基本信息

曾毅 

中国科学院自动化研究所 研究员

中国科学院大学 岗位教授 博士生导师


招生专业:

(1) 模式识别与智能系统: 类脑人工智能 (中科院自动化所、未来技术学院);

(2) 科学技术哲学: 人工智能哲学与伦理 (人文学院)


电子邮件:yi.zeng@ia.ac.cn
个人主页:http://bii.ia.ac.cn/~yizeng/

研究领域

实现并超越人类水平的智能是人工智能研究的终极目标。世界上除了人脑以外,目前没有任何一个智能系统能够高度协同多模态感知、决策、推理、预测、语言、动作等认知能力,具有高度自适应性、自主学习能力,甚至是自我意识,并稳定工作至少几十年。因此,研究脑信息处理原理,构建类脑人工智能模型,最终应用于人工智能系统研发,是实现人类水平人工智能,最终超越人类智能的重要途径。与此同时,我们要充分关注人工智能风险、安全与伦理,确保类脑人工智能的研究向对人类及社会有益的方向发展。

我的主要研究领域围绕类脑人工智能、人工智能哲学与伦理展开。主要涉及:

(1) 类脑认知智能模型: 类脑脉冲神经网络、类脑人工神经网络、类脑自主学习理论与算法,并将上述研究成果应用于类脑信息处理、类脑智能机器人的研究中。

(2) 人工智能哲学与伦理:研究人工智能哲学,人工智能存在的近期和长远风险、安全、伦理问题,并研究低风险、高度安全、具有道德与伦理的与人类和谐共生的人工智能。

招生信息

   
招生专业
081104-模式识别与智能系统
招生方向
类脑人工智能
人工智能哲学与伦理
脑认知计算建模

教育背景

   
学历
博士研究生学历
学位
工学博士学位

工作经历

中国科学院自动化研究所 研究员、类脑智能研究中心副主任、人工智能伦理与治理研究中心主任

中国科学院大学 岗位教授 (自动化研究所、未来技术学院、人文学院)博士生导师

中国科学院脑科学与智能技术卓越创新中心青年骨干

社会兼职
2021-07-12-今,牛津大学人工智能伦理研究所, 顾问委员会委员
2020-08-07-今,AI & Ethics, Editorial Board Member
2020-03-14-今,联合国教科文组织(UNESCO)人工智能伦理特别专家组, 专家
2019-09-29-今,世界卫生组织(WHO)健康领域人工智能伦理与治理专家组, 专家
2019-09-24-今,Journal of Artificial Intelligence and Consciousness, Editorial Board Member
2019-02-14-今,国家新一代人工智能治理委员会, 委员
2018-10-13-2019-10-13,世界经济论坛全球未来理事会, 价值、伦理与创新委员会委员
2016-08-28-2020-07-30,Cognitive Systems Research (Elsevier), Associate Editor

