{"id":128,"date":"2022-07-16T23:36:39","date_gmt":"2022-07-16T15:36:39","guid":{"rendered":"https:\/\/www.corticalchip.com\/?p=128"},"modified":"2025-11-05T19:20:03","modified_gmt":"2025-11-05T11:20:03","slug":"%e4%bd%95%e4%bf%8a%e8%b4%a4%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\/16\/%e4%bd%95%e4%bf%8a%e8%b4%a4%e4%b8%aa%e4%ba%ba%e7%ae%80%e4%bb%8b\/","title":{"rendered":"\u4f55\u4fca\u8d24\u4e2a\u4eba\u7b80\u4ecb"},"content":{"rendered":"\n

                                                                                                              \"\"
                                                                                          \u4e2a\u4eba\u90ae\u7bb1\uff1ajunxian_he@cqu.edu.cn<\/p>\n\n\n\n

        \u4f55\u4fca\u8d24\uff0c2019\u5e74\u83b7\u5f97\u91cd\u5e86\u5927\u5b66\u7535\u5b50\u4fe1\u606f\u5de5\u7a0b\u4e13\u4e1a\u5b66\u58eb\u5b66\u4f4d\uff0c\u5e76\u63a8\u8350\u514d\u8bd5\u653b\u8bfb\u91cd\u5e86\u5927\u5b66\u5fae\u7535\u5b50\u4e8e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662\u7855\u58eb\u7814\u7a76\u751f\uff0c2020\u5e74\u901a\u8fc7\u535a\u58eb\u751f\u5165\u5b66\u7533\u8bf7\u8003\u6838\uff0c\u63d0\u524d\u8f6c\u4e3a\u7855\u535a\u8fde\u8bfb\u3002\u4e3b\u7814\u53ca\u53c2\u4e0e\u591a\u9879\u56fd\u5bb6\u7ea7\u548c\u7701\u90e8\u7ea7\u91cd\u70b9\u9879\u76ee\uff0c\u66fe\u83b7\u5f972022\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\uff08\u56e2\u961f\u8d1f\u8d23\u4eba\uff09\u30012019\u5e74\u5146\u6613\u521b\u65b0\u676f\u7b2c\u5341\u56db\u5c4a\u7814\u7a76\u751f\u7535\u5b50\u8bbe\u8ba1\u7ade\u8d5b\u5168\u56fd\u603b\u51b3\u8d5b\u4e8c\u7b49\u5956\u30012018\u5e74\u91cd\u5e86\u5e02TI\u676f\u5927\u5b66\u751f\u7535\u5b50\u8bbe\u8ba1\u7ade\u8d5b\u4e09\u7b49\u5956\uff0c\u7b49\u7b49\u30022023\u5e749\u6708-2024\u5e749\u6708\u4e8e\u54c8\u4f5b\u5927\u5b66\u533b\u5b66\u9662 Schepens\u89c6\u89c9\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u4ea4\u6d41\u8bbf\u5b66\uff0c\u671f\u95f4\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u57fa\u4e8e\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u5927\u6a21\u578b\u7684\u89c6\u969c\u8f85\u52a9\u7cfb\u7edf\u7814\u7a76\u8bbe\u8ba1\uff0c\u5e76\u53d1\u8868\u76f8\u5173\u8bba\u6587\u3002\u5171\u53d1\u886826\u7bc7\u5b66\u672f\u8bba\u6587\uff0c\u7533\u8bf78\u9879\u56fd\u5bb6\u53d1\u660e\u4e13\u5229\u3002\u76ee\u524d\u7814\u7a76\u5174\u8da3\u5305\u62ec\u7c7b\u8111\u6df1\u5ea6\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7b97\u6cd5\u6a21\u578b\u3001\u795e\u7ecf\u5f62\u6001\u6df1\u5ea6\u5904\u7406\u5668\u82af\u7247\u8bbe\u8ba1\u3002<\/p>\n\n\n\n

\u9879\u76ee\u7ecf\u5386<\/strong><\/p>\n\n\n\n

    \n
  1. \u9ad8\u7cbe\u5ea6\u7684\u6fc0\u5149\u4e2d\u5fc3\u7ebf\u63d0\u53d6\u7b97\u6cd5. \u5317\u4eac\u7280\u7075\u89c6\u89c9\u79d1\u6280\u6709\u9650\u516c\u53f8\u6a2a\u5411\u9879\u76ee\uff0c2023-2023\uff0c1\u4e07\uff0c\u4e3b\u6301<\/li>\n<\/ol>\n\n\n\n

