7a81\u89e6\u540e\u3002\u5982\u679c\u4ed6\u7684\u52a8\u4f5c\u7535\u4f4d\u7684\u65f6\u95f4\u6709\u4e00\u4e2a\u65f6\u95f4\u5dee\uff0c\u4ed6\u4eec\u4e4b\u95f4\u7684\u8026\u5408\u5c31\u4f1a\u6709\u4e00\u4e2a\u53d8\u5316\uff0c\u6211\u4eec\u53eb\u5b83\u7a81\u89e6\u6743\u91cd\uff0c\u7a81\u89e6\u6743\u91cd\u7684\u53d8\u5316\u662f\u57fa\u4e8e\u8fd9\u4e2a\u65f6\u95f4\u5dee\u5230\u5e95\u6709\u591a\u5927\uff0c\u6216\u8005\u662f\u6b63\u8fd8\u662f\u8d1f\u3002\u5982\u679c\u7a81\u89e6\u540e\u7684\u53d1\u653e\u665a\u4e8e\u7a81\u89e6\u524d\uff0c\u8fd9\u4e2a\u8fde\u63a5\u4f1a\u88ab\u589e\u5f3a\uff0c\u53cd\u8fc7\u6765\u5c31\u4f1a\u51cf\u5f31\u3002\u7531\u4e8e\u8fd9\u4e2a\u6539\u53d8\u7684\u65f6\u95f4\u6301\u7eed\u671f\u6bd4\u8f83\u957f\u4e00\u70b9\uff0c\u6240\u4ee5\u8fd9\u4e2a\u53d8\u5316\u4e5f\u79f0\u4e3a\u957f\u671f\u53ef\u5851\u6027\u3002<\/span><\/section>\n

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\u51cf\u5c11\u91ca\u653e\u6982\u7387\u7684\u53d8\u5316\u53ef\u4ee5\u8c03\u8282\u957f\u671f\u7a81\u89e6\u53ef\u5851\u6027\u3002\u53ef\u4ee5\u7528\u6570\u503c\u6a21\u62df\u505a\u51fa\u6765\uff0c\u6211\u4eec\u7528\u4e24\u4e2aLIF<\/span>\uff08leaky integrate and fire\uff09<\/span>\u6a21\u578b\uff0c\u6211\u4eec\u5148\u628a\u5b83\u6ce8\u5165\u4e00\u4e9b\u7b80\u5355\u7684\u7535\u6d41\u3002\u8fd8\u6709\u4e00\u4e2a\u65f6\u95f4\u5dee\uff0c\u8ba9\u7a81\u89e6\u524d\u7535\u6d41\u8db3\u591f\u5927\u53bb\u8ba9\u5b83\u6fc0\u53d1\uff0c\u4f46\u662f\u7a81\u89e6\u540e\u795e\u7ecf\u5143\u8f93\u5165\u7684\u7535\u6d41\u6709\u4e00\u4e2a\u4e0d\u540c\u7684\u5927\u5c0f\uff0c\u4e4b\u540e\u6211\u4eec\u7528\u8fd9\u4e2a\u5927\u5c0f\u6765\u5224\u65ad\u957f\u671f\u53ef\u5851\u6027\u7684\u654f\u611f\u7075\u654f\u5ea6\u3002\u6211\u4eec\u77e5\u9053\u5982\u679c\u7a81\u89e6\u524d\u795e\u7ecf\u5143\u88ab\u661f\u5f62\u80f6\u8d28\u7ec6\u80de\u5f71\u54cd\u7684\u8bdd\uff0c\u5b83\u7684\u91ca\u653e\u6982\u7387\u7684\u65b9\u5dee\u4f1a\u51cf\u5c0f\uff0c\u4ee5\u8fd9\u4e2a\u89c2\u5bdf\u4e3a\u6a21\u578b\u7684\u57fa\u7840\uff0c\u5728\u4e0d\u540c\u7684\u6fc0\u53d1\u65f6\u95f4\u5dee\uff0c\u8fd8\u6709\u4e0d\u540c\u7684\u7a81\u89e6\u540e\u795e\u7ecf\u5143\u7684\u7535\u6d41\u8f93\u5165\u3002\u53ef\u4ee5\u770b\u5230\u5982\u679c\u8fd9\u4e2a\u661f\u5f62\u7ec6\u80de\u7684NMDA\u53d7\u4f53\u88ab\u963b\u65ad\uff0c\u7a81\u89e6\u540e\u795e\u7ecf\u5143\u7684\u654f\u611f\u5ea6\u4f1a\u964d\u4f4e\uff0c\u56e0\u4e3a\u9700\u8981\u66f4\u5927\u7684\u7535\u6d41\u624d\u53ef\u4ee5\u6fc0\u53d1\u957f\u671f\u7a81\u89e6\u53ef\u5851\u6027\u3002<\/span><\/section>\n