教授课程

人工智能哲学与伦理
系统与计算神经科学
类脑智能导论

出版信息

   
发表论文
[1] 申国斌, 赵东城, 曾毅. Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns[J]. 2022, 3(6): https://www.cell.com/patterns/fulltext/S2666-3899(22)00119-2.
[2] 申国斌, 赵东城, 曾毅. Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns[J]. 2022, 3(6): https://www.cell.com/patterns/fulltext/S2666-3899(22)00119-2.
[3] Fang, Hongjian, Zeng, Yi, Zhao, Feifei. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2021, 15: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921721/.
[4] Zhao, Yuxuan, Zeng, Yi, Qiao, Guang. Brain-inspired classical conditioning model. ISCIENCE[J]. 2021, 24(1): http://dx.doi.org/10.1016/j.isci.2020.101980.
[5] Zhang, Tielin, Zeng, Yi, Pan, Ruihan, Shi, Mengting, Lu, Enmeng. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. COGNITIVE COMPUTATION[J]. 2021, 13(2): 381-393, https://www.webofscience.com/wos/woscc/full-record/WOS:000548792300001.
[6] Sun, Yinqian, Zeng, Yi, Zhang, Tielin. Quantum superposition inspired spiking neural network. ISCIENCE[J]. 2021, 24(8): http://dx.doi.org/10.1016/j.isci.2021.102880.
[7] Liang, Qian, Zeng, Yi. Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 15: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991719/.
[8] Zhang, Qian, Zeng, Yi, Zhang, Tielin, Yang, Taoyi. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 15: http://dx.doi.org/10.3389/fnsys.2021.628839.
[9] Zhao Feifei, Zeng, Yi, Bai, Jun. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation. MIT Press[J]. 2021, [10] Zhang, Tielin, Cheng, Xiang, Jia, Shuncheng, Poo, MuMing, Zeng, Yi, Xu, Bo. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. SCIENCE ADVANCES[J]. 2021, 7(43): [11] Fang, Hongjian, Zeng, Yi, Zhao, Feifei. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2021, 15: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921721/.
[12] Zhao, Yuxuan, Zeng, Yi, Qiao, Guang. Brain-inspired classical conditioning model. ISCIENCE[J]. 2021, 24(1): http://dx.doi.org/10.1016/j.isci.2020.101980.
[13] Zhang, Tielin, Zeng, Yi, Pan, Ruihan, Shi, Mengting, Lu, Enmeng. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. COGNITIVE COMPUTATION[J]. 2021, 13(2): 381-393, https://www.webofscience.com/wos/woscc/full-record/WOS:000548792300001.
[14] Sun, Yinqian, Zeng, Yi, Zhang, Tielin. Quantum superposition inspired spiking neural network. ISCIENCE[J]. 2021, 24(8): http://dx.doi.org/10.1016/j.isci.2021.102880.
[15] Liang, Qian, Zeng, Yi. Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 15: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991719/.
[16] Zhang, Qian, Zeng, Yi, Zhang, Tielin, Yang, Taoyi. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 15: http://dx.doi.org/10.3389/fnsys.2021.628839.
[17] Zhao Feifei, Zeng, Yi, Bai, Jun. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation. MIT Press[J]. 2021, [18] Zhang, Tielin, Cheng, Xiang, Jia, Shuncheng, Poo, MuMing, Zeng, Yi, Xu, Bo. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. SCIENCE ADVANCES[J]. 2021, 7(43): [19] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/a7b7fa53b97a461c8e9cfcf8489460c9.
[20] Zeng, Yi, Zhao, Yuxuan, Zhang, Tielin, Zhao, Dongcheng, Zhao, Feifei, Lu, Enmeng. A Brain-Inspired Model of Theory of Mind. FRONTIERS IN NEUROROBOTICS[J]. 2020, 14: https://doaj.org/article/eb3e2c8e57514e6fa56a1fa903365cb0.
[21] Huangfu, Cunqing, Zeng, Yi, Wang, Yuwei. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. FRONTIERS IN NEUROINFORMATICS[J]. 2020, 14: https://doaj.org/article/8603947dc29941d9a3c13fc4a4924aa2.
[22] Zhao, Feifei, Zeng, Yi, Guo, Aike, Su, Haifeng, Xu, Bo. A neural algorithm for Drosophila linear and nonlinear decision-making. SCIENTIFIC REPORTS[J]. 2020, 10(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596070/.
[23] Zhao, Dongcheng, Zeng, Yi, Zhang, Tielin, Shi, Mengting, Zhao, Feifei. GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689090/.
[24] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks (vol 14, 7, 2020). FRONTIERS IN COMPUTATIONAL NEUROSCIENCEnull. 2020, 14: https://www.webofscience.com/wos/woscc/full-record/WOS:000531238100001.
[25] Zhang, Tielin, Yang, Yang, Zeng, Yi, Zhao, Yuxuan. Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. COGNITIVE COMPUTATION[J]. 2020, 12(4): 834-843, http://dx.doi.org/10.1007/s12559-020-09717-5.