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

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

      \n
    1. Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study<\/a><\/mark>
      \u00a0 \u00a0 \u00a0Junxian He<\/strong>, Jiawei Zhang, Zheng Wang, Shrinivas Pundlik, Rui Liu*, Gang Luo. JMIR Formative Research<\/strong><\/em>, 2025, 9, 1-12. \uff08SCI\uff0c3\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    2. A Sub-100\u03bcs-Latency Visual-Cortex-Mimicking Heterogeneous Multi-Core Edge Neuromorphic Processor Enabling On-Chip High-Accuracy Learning<\/mark>
           Junxian He<\/strong> , Ying Jiang , Zhengqing Zhong , Mingju Chen , Liyuan Liu , <\/strong>Cong Shi*, 2025 IEEE 16th International Conference on ASIC (ASICON)<\/em><\/strong>, 2025. (Accepted).

      <\/li>\n\n\n\n
    3. Using ChatGPT To Generate Walking Directions\u2014Could It Potentially Help Visually Impaired With Micronavigation?<\/a>
      Junxian He<\/strong>, Shrinivas Pundik, Gang Luo*. Translational Vision Science & Technology<\/em>, May 2025, 14(5).\uff08SCI\uff0c2\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    4. A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit<\/a><\/mark>
          Mingju Chen, Junxian He<\/strong>, Haibing Wang, Tengxiao Wang, Haoran Gao, Liyuan Liu, Ying Wang, Cong Shi*. IEEE Transactions <\/strong><\/em>On Circuits and Systems II: Express Briefs<\/em><\/strong><\/strong>, <\/strong>2025, 72(7), 943-947.\uff08SCI\uff0c1\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    5. A Visual Cortex-Inspired Edge Neuromorphic Hardware Architecture With On-Chip Multi-Layer STDP Learning<\/a><\/mark>
          Junxian He<\/strong>, Min Tian, Ying Jiang, Haibing Wang, Tengxiao Wang, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Ying Wang, Cong Shi*. Computers and Electrical Engineering<\/em><\/strong>, 2024, 120:109806.\uff08SCI\uff0c1\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    6. MorphBungee: A 65-nm 7.2-mm2<\/sup> 27-\u03bcJ\/image Digital Edge Neuromorphic Chip with On-Chip 802-frame\/s Multi-Layer Spiking Neural Network Learning<\/a><\/mark>
          Tengxiao Wang, Min Tian, Haibing Wang, Zhengqing Zhong, Junxian He<\/strong>, Fang Tang, Xichuan Zhou, Yingcheng Lin, Shuang-Ming Yu, Liyuan Liu, Cong Shi*. IEEE Transactions on Biomedical Circuits and Systems<\/strong><\/em>, <\/strong>2025, 19(1), 209-225. \uff08SCI\uff0c1\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    7. An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips<\/a><\/mark>
           Leyi Chen, Cong Shi, Junxian He<\/strong>, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian*. IEEE Transactions on Circuits and Systems I: Regular Papers<\/em><\/strong>: 2023, 70(11), 4249-4259.\uff08SCI\uff0c1\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    8. MorphBungee: A 65nm 7.2mm2<\/sup> 27\u03bcJ\/image Digital Edge Neuromorphic Chip with On-Chip 802 frame\/s Multi-layer Spiking Neural Network Learning<\/a><\/mark>
          Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He<\/strong>, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi*<\/sup>, 2023 IEEE Asian Solid-State Circuits Conference (ASSCC)<\/em><\/strong>, 2023, 1-3.

      <\/li>\n\n\n\n
    9. Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip<\/a>
          Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He<\/strong>, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi*. <\/strong>2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)<\/strong><\/em>, 2023, 1-2.

