{"id":50193,"date":"2024-05-07T18:11:15","date_gmt":"2024-05-07T10:11:15","guid":{"rendered":"https:\/\/swarma.org\/?p=50193"},"modified":"2024-05-07T18:11:15","modified_gmt":"2024-05-07T10:11:15","slug":"%e7%ac%ac%e4%b8%89%e4%bb%a3%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e6%a8%a1%e5%9e%8b%ef%bc%9a%e9%9d%a2%e5%90%91ai%e5%ba%94%e7%94%a8%e7%9a%84%e8%84%89%e5%86%b2%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50193","title":{"rendered":"\u7b2c\u4e09\u4ee3\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff1a\u9762\u5411AI\u5e94\u7528\u7684\u8109\u51b2\u795e\u7ecf\u7f51\u7edc"},"content":{"rendered":"
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1997\u5e74\uff0cWolfgang Maass\u4e8e\u300aNetworks of spiking neurons: The third generation of neural network models\u300b\u4e00\u6587\u4e2d\u63d0\u51fa\uff0c\u7531\u8109\u51b2\u795e\u7ecf\u5143\u6784\u6210\u7684\u7f51\u7edc\u2014\u2014\u8109\u51b2\u795e\u7ecf\u7f51\u7edc<\/strong><\/span>\uff08SNN\uff09<\/span>\uff0c\u80fd\u591f\u5c55\u73b0\u51fa\u66f4\u5f3a\u5927\u7684\u8ba1\u7b97\u7279\u6027\uff0c\u4f1a\u6210\u4e3a\u7ee7\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u540e\u7684\u201c\u7b2c\u4e09\u4ee3\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u201d[6]\u3002\u5728SNN\u53d1\u5c55\u7684\u65e9\u671f\uff0c\u5176\u8bad\u7ec3\u8fc7\u7a0b\u66f4\u504f\u5411\u4e8e\u4f7f\u7528\u7a81\u89e6\u53ef\u5851\u6027\u89c4\u5219\u4ee5\u8ffd\u6c42\u751f\u7269\u5408\u7406\u6027\u3002\u4f46\u7531\u4e8e\u8d6b\u5e03\u5b66\u4e60\u548c\u8109\u51b2\u65f6\u5e8f\u4f9d\u8d56\u53ef\u5851\u6027\u7b49\u89c4\u5219\u7684\u5c40\u90e8\u6743\u91cd\u4f18\u5316\u7279\u6027\uff0cSNN \u5728\u8ba1\u7b97\u7279\u6027\u4e0a\u7684\u4f18\u52bf\u6ca1\u6709\u88ab\u5f88\u597d\u5730\u53d1\u6398[12,13]\u3002\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u7684\u590d\u5174\uff0cSNN\u7814\u7a76\u4e5f\u66f4\u591a\u5730\u8f6c\u5411\u5bf9\u6027\u80fd\u7684\u8ffd\u6c42\uff0cANN2SNN \u7684\u8f6c\u6362\u65b9\u6cd5\u548c\u57fa\u4e8e\u4ee3\u7406\u68af\u5ea6\u7684\u53cd\u5411\u4f20\u64ad\u65b9\u6cd5\u65e5\u8d8b\u6210\u719f\u3002\u76ee\u524d\uff0c\u5728AI\u5e94\u7528\u4e2d\uff0c\u5177\u6709\u5145\u8db3\u6a21\u62df\u65f6\u95f4\u7684SNN\u5df2\u7ecf\u80fd\u591f\u83b7\u5f97\u4e0eANN\u76f8\u5ab2\u7f8e\u7684\u6027\u80fd\uff0c\u8fd9\u4e3aSNN\u7684\u8fdb\u4e00\u6b65\u53d1\u5c55\u548c\u795e\u7ecf\u5f62\u6001\u786c\u4ef6\u7684\u7814\u53d1\u63d0\u4f9b\u4e86\u4fe1\u5fc3\u3002<\/span><\/section>\n

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[1] Dayan P, Abbott L F. Theoretical neuroscience: computational and mathematical modeling of neural systems [M]. MIT press, 2005.<\/section>\n<\/section>\n<\/blockquote>\n