[26] Zeng, Yi. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology[J]. 2020, [27] Zhao, Feifei, Kong, Qingqun, Zeng, Yi, Xu, Bo. A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2020, 12(1): 124-132, https://www.webofscience.com/wos/woscc/full-record/WOS:000521175700012.
[28] Zhang, Qian, Zeng, Yi, Yang, Taoyi. Computational Investigation of Contributions from Different Subtypes of Interneurons in Prefrontal Cortex for Information Maintenance. SCIENTIFIC REPORTS[J]. 2020, 10(1): http://dx.doi.org/10.1038/s41598-020-61647-2.
[29] Liang, Qian, Zeng, Yi, Xu, Bo. Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/7bae997ef081441a86422cc0f8ed0211.
[30] Zhu, Hongyin, Zeng, Yi, Wang, Dongsheng, Huangfu, Cunqing. Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model. FRONTIERS IN HUMAN NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/9417b4ff22b4414aa368ff31f4464a50.
[31] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/a7b7fa53b97a461c8e9cfcf8489460c9.
[32] Zeng, Yi, Zhao, Yuxuan, Zhang, Tielin, Zhao, Dongcheng, Zhao, Feifei, Lu, Enmeng. A Brain-Inspired Model of Theory of Mind. FRONTIERS IN NEUROROBOTICS[J]. 2020, 14: https://doaj.org/article/eb3e2c8e57514e6fa56a1fa903365cb0.
[33] Huangfu, Cunqing, Zeng, Yi, Wang, Yuwei. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. FRONTIERS IN NEUROINFORMATICS[J]. 2020, 14: https://doaj.org/article/8603947dc29941d9a3c13fc4a4924aa2.
[34] Zhao, Dongcheng, Zeng, Yi, Zhang, Tielin, Shi, Mengting, Zhao, Feifei. GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689090/.
[35] Zhao, Feifei, Zeng, Yi, Guo, Aike, Su, Haifeng, Xu, Bo. A neural algorithm for Drosophila linear and nonlinear decision-making. SCIENTIFIC REPORTS[J]. 2020, 10(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596070/.
[36] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks (vol 14, 7, 2020). FRONTIERS IN COMPUTATIONAL NEUROSCIENCEnull. 2020, 14: https://www.webofscience.com/wos/woscc/full-record/WOS:000531238100001.
[37] Zhang, Tielin, Yang, Yang, Zeng, Yi, Zhao, Yuxuan. Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. COGNITIVE COMPUTATION[J]. 2020, 12(4): 834-843, http://dx.doi.org/10.1007/s12559-020-09717-5.
[38] Zeng, Yi. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology[J]. 2020, [39] Zhao, Feifei, Kong, Qingqun, Zeng, Yi, Xu, Bo. A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2020, 12(1): 124-132, https://www.webofscience.com/wos/woscc/full-record/WOS:000521175700012.
[40] Zhang, Qian, Zeng, Yi, Yang, Taoyi. Computational Investigation of Contributions from Different Subtypes of Interneurons in Prefrontal Cortex for Information Maintenance. SCIENTIFIC REPORTS[J]. 2020, 10(1): http://dx.doi.org/10.1038/s41598-020-61647-2.
[41] Liang, Qian, Zeng, Yi, Xu, Bo. Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/7bae997ef081441a86422cc0f8ed0211.
[42] Zhu, Hongyin, Zeng, Yi, Wang, Dongsheng, Huangfu, Cunqing. Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model. FRONTIERS IN HUMAN NEUROSCIENCE[J]. 2020, 14: https://doaj.org/article/9417b4ff22b4414aa368ff31f4464a50.
[43] Wang, Yuwei, Zeng, Yi, Tang, Jianbo, Xu, Bo. Biological Neuron Coding Inspired Binary Word Embeddings. COGNITIVE COMPUTATION[J]. 2019, 11(5): 676-684, [44] Zhao, Dongcheng, Zeng, Yi, IEEE. Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [45] Bai, Jun, Zeng, Yi, Zhao, Yuxuan, Zhao, Feifei, IEEE. Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [46] Wang, Yuwei, Zeng, Yi, Tang, Jianbo, Xu, Bo. Biological Neuron Coding Inspired Binary Word Embeddings. COGNITIVE COMPUTATION[J]. 2019, 11(5): 676-684, [47] Zhao, Dongcheng, Zeng, Yi, IEEE. Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [48] Bai, Jun, Zeng, Yi, Zhao, Yuxuan, Zhao, Feifei, IEEE. Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [49] Liu, ChengLin, Hussain, Amir, Luo, Bin, Tan, Kay Chen, Zeng, Yi, Zhang, Zhaoxiang. Special Issue of BICS 2016. COGNITIVE COMPUTATIONnull. 2018, 10(2): 282-283, http://www.corc.org.cn/handle/1471x/2202173.
[50] Zeng, Yi, Zhao, Yuxuan, Bai, Jun, Xu, Bo. Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. COGNITIVE COMPUTATION[J]. 2018, 10(2): 307-320, https://www.webofscience.com/wos/woscc/full-record/WOS:000430190600011.