      <\/li>\n\n\n\n
    10. Low-Cost Real-Time VLSI System for High-Accuracy Optical Flow Estimation Using Biological Motion Features and Random Forests<\/a>
          Cong Shi, Junxian He<\/strong>, Shrinivas Pundlik, Xichuan Zhou*, Nanjian Wu, Gang Luo. Science China Information Sciences<\/strong><\/em>: 2023, 66(5), 159401.\uff08SCI\uff0c2\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    11. High-Accuracy Deep ANN-to-SNN Conversion Using Quantization-Aware Training Framework and Calcium-Gated Bipolar Leaky Integrate & Fire Neuron<\/a><\/mark>
           Haoran Gao, Junxian He<\/strong>, Haibing Wang, Tengxiao Wang, Zhengqing Zhong, Jianyi Yu, Ying Wang, Min Tian, Cong Shi*. Frontiers in Neuroscience<\/em><\/strong>: 2023, 17, 1141701.\uff08SCI\uff0c2\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    12. An Edge Neuromorphic Hardware with Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes<\/a><\/mark>
           Cong Shi, Jingya Zhang, Tengxiao Wang, Zhengqing Zhong, Junxian He<\/strong>, Haoran Gao, Jianyi Yu, Ping Li, Min Tian*. IEEE Transactions on Circuits and Systems II: Express Briefs<\/em><\/strong>: 2023, 70(7), 2665-2669.\uff08SCI\uff0c2\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    13. A Configurable On-Chip Spike Encoding Network Based on Dual-Mode Integrate & Fire Neurons<\/a><\/mark>
           Zhengqing Zhong, Yunpeng Tuo*, Haibing Wang, Tengxiao Wang, Junxian He<\/strong>, Min Tian, Cong Shi. IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference(ITNEC)<\/em><\/strong>: 2023, 1445-1449.

      <\/li>\n\n\n\n
    14. An 8-T Processing-in-Memory SRAM Cell-Based <\/mark>Pixel-Parallel Array Processor for Vision Chips<\/a><\/mark>
           Leyi Chen, Junxian He<\/strong>, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian*. IEEE Asia Pacific Conference on Circuits and Systems<\/strong><\/em> (APCCAS)<\/em><\/strong>: 2022, 1-5.(Best Paper Award)<\/strong>

      <\/li>\n\n\n\n
    15. TEDOP: a Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity<\/a><\/mark>
           Cong Shi, Sihao Chen, Haibing Wang, Zhengqing Zhong, Ping Li, Junxian He<\/strong>, Tengxiao Wang, Jianyi Yu, Min Tian*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>: 2022, pp. 62-63.

      <\/li>\n\n\n\n
    16. MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks<\/a><\/mark>
          Tengxiao Wang, Haibing Wang, Junxian He<\/strong>, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuang-Ming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi*. IEEE Biomedical Circuits and Systems Conference (BioCAS)<\/em><\/strong>: 2022, 255-259.

      <\/li>\n\n\n\n
    17. TripleBrain: A Compact Neuromorphic Hardware Core with Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity<\/a>
          Haibing Wang, Zhen He, Tengxiao Wang, Junxian He<\/strong>, 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
    18. 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, Jinsong Rao, Tengxiao Wang, Junxian He<\/strong>, 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\n\n\n
    19. A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors<\/a>
          Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He<\/strong>, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>: 2021, 51-52.

      <\/li>\n\n\n\n
    20. DeepTempo: a Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks<\/a>
           Cong Shi*, Tengxiao Wang, Junxian He<\/strong>, Jianghao Zhang, Liyuan Liu, Nanjian Wu. IEEE Transactions on Circuits and Systems II: Express Briefs<\/em><\/strong>: 2021, 68(5), 1581-1585. \uff08SCI\uff0c2\u533a\uff0cinvited paper\uff09<\/strong>

      <\/li>\n\n\n\n
    21. CompSNN: A Lightweight Spiking Neural Network Based on Spatiotemporally Compressive Spike Features<\/a>
           Tengxiao Wang, Cong Shi*, Xichuan Zhou, Yingcheng Lin, Junxian He<\/strong>, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo. Neurocomputing<\/em><\/strong>: 2021, 425(15), 96-106. \uff08SCI\uff0c2\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    22. A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution<\/a>
           Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He<\/strong>, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>: 2020, 63-64.

      <\/li>\n\n\n\n
    23. A High-speed Low-cost VLSI System Capable of On-chip Online Learning for Dynamic Vision Sensor Data Classification<\/a>
           Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He<\/strong>, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi*. Sensors<\/em><\/strong>: 2020, 20(17), 4715. \uff08SCI\uff0c3\u533a\uff09<\/strong>

      <\/li>\n\n\n\n
    24. A Hardware System for Fast AER Object Classification with On-chip Online Learning<\/a>
           Jinguo Huang, Wei He, Xichuan Zhou, Junxian He<\/strong>, Ying Wang, Cong Shi, Yingcheng Lin*. IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)<\/em><\/strong>: 2019, 85-86.

      <\/li>\n\n\n\n
    25. 20,000-fps Visual Motion Magnification on Pixel-parallel Vision Chip<\/a>
           Junxian He<\/strong>, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi*, Nanjian Wu, Gang Luo. IEEE International Conference on ASIC (ASICON)<\/em><\/strong>: 2019, 1-4.