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[2] Izhikevich E M. Simple model of spiking neurons [J]. IEEE transactions on neural networks, 2003, 14(6): 1569-1572.<\/span><\/section>\n
[3] Perez-Nieves N, Leung V C H, Dragotti P L, et al. Neural heterogeneity promotes robust learning[J]. Nature communications, 2021, 12(1): 5791.<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u8109\u51b2\u795e\u7ecf\u5143\u7684\u5185\u5728\u65f6\u5e8f\u7ed3\u6784\u50ac\u751f\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u5bf9\u975e\u5e8f\u5217\u8f93\u5165\u4fe1\u606f\u5e8f\u5217\u5316\u7684\u9700\u6c42\u3002\u6839\u636e\u751f\u7269\u795e\u7ecf\u7cfb\u7edf\u5bf9\u5916\u754c\u523a\u6fc0\u7684\u7f16\u7801\u65b9\u5f0f\uff0c\u8bb8\u591a\u80fd\u6709\u6548\u5c06\u4fe1\u606f\u5b58\u50a8\u5230\u8109\u51b2\u5e8f\u5217\u7684\u7f16\u7801\u65b9\u5f0f\u88ab\u63d0\u51fa\uff0c\u5305\u62ec\u9891\u7387\u7f16\u7801<\/span>\uff08rate coding\uff09<\/span>\u3001\u65f6\u5e8f\u7f16\u7801<\/span>\uff08temporal coding\uff09<\/span>\u3001\u7fa4\u4f53\u7f16\u7801<\/span>\uff08population coding\uff09<\/span>\u3001\u7a00\u758f\u7f16\u7801<\/span>\uff08sparse coding\uff09<\/span>\u548c\u591a\u79cd\u7f16\u7801\u65b9\u5f0f\u6df7\u5408\u7f16\u7801\u7b49\u3002\u5176\u4e2d\uff0c\u5229\u7528\u79bb\u6563\u65f6\u95f4\u5185\u8109\u51b2\u53d1\u653e\u9891\u7387\u7684\u9891\u7387\u7f16\u7801<\/strong>\u6700\u4e3a\u5e38\u7528\uff0c\u4f46\u662f\u4f1a\u5ffd\u7565\u795e\u7ecf\u5143\u653e\u7535\u65f6\u95f4\u4e0e\u6240\u7f16\u7801\u4fe1\u606f\u95f4\u7684\u8054\u7cfb[4]\u3002\u65f6\u5e8f\u7f16\u7801<\/strong>\u80fd\u591f\u5229\u7528\u8109\u51b2\u53d1\u653e\u65f6\u95f4\uff0c\u56e0\u800c\u76f8\u8f83\u4e8e\u9891\u7387\u7f16\u7801\u66f4\u4e3a\u7cbe\u786e\uff0c\u4f46\u4e5f\u66f4\u4e3a\u590d\u6742\uff0c\u5e76\u4e14\u5bb9\u6613\u4ea7\u751f\u8f83\u9ad8\u7684\u63a8\u7406\u5ef6\u8fdf[5]\u3002<\/span><\/section>\n

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[4] Adrian E D, Zotterman Y. The impulses produced by sensory nerve-endings: Part ii. the response of a single end-organ [J]. The Journal of physiology, 1926, 61(2): 151.<\/span><\/section>\n
[5] VanRullen R, Guyonneau R, Thorpe S J. Spike times make sense [J]. Trends in neurosciences, 2005, 28(1): 1-4.<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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[6] Pouget A, Dayan P, Zemel R. Information processing with population codes [J]. Nature reviews neuroscience, 2000, 1(2): 125-132.<\/span>
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[10] Do H. The organization of behavior [J]. New York, 1949.<\/span><\/section>\n
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[12] Cao Y, Chen Y, Khosla D. Spiking deep convolutional neural networks for energy-efficient object recognition [J]. International journal of computer vision, 2015, 113: 54-66.<\/span><\/p>\n

[13] Wu Y, Deng L, Li G, et al. Spatio-temporal backpropagation for training high-performance spiking neural networks [J]. Frontiers in neuroscience, 2018, 12: 323875.<\/span><\/section>\n<\/blockquote>\n<\/section>\n