[51] Kong, Qingqun, Han, Jiuqi, Zeng, Yi, Xu, Bo. Efficient coding matters in the organization of the early visual system. NEURAL NETWORKS[J]. 2018, 105: 218-226, http://dx.doi.org/10.1016/j.neunet.2018.04.019.
[52] Wang, Xiaosha, Xu, Yangwen, Wang, Yuwei, Zeng, Yi, Zhang, Jiacai, Ling, Zhenhua, Bi, Yanchao. Representational similarity analysis reveals task-dependent semantic influence of the visual word form area. SCIENTIFIC REPORTS[J]. 2018, 8(1): https://doaj.org/article/27a37d2085a14e26809dd772ef1ff0d1.
[53] Zhang Tielin, Zhao Dongcheng, Xu Bo, Tielin Zhang Yi Zeng, Ceng Yi. Brain-inspired Balanced Tuning for Spiking Neural Networks. 2018, http://ir.ia.ac.cn/handle/173211/22080.
[54] Shi Mengting, Ceng Yi, Zhang Tielin, Tielin Zhang Yi Zeng, Zhao Dongcheng. A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks. 2018, http://ir.ia.ac.cn/handle/173211/22081.
[55] Zeng, Yi, Wang, Guixiang, Xu, Bo. A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2018, 10(2): 290-303, https://www.webofscience.com/wos/woscc/full-record/WOS:000435198600015.
[56] 曾毅;Zeng,Yi. Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition. Cognitive Computation. 2018, [57] Zhao, Feifei, Zeng, Yi, Xu, Bo. A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. FRONTIERS IN NEUROROBOTICS[J]. 2018, 12(12): http://ir.ia.ac.cn/handle/173211/23363.
[58] 曾毅. 曾毅:类脑人工智能及其伦理的思考. 环球财经[J]. 2018, 88-91, http://lib.cqvip.com/Qikan/Article/Detail?id=676657623.
[59] Zhang Tielin, Zeng Yi, Zhao Dongcheng, Shi Mengting, AAAI. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 620-627, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488900077.
[60] Zhao, Feifei, Zeng, Yi, Wang, Guixiang, Bai, Jun, Xu, Bo. A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. COGNITIVE COMPUTATION[J]. 2018, 10(2): 296-306, http://ir.ia.ac.cn/handle/173211/23556.
[61] Kang, Xiaomei, Kong, Qingqun, Zeng, Yi, Xu, Bo. A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2018, 12(12): https://doaj.org/article/375b0c7e0e1741e8a2aa81fe0d27db41.
[62] Liu, ChengLin, Hussain, Amir, Luo, Bin, Tan, Kay Chen, Zeng, Yi, Zhang, Zhaoxiang. Special Issue of BICS 2016. COGNITIVE COMPUTATIONnull. 2018, 10(2): 282-283, http://www.corc.org.cn/handle/1471x/2202173.
[63] Zeng, Yi, Zhao, Yuxuan, Bai, Jun, Xu, Bo. Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. COGNITIVE COMPUTATION[J]. 2018, 10(2): 307-320, https://www.webofscience.com/wos/woscc/full-record/WOS:000430190600011.
[64] Kong, Qingqun, Han, Jiuqi, Zeng, Yi, Xu, Bo. Efficient coding matters in the organization of the early visual system. NEURAL NETWORKS[J]. 2018, 105: 218-226, http://dx.doi.org/10.1016/j.neunet.2018.04.019.
[65] Wang, Xiaosha, Xu, Yangwen, Wang, Yuwei, Zeng, Yi, Zhang, Jiacai, Ling, Zhenhua, Bi, Yanchao. Representational similarity analysis reveals task-dependent semantic influence of the visual word form area. SCIENTIFIC REPORTS[J]. 2018, 8(1): https://doaj.org/article/27a37d2085a14e26809dd772ef1ff0d1.
[66] Zhang Tielin, Zhao Dongcheng, Xu Bo, Tielin Zhang Yi Zeng, Ceng Yi. Brain-inspired Balanced Tuning for Spiking Neural Networks. 2018, http://ir.ia.ac.cn/handle/173211/22080.
[67] Shi Mengting, Ceng Yi, Zhang Tielin, Tielin Zhang Yi Zeng, Zhao Dongcheng. A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks. 2018, http://ir.ia.ac.cn/handle/173211/22081.
[68] Zeng, Yi, Wang, Guixiang, Xu, Bo. A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2018, 10(2): 290-303, https://www.webofscience.com/wos/woscc/full-record/WOS:000435198600015.
[69] 曾毅;Zeng,Yi. Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition. Cognitive Computation. 2018, [70] Zhao, Feifei, Zeng, Yi, Xu, Bo. A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. FRONTIERS IN NEUROROBOTICS[J]. 2018, 12(12): http://ir.ia.ac.cn/handle/173211/23363.
[71] 曾毅. 曾毅:类脑人工智能及其伦理的思考. 环球财经[J]. 2018, 88-91, http://lib.cqvip.com/Qikan/Article/Detail?id=676657623.
[72] Zhang Tielin, Zeng Yi, Zhao Dongcheng, Shi Mengting, AAAI. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 620-627, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488900077.
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