      <\/li>\n\n\n\n
    26. \u57fa\u4e8e\u4eff\u751f\u8fd0\u52a8\u80fd\u91cf\u7279\u5f81\u7684\u5149\u6d41\u8ba1\u7b97\u82af\u7247\u8bbe\u8ba1\u7efc\u8ff0<\/a>
           \u4f55\u4fca\u8d24<\/strong>, \u9ec4\u8fdb\u56fd, \u77f3\u5306*. \u5fae\u7eb3\u7535\u5b50\u4e0e\u667a\u80fd\u5236\u9020<\/em><\/strong>: 2019, 1(3), 141-150<\/li>\n<\/ol>\n\n\n\n

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

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

        \n
      1. \u7f51\u7edc\u7ed3\u6784\u53ef\u914d\u7f6e\u7684\u7c7b\u8111\u82af\u7247\u67b6\u6784.
        \u77f3\u5306*, \u738b\u817e\u9704, \u7530\u654f, \u738b\u6d77\u51b0, \u949f\u6b63\u9752, \u4f55\u4fca\u8d24<\/strong>, \u848b\u9896. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN117273100A\uff0c2023-12-22

        <\/li>\n\n\n\n
      2. \u4e8b\u4ef6\u9a71\u52a8\u7c7b\u578b\u82af\u7247\u4e2d\u7a81\u89e6\u6743\u91cd\u66f4\u65b0\u65b9\u6cd5\u3001\u82af\u7247\u3001\u7535\u5b50\u8bbe\u5907.
        \u77f3\u5306*, \u738b\u6d77\u51b0, \u7530\u654f, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u55bb\u5251\u4f9d, \u9ad8\u704f\u7136, \u5f20\u9756\u96c5, \u9648\u4e50\u6bc5, \u9648\u601d\u8c6a, \u5eb9\u4e91\u9e4f. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116629331A\uff0c2023-08-22

        <\/li>\n\n\n\n
      3. \u57fa\u4e8eCa-LIF\u795e\u7ecf\u5143\u6a21\u578b\u7684Spike-BP\u7247\u4e0a\u5b66\u4e60\u65b9\u6cd5\u3001\u7cfb\u7edf\u53ca\u5904\u7406\u5668.
        \u77f3\u5306*, \u9ad8\u704f\u7136, \u7530\u654f, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u55bb\u5251\u4f9d, \u738b\u6d77\u51b0, \u9648\u601d\u8c6a, \u5f20\u9756\u96c5, \u5eb9\u4e91\u9e4f, \u9648\u4e50\u6bc5. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116629344A\uff0c2023-08-22

        <\/li>\n\n\n\n
      4. \u57fa\u4e8e\u5168\u8109\u51b2HMAX\u6a21\u578b\u7684\u591a\u5c42\u5377\u79ef\u7c7b\u8111\u82af\u7247.
        \u77f3\u5306*, \u4f55\u4fca\u8d24<\/strong>, \u738b\u6d77\u51b0, \u738b\u817e\u9704, \u5f20\u9756\u96c5, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116562350A\uff0c2023-08-08

        <\/li>\n\n\n\n
      5. \u4e00\u79cd\u57fa\u4e8e\u6db2\u4f53\u72b6\u6001\u673a\u7684\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u67b6\u6784.
        \u77f3\u5306*, \u9648\u4e50\u6bc5, \u7530\u654f, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u738b\u6d77\u51b0, \u55bb\u5251\u4f9d, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116562354A\uff0c2023-08-08

        <\/li>\n\n\n\n
      6. \u6df1\u5c42\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u53ca\u6df1\u5c42SNN\u7247\u4e0a\u5b9e\u65f6\u5b66\u4e60\u5904\u7406\u5668.
        \u77f3\u5306*\uff0c\u5f20\u9756\u96c5, \u7530\u654f, \u738b\u817e\u9704, \u4f55\u4fca\u8d24<\/strong>, \u55bb\u5251\u4f9d, \u9ad8\u704f\u7136, \u738b\u6d77\u51b0, \u9648\u4e50\u6bc5, \u9648\u601d\u8c6a, \u5eb9\u4e91\u9e4f. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116562344A\uff0c2023-08-08