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\u4f7f\u7528\u66f4\u73b0\u5b9e\u4e00\u70b9\u7684\u6cca\u677e\u5c16\u5cf0\u8f93\u5165\uff0c\u6a21\u62df\u91cc\u9762\u4e5f\u662f\u53d1\u73b0\u5e73\u5747\u6765\u8bf4\u661f\u5f62\u7ec6\u80de\u7684NMDA\u53d7\u4f53\u963b\u65ad\u53ef\u4ee5\u8c03\u63a7\u957f\u671f\u7a81\u89e6\u53ef\u5851\u6027\u7684\u80fd\u529b\u3002<\/span><\/section>\n

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\u6bd4\u8f83\u5c0f\u7684\u603b\u7ed3\uff1a\u5316\u5b66\u7a81\u89e6\u7684\u52a8\u529b\u5b66\u53ef\u4ee5\u91cd\u5851\u795e\u7ecf\u5143\u7cfb\u7edf\u7684\u884c\u4e3a\uff0c\u9996\u5148\u53ef\u4ee5\u7834\u574f\u8fde\u7eed\u5438\u5f15\u5b50\u7f51\u7edc\u5e73\u79fb\u7684\u7a33\u5b9a\u6027\uff0c\u53e6\u5916\u4f1a\u5f71\u54cd\u957f\u671f\u7a81\u89e6\u53ef\u5851\u6027\u3002<\/span><\/section>\n

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\u7a81\u89e6\u7ade\u4e89\u4e0e\u6a21\u5f0f\u5206\u79bb<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u6700\u540e\u8fd9\u4e2a\u662f\u6700\u8fd1\u7684\u7814\u7a76\uff0c\u7a81\u89e6\u95f4\u7684\u7ade\u4e89\u5230\u5e95\u6709\u4ec0\u4e48\u7528\u3002\u56e0\u4e3a\u5728\u4e00\u4e9b\u751f\u7269\u5b66\u7684\u8fc7\u7a0b\u4e2d\u7a81\u89e6\u5176\u5b9e\u5728\u7ade\u4e89\u3002\u5176\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u529f\u80fd\u5c31\u662f\u505a\u6a21\u5f0f\u5206\u79bb<\/span>\uff08pattern separation\uff09<\/span>\uff0c\u7a81\u89e6\u7684\u7ade\u4e89\u63d0\u9ad8\u4e86\u6a21\u5f0f\u5206\u79bb\u7684\u80fd\u529b\u3002\u6570\u636e\u79d1\u5b66\u91cc\u7ecf\u5e38\u770b\u5230\u4e0d\u540c\u7684\u6570\u636e\u5728\u7279\u5f81\u7a7a\u95f4\u91cc\u6709\u91cd\u53e0\uff0c\u5728\u6bd4\u8f83\u597d\u7684\u7279\u5f81\u7a7a\u95f4\u91cc\u53ef\u4ee5\u628a\u5b83\u4eec\u6e05\u6670\u7684\u5206\u5f00\u6765\uff0c\u8fd9\u662f\u4e00\u4e2a\u6a21\u5f0f\u5206\u79bb\u7684\u8fc7\u7a0b\uff0c\u7528\u7b80\u5355\u7684\u652f\u6301\u5411\u91cf\u673a\u5c31\u53ef\u4ee5\u5f88\u597d\u7684\u89e3\u51b3\u3002\u7136\u540e\u662f\u6210\u4f53\u7684\u795e\u7ecf\u751f\u6210\uff0c\u8fd9\u4e2a\u662f\u5f88\u5927\u4e89\u8bae\u7684\u95ee\u9898\uff0c\u5176\u5b9e\u6bcf\u4e00\u5e74\u90fd\u6709\u5f88\u591a\u4eba\u53d1\u4e0d\u540c\u6587\u7ae0\u5728\u4e89\u8bba\u5230\u5e95\u6709\u6ca1\u6709\u8fd9\u4e2a\u4e8b\u60c5\u3002<\/span><\/section>\n