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\u4ecd\u6709\u4e00\u4e9b\u5de5\u4f5c\u5c1d\u8bd5\u501f\u9274\u751f\u7269\u89c4\u5219\u5b9e\u73b0SNN\u7684\u76d1\u7763\u5b66\u4e60\u3002\u5176\u4e2d\uff0c\u795e\u7ecf\u8c03\u5236\u662f\u4e00\u7c7b\u5e38\u88ab\u5173\u6ce8\u7684\u5168\u5c40\u4fe1\u606f\u4f20\u64ad\u65b9\u5f0f\u3002\u4e09\u56e0\u5b50\u5b66\u4e60\u5728\u7a81\u89e6\u524d\u540e\u795e\u7ecf\u5143\u6d3b\u52a8\u4e4b\u5916\u5f15\u5165\u4e86\u795e\u7ecf\u8c03\u5236\u7684\u5f71\u54cd[14]\u3002\u5176\u4e2d\uff0c\u5c40\u90e8\u53ef\u5851\u6027\u901a\u5e38\u4ee5\u8d44\u683c\u8ff9<\/span>\uff08eligibility trace\uff09<\/span>\u7684\u5f62\u5f0f\u7d2f\u79ef\uff0c\u5e76\u5728\u201c\u5956\u52b1\u201d\u5ef6\u8fdf\u53d1\u653e\u540e\u4f5c\u7528\u4e8e\u7a81\u89e6\u6743\u91cd\u3002\u53e6\u4e00\u79cd\u795e\u7ecf\u8c03\u5236\u7684\u5efa\u6a21\u65b9\u5f0f\u662f\u5143\u53ef\u5851\u6027\uff0c\u5373\u5c06\u53ef\u5851\u6027\u5e45\u5ea6\u548c\u6781\u6027\u7684\u53d8\u5316\u5efa\u6a21\u4e3a\u795e\u7ecf\u8c03\u8d28<\/span>\uff08neuromodulator\uff09<\/span>\u6c34\u5e73\u7684\u51fd\u6570\u8fdb\u800c\u5b9e\u73b0\u9ad8\u80fd\u6548\u7684\u5168\u5c40\u4fe1\u5ea6\u5206\u914d[15]\u3002<\/span><\/section>\n

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[14] Fr\u00e9maux N, Gerstner W. Neuromodulated spike-timing-dependent plasticity, and theory of three-factor learning rules [J]. Frontiers in neural circuits, 2016, 9: 85.<\/span>
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[15] Zhang T, Cheng X, Jia S, et al. A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost[J]. Science Advances, 2023, 9(34): eadi2947.<\/span><\/section>\n<\/blockquote>\n