        <\/li>\n\n\n\n
      7. \u57fa\u4e8e\u53cc\u6a21\u5f0f\u79ef\u5206\u70b9\u706b\u795e\u7ecf\u5143\u7684\u7247\u4e0a\u8109\u51b2\u7f16\u7801\u5668.
        \u77f3\u5306*, \u5eb9\u4e91\u9e4f, \u949f\u6b63\u9752, \u7530\u654f, \u738b\u6d77\u51b0, \u738b\u817e\u9704, \u4f55\u4fca\u8d24<\/strong>, \u9648\u4e50\u6bc5, \u5f20\u9756\u96c5, \u738b\u4e3d, \u9648\u601d\u8c6a, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN116050487A\uff0c2023-05-02

        <\/li>\n\n\n\n
      8. \u8f7b\u91cf\u7ea7\u7247\u4e0a\u5b66\u4e60FPGA\u786c\u4ef6\u67b6\u6784\u53ca\u5176\u8bbe\u8ba1\u65b9\u6cd5.
        \u77f3\u5306*, \u5f20\u9756\u96c5, \u7530\u654f, \u738b\u817e\u9704, \u738b\u6d77\u51b0, \u4f55\u4fca\u8d24<\/strong>, \u5362\u9756, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN115115039A\uff0c2022-09-27

        <\/li>\n\n\n\n
      9. \u4e00\u79cd\u4f4e\u5149\u7167\u5c0f\u50cf\u7d20CFA\u91c7\u6837\u4e0e\u8fb9\u7f18\u8ba1\u7b97\u8bbe\u5907\u9002\u7528\u7684\u53bb\u9a6c\u8d5b\u514b\u65b9\u6cd5.
        \u77f3\u5306*, \u4efb\u9759, \u674e\u777f, \u738b\u6d77\u51b0, \u9ad8\u704f\u7136, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u738b\u4e3d. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN115082315A\uff0c2022-09-20

        <\/li>\n\n\n\n
      10. \u5b58\u5185\u8ba1\u7b97\u88c5\u7f6e\u53ca\u5176\u63a7\u5236\u65b9\u6cd5.
        \u77f3\u5306*, \u9648\u4e50\u6bc5, \u7530\u654f, \u738b\u6d77\u51b0, \u55bb\u5251\u4f9d, \u4f55\u4fca\u8d24<\/strong>. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN115064197A\uff0c2022-09-16

        <\/li>\n\n\n\n
      11. \u57fa\u4e8e\u7b80\u5316SDSP\u7b97\u6cd5\u7684\u8f7b\u91cf\u7ea7\u7247\u4e0a\u5b66\u4e60\u65b9\u6cd5\u3001\u7cfb\u7edf\u53ca\u5904\u7406\u5668.
        \u9648\u601d\u8c6a, \u77f3\u5306*, \u7530\u654f, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u738b\u6d77\u51b0, \u9ad8\u704f\u7136, \u5eb9\u4e91\u9e4f. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN115018058A\uff0c2022-09-06

        <\/li>\n\n\n\n
      12. \u57fa\u4e8e\u5fc6\u963b\u5668\u7684\u53ef\u7247\u4e0a\u5f3a\u5316\u5b66\u4e60\u8109\u51b2GAN\u6a21\u578b\u53ca\u8bbe\u8ba1\u65b9\u6cd5. 
        \u77f3\u5306*, \u5362\u9756, \u7530\u654f, \u738b\u6d77\u51b0, \u55bb\u5251\u4f9d, \u4f55\u4fca\u8d24<\/strong>, \u738b\u817e\u9704, \u9ad8\u704f\u7136. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN114943329A\uff0c2022-08-25

        <\/li>\n\n\n\n
      13. \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<\/strong>, \u4f55\u796f. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN114091663A\uff0c2022-2-25

        <\/li>\n\n\n\n
      14. \u57fa\u4e8e\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u5b9e\u65f6\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u3001\u7cfb\u7edf\u53ca\u5904\u7406\u5668.
        \u738b\u817e\u9704, \u77f3\u5306*, \u7530\u654f, \u4f55\u4fca\u8d24<\/strong>, \u738b\u6d77\u51b0, \u55bb\u5251\u4f9d. \u4e2d\u56fd\uff0c\u516c\u5f00\u53f7\uff1aCN114065922A\uff0c2022-2-18<\/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-128","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/128","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=128"}],"version-history":[{"count":147,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/128\/revisions"}],"predecessor-version":[{"id":2602,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/posts\/128\/revisions\/2602"}],"wp:attachment":[{"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/media?parent=128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/categories?post=128"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.corticalchip.com\/index.php\/wp-json\/wp\/v2\/tags?post=128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}