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\u6bd4\u5982\u5728\u5185\u55c5\u76ae\u5c42\u662f\u4e0d\u662f\u771f\u7684\u6709\u795e\u7ecf\u7ec6\u80de\u751f\u6210\u5462\uff1f\u505a\u8fd0\u52a8\u7684\u65f6\u5019\uff0c\u6709\u4e9b\u65b0\u7ec6\u80de\u7684\u53cd\u5e94\u53ef\u4ee5\u89c2\u5bdf\u5230\u3002\u4e0d\u6210\u719f\u7684\u7ec6\u80de\u5728\u957f\u5f97\u5927\u4e00\u70b9\u7684\u65f6\u5019\u4ed6\u4f1a\u5c1d\u8bd5\u8fde\u63a5\u4e0d\u540c\u7684\u7ec6\u80de\u3002\u5f53\u6210\u719f\u7684\u65f6\u5019\uff0c\u8fde\u63a5\u5c31\u4f1a\u53d8\u5f97\u6bd4\u8f83\u7a33\u5b9a\uff0c\u6216\u8005\u662f\u6bd4\u8f83\u6709\u9009\u62e9\u7684\u8fde\u63a5\u3002\u6210\u719f\u7684\u7ec6\u80de\u4f1a\u8ddf\u672a\u6210\u719f\u7684\u7ec6\u80de\u505a\u7ade\u4e89\uff0c\u56e0\u4e3a\u6210\u719f\u7684\u7ec6\u80de\u5df2\u7ecf\u62ff\u5230\u8fde\u63a5\u4e86\uff0c\u65b0\u7684\u7ec6\u80de\u8fd8\u6ca1\u62ff\u5230\u8fde\u63a5\uff0c\u62ff\u5230\u7a33\u5b9a\u7684\u4f4d\u7f6e\u624d\u80fd\u7ee7\u7eed\u751f\u5b58\u4e0b\u53bb\u3002\u4ed6\u4eec\u53d1\u73b0\u5982\u679c\u52a0\u4e00\u4e9b\u836f\u7269\u53bb\u52a0\u5f3a\u7ade\u4e89\uff0c\u5176\u5b9e\u53ef\u4ee5\u63d0\u9ad8\u8bb0\u5fc6\u7684\u7cbe\u5ea6\u3002<\/span><\/section>\n

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Enhanced synaptic plasticity in newly generated granule cells of the adult hippocampus. Christoph Schmidt-Hieber, Peter Jonas & Josef Bischofberger. Nature.<\/section>\n<\/section>\n<\/blockquote>\n


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\u4ed6\u4eec\u8fd8\u53bb\u5e72\u6270\u65b0\u7684\u7ec6\u80de\u7684\u751f\u6210\uff0c\u770b\u8fd9\u4e2a\u8fd8\u80fd\u4e0d\u80fd\u5206\u5f00\u4e92\u76f8\u5e72\u6270\u7684\u8bb0\u5fc6\u3002\u5f53\u7136\u8fd9\u4e2a\u80fd\u529b\u4f1a\u6d88\u5931\uff0c\u4f46\u662f\u8fd9\u6837\u505a\u5176\u5b9e\u4e0d\u592a\u4f1a\u4f24\u5bb3\u795e\u7ecf\u7ec6\u80de\uff0c\u56e0\u4e3a\u795e\u7ecf\u7ec6\u80de\u8fd8\u6709\u80fd\u529b\u53bb\u5bf9\u975e\u5e38\u4e0d\u540c\u7684\u8bb0\u5fc6\u8fdb\u884c\u533a\u5206\u3002\u4f46\u5982\u679c\u6211\u4eec\u6ca1\u6709\u6210\u4f53\u795e\u7ecf\u751f\u6210\uff0c\u6211\u4eec\u533a\u522b\u7c7b\u4f3c\u4e8b\u7269\u7684\u80fd\u529b\u4f1a\u88ab\u7834\u574f\u3002\u6211\u4eec\u5173\u6ce8\u8fd9\u4e2a\u95ee\u9898\u56e0\u4e3a\u8fd9\u4e2a\u95ee\u9898\u5bf9\u6a21\u5f0f\u5206\u79bb\u662f\u5f88\u91cd\u8981\u7684\u3002<\/span><\/section>\n

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\u63a5\u4e0b\u6765\u505a\u7684\u4e1c\u897f\u6709\u70b9\u50cf\u673a\u5668\u5b66\u4e60\uff0c\u9996\u5148\u6709\u4e24\u79cd\u6a21\u5f0f\u7684\u6570\u636e\u3002\u9996\u5148\u4e00\u4e2a\u662f\u5e72\u6270\u6a21\u5f0f<\/span>\uff08interfering patterns\uff09<\/span>\uff0c\u6a21\u62df\u4e00\u4e9b\u5f88\u7c7b\u4f3c\u7684\u8bb0\u5fc6\uff0c\u6a21\u5f0f\u4e4b\u95f4\u6709\u91cd\u53e0\u3002\u53e6\u5916\u4e00\u4e2a\u4e0d\u5e72\u6270\u7684\u6a21\u5f0f<\/span>\uff08non interfering patterns\uff09<\/span>\u5c31\u662f\u8bb0\u5fc6\u4e4b\u95f4\u6ca1\u6709\u5173\u7cfb\u3002\u8fd9\u4e2a\u662f\u6211\u4eec\u7528\u6765\u8bad\u7ec3\u7684\u57fa\u672c\u6a21\u5f0f\u6570\u636e\uff0c\u518d\u52a0\u4e0a\u4e00\u4e2a\u968f\u673a\u5411\u91cf\uff0c\u7136\u540e\u751f\u6210\u7684\u3002\u4ed6\u4eec\u5206\u522b\u8bad\u7ec3\uff0c\u7528\u6765\u6a21\u62df\u4e0d\u540c\u7684\u573a\u666f\u3002<\/span><\/section>\n