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\u4e00\u4e9b\u4ece\u751f\u7269\u89c6\u89d2\u89e3\u91ca\u53cd\u5411\u4f20\u64ad<\/span>\uff08BP\uff09<\/span>\u7684\u8fc7\u7a0b\u4e2d\u884d\u751f\u51fa\u6765\u7684\u5b66\u4e60\u7b97\u6cd5\u4e5f\u88ab\u5e94\u7528\u4e8eSNN \u548c ANN \u7684\u4f18\u5316\u3002BP\u901a\u8fc7\u8ba1\u7b97\u6743\u91cd\u53d8\u5316\u548c\u8bef\u5dee\u95f4\u7684\u5173\u7cfb\u627e\u5230\u6700\u4f18\u7684\u68af\u5ea6\u4e0b\u964d\u65b9\u5411\uff0c\u5176\u4e2d\u6d89\u53ca\u7684\u72ec\u7acb\u53cd\u9988\u901a\u8def\u3001\u7cbe\u786e\u8bef\u5dee\u8ba1\u7b97\u3001\u76f8\u5e72\u53cc\u5411\u77e9\u9635\u7b49\u90fd\u4e0d\u4e00\u5b9a\u80fd\u591f\u5728\u751f\u7269\u4e2d\u627e\u5230\u7269\u8d28\u57fa\u7840\u3002\u901a\u8fc7\u964d\u4f4e\u8ba1\u7b97\u8fc7\u7a0b\u7684\u7cbe\u786e\u6027\uff0c\u53ef\u4ee5\u5efa\u7acbBP\u4e0e\u4e00\u4e9b\u751f\u7269\u673a\u5236\u7684\u5bf9\u5e94\u5173\u7cfb\uff1a\u53cd\u9988\u5bf9\u9f50\u7b49\u4e00\u7c7b\u5b66\u4e60\u7b97\u6cd5\u89e3\u8026\u4e86\u53cc\u5411\u77e9\u9635\u95f4\u76f8\u5e72\u6027[16]\uff1bNGRAD\u6846\u67b6\u5c06\u5b66\u4e60\u5206\u89e3\u4e3a\u795e\u7ecf\u5143\u6d3b\u52a8\u8bef\u5dee\u548c\u5c40\u90e8\u68af\u5ea6\u7684\u7ed3\u5408[17]\uff1b\u81ea\u7ec4\u7ec7\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u5efa\u6a21\u4e86\u53ef\u5851\u6027\u9006\u5411\u4f20\u64ad\u7684\u4ecb\u89c2\u8fc7\u7a0b[18]\uff1bBP-STDP\u5219\u8bc1\u660e\u4e86STDP\u548cBP\u5728\u7279\u5b9a\u60c5\u51b5\u4e0b\u7684\u7b49\u4ef7\u6027[19]\u3002\u8fd9\u4e9b\u7b97\u6cd5\u5f88\u96be\u5728\u51c6\u786e\u6027\u4e0a\u5b9e\u73b0\u5bf9BP\u7684\u5927\u5e45\u8d85\u8d8a\uff0c\u4f46\u662f\u5374\u80fd\u591f\u5728\u4fdd\u8bc1\u51c6\u786e\u6027\u63a5\u8fd1\u7684\u60c5\u51b5\u4e0b\u6709\u6548\u964d\u4f4e\u8bad\u7ec3\u6210\u672c\uff0c\u800c\u8fd9\u4e8c\u8005\u95f4\u7684\u6298\u8877\u5bf9\u4e8e\u751f\u7269\u5728\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u751f\u5b58\u5177\u6709\u76f8\u5f53\u7684\u610f\u4e49\u3002<\/span><\/section>\n

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[16] Lillicrap T P, Cownden D, Tweed D B, et al. Random synaptic feedback weights support error backpropagation for deep learning [J]. Nature communications, 2016, 7(1): 13276.<\/span><\/section>\n
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[18] Zhang T, Cheng X, Jia S, et al. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks[J]. Science advances, 2021, 7(43): eabh0146.<\/span><\/section>\n
[19] Tavanaei A, Maida A. BP-STDP: Approximating backpropagation using spike timing dependent plasticity[J]. Neurocomputing, 2019, 330: 39-47.<\/span><\/section>\n<\/blockquote>\n

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[20] Stevens C F, Wang Y. Facilitation and depression at single central synapses [J]. Neuron, 1995, 14(4): 795-802.<\/span><\/section>\n<\/section>\n<\/blockquote>\n


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[21] Cheng X, Hao Y, Xu J, et al. LISNN: Improving spiking neural networks with lateral interactions for robust object recognition[C]\/\/IJCAI. 2020: 1519-1525.<\/span><\/p>\n

[22] Hasani R, Lechner M, Amini A, et al. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits[C]\/\/International Conference on Machine Learning. PMLR, 2020: 4082-4093.<\/span><\/section>\n<\/blockquote>\n