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Competition on presynaptic resources enhances the discrimination of interfering memories. Chi Chung Alan Fung, Tomoki Fukai. PNAS Nexus 2023.<\/section>\n<\/section>\n<\/blockquote>\n

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\u8f93\u5165\u5355\u5143\u662f0-10\u7684\u6570\u5b57\u3002\u6211\u4eec\u73b0\u5728\u8981\u5b66\u7684\u5c31\u662f\u5230\u5e95\u4ec0\u4e48\u6837\u7684\u6743\u91cd\u5e2e\u53ef\u4ee5\u6a21\u5f0f\u8bc6\u522b\u3002<\/span><\/section>\n

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\u5728\u8fd9\u91cc\u4e3a\u4ec0\u4e48\u7a81\u89e6\u7ade\u4e89\u91cd\u8981\u5462\uff0c\u6211\u4eec\u770b\u5982\u4e0b\u4e09\u4e2a\u573a\u666f\uff1a<\/span><\/section>\n

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\u4e4b\u540e\u6211\u4eec\u5728MNIST\u6570\u636e\u96c6\u91cc\u6d4b\u8bd5\u3002\u6211\u4eec\u53d1\u73b0\u5982\u679c\u7528\u5f88\u5c11\u7684\u6837\u4f8b\uff0c\u8fd8\u6709\u77ed\u4e00\u4e9b\u7684\u8bad\u7ec3\u65f6\u95f4\uff0c\u7a81\u89e6\u7ade\u4e89\u662f\u53ef\u4ee5\u505a\u5230\u6bd4\u8f83\u597d\u7684\u7ed3\u679c\u3002\u6bd4\u5982\u7a81\u89e6\u7ade\u4e89\u53ea\u5b66\u4e86\u4e00\u6b21\uff0c\u4f46\u7ed3\u679c\u662f\u8ba9\u4eba\u610f\u5916\u7684\u597d\u3002\u5b66\u4e00\u6b21\u5c31\u80fd\u6cdb\u5316\u51fa\u8fd9\u4e9b\u5f88\u5947\u602a\u7684\u8f93\u5165\u6743\u91cd\uff0c\u597d\u50cf\u662f\u628a\u6eb6\u89e3\u7684\u6570\u5b57\u653e\u8fdb\u4ed6\u4eec\u7684\u8f93\u5165\u6743\u91cd\uff0c\u6216\u8005\u662f\u81ea\u52a8\u628a\u8fd9\u4e2a\u7a81\u89e6\u7ade\u4e89\u641e\u6210\u4e00\u4e2a\u7279\u5f81\uff0c\u628a\u4e0d\u540c\u7279\u5f81\u653e\u5728\u4e0d\u540c\u7684\u795e\u7ecf\u5143\u4e00\u6837\u3002<\/span><\/section>\n

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\uff5c\u5b66\u8005\u7b80\u4ecb<\/strong><\/span><\/section>\n
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\u51af\u5fd7\u806a\uff08Alan Fung\uff09<\/span><\/strong>\uff0c2006 \u5e74\u5f00\u59cb\u7814\u7a76\u8fde\u7eed\u5438\u5f15\u5b50\u795e\u7ecf\u7f51\u7edc\uff08CANN\uff09\u6a21\u578b\u3002<\/span><\/section>\n
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\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u4ece\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\u5230\u7c7b\u8111\u4eba\u5de5\u667a\u80fd<\/strong><\/a><\/p>\n


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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>\u4ece\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66\u5230\u667a\u80fd\u6d8c\u73b0\uff1a\u57fa\u4e8e\u795e\u7ecf\u590d\u6742\u6027\u7684\u7c7b\u8111\u4eba\u5de5\u667a\u80fd<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2. \u795e\u7ecf\u590d\u6742\u6027\u7ecf\u5178\u7efc\u8ff0\uff1a\u6d8c\u73b0\u7684\u590d\u6742\u795e\u7ecf\u52a8\u529b\u5b66<\/a><\/span><\/strong><\/section>\n
3. <\/strong>\u63a2\u7d22\u5927\u8111\u4e34\u754c\u6027\u7684\u7406\u8bba\u57fa\u7840\uff1a\u91cd\u65b0\u7406\u89e3\u795e\u7ecf\u52a8\u529b\u5b66<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong><\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/span><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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

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