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\u5f69\u7968\u5047\u8bf4\u4e2d\uff0c\u4e00\u4e2a\u5927\u89c4\u6a21\u7f51\u7edc\u53ef\u4ee5\u627e\u5230\u5728\u4e0e\u5176\u529f\u80fd\u4e0a\u7b49\u4ef7\u7684\u5c0f\u89c4\u6a21\u7a00\u758f\u7f51\u7edc\uff0c\u8fd9\u8868\u660e\u5927\u89c4\u6a21\u7f51\u7edc\u4e2d\u7684\u529f\u80fd\u6027\u7ed3\u6784\u62bd\u63d0\u662f\u6709\u7406\u8bba\u53ef\u80fd\u6027\u7684\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u5173\u952e\u7684\u7ed3\u6784\u7279\u5f81\u548c\u91cd\u8981\u7684\u62d3\u6251\u73af\u8def\u7ecf\u8fc7\u8c03\u8bd5\u540e\u53ef\u4ee5\u5f62\u6210\u57fa\u7840\u7684\u7ed3\u6784\u7b97\u5b50\u3002\u4ee5Motif\u5206\u5e03\u4e3a\u4f8b\uff0cMotif\u662f\u6307\u5305\u542b\u82e5\u5e72\u4e2a\u795e\u7ecf\u5143\u7684\u73af\u8def\u5355\u5143\uff0c\u800c\u4e0d\u540c\u7c7b\u578bMotif\u7684\u5360\u6bd4\u5373\u4e3aMotif\u5206\u5e03\u3002\u57fa\u4e8e\u4e0d\u540c\u5206\u5e03\u53ef\u4ee5\u5f62\u6210\u524d\u9988\u3001\u53cd\u9988\u3001\u5faa\u73af\u7b49\u8fde\u63a5\u65b9\u5f0f\u3002\u591a\u4e2a\u751f\u7269\u7cfb\u7edf\u90fd\u88ab\u53d1\u73b0\u7b26\u5408\u7279\u5b9aMotif\u5206\u5e03\u3002\u57fa\u4e8e\u4e09\u70b9Motif\u7279\u5f81\u7684\u76f8\u5173\u5de5\u4f5c\u53ef\u4ee5\u5b9e\u73b0\u73af\u8def\u7ea7\u522b\u7684\u4fe1\u606f\u878d\u5408\uff0c\u5728\u63d0\u5347\u6b63\u786e\u7387\u7684\u540c\u65f6\u518d\u73b0\u8ba4\u77e5\u6548\u5e94[23]\u3002<\/span><\/section>\n

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[23] Zhang D, Zhang T, Jia S, et al. Multi-sacle dynamic coding improved spiking actor network for reinforcement learning[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 2022, 36(1): 59-67.<\/span><\/section>\n<\/section>\n<\/blockquote>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\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><\/section>\n
2. <\/strong>\u524d\u6cbf\u7efc\u8ff0\uff1a\u795e\u7ecf\u56de\u8def\u4e2d\u7684\u5174\u594b-\u6291\u5236\u5e73\u8861\u3001\u4e34\u754c\u6027\u4e0e\u795e\u7ecf\u6d3b\u52a8<\/a><\/strong><\/span><\/section>\n
<\/strong><\/section>\n
3.<\/strong> <\/a>\u590d\u6742\u6027\u4e2d\u4f55\u4ee5\u6d8c\u73b0\u7b80\u5355\u6027\uff1fSloppy\u6a21\u578b\u6355\u6349\u590d\u6742\u7cfb\u7edf\u7684\u5173\u952e\u81ea\u7531\u5ea6<\/a><\/strong><\/span><\/section>\n
<\/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><\/strong><\/span><\/a><\/strong><\/span><\/strong><\/strong><\/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<\/section>\n

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

\u5bfc\u8bed 1997\u5e74\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6 Wolfgang Maass \u5c31\u63d0\u51fa\uff0c\u7531\u8109\u51b2\u795e\u7ecf\u5143\u6784\u6210\u7684\u7f51\u7edc\u2014\u2014\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\uff08SNN\uff09\u4f1a\u6210\u4e3a\u7ee7\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u540e\u7684\u201c\u7b2c\u4e09\u4ee3\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u201d\u3002\u4f5c\u4e3a\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u6700\u524d\u6cbf\u7684\u4ea4\u53c9\u70b9\u4e4b\u4e00\uff0c\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u7814\u7a76\u4ece\u795e\u7ecf\u5143\u8282\u70b9\u7684\u751f\u7269\u5408\u7406\u5316\u51fa\u53d1\uff0c\u5e76\u6709\u53ef\u80fd\u8fdb\u4e00\u6b65\u6574\u5408\u7c7b\u8111\u542f\u53d1\uff0c\u7a81\u7834\u73b0\u4eca\u4eba\u5de5\u795e\u7ecf…<\/p>\n","protected":false},"author":0,"featured_media":50183,"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\/50193"}],"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=50193"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/50193\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/50183"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=50193"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=50193"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=50193"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=50193"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}