Neuromorphic Intelligence: Learning, Architectures and Large-Scale Systems

本書提供了有關神經形態智慧設計的寶貴資源，這為構建緊湊且低功耗的腦啟發智能系統提供了計算基礎。書中介紹了新穎的脈衝神經網絡學習算法，包括基於多腔室模型的脈衝學習和基於信息理論的脈衝學習。這些算法為讀者理解神經啟發學習的最新進展提供了重要的見解和學術價值。此外，本書還提出了可擴展神經形態架構設計的見解和方法，這些是實現高度認知和能效計算系統的關鍵基礎。此外，本書介紹了代表性的超大規模神經形態系統，並回顧了作者最近實施的幾個大型數位神經形態系統，提供了相應的應用場景。

Shuangming Yang (IEEE Member) received the B.S. degree from Hebei University of Technology in 2013, the M.S. degree and the Ph.D degree in Control Science and Engineering both from Tianjin University, Tianjin, China, in 2016 and 2020, respectively. Since January 2020, he was a lecturer and Postdoctoral Associate at the School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Currently he is an associate professor at the School of Electrical and Information Engineering, Tianjin University, Tianjin, China. His current research interests include information theoretical learning, neuromorphic computing, spike-based machine learning, computer vision, and artificial general intelligence. At present, he is the author or coauthor of more than 40 international journal papers, and the owner of 4 ESI highly cited papers. Dr. Yang has served as an active reviewer for several IEEE Transactions, Frontiers in Neuroscience, and other international journals. He is currently appointed an Editorial board member of JCSC, IET CDS, Frontiers in Neuroscience, and Electronics.

Badong Chen (IEEE Senior Member) received the B.S. and M.S. degrees in Control Theory and Engineering from Chongqing University, Chongqing, China, in 1997 and 2003, respectively, and the Ph.D. degree in Computer Science and Technology from Tsinghua University, Beijing, China, in 2008. He was a Postdoctoral Associate at the University of Florida Computational NeuroEngineering Laboratory (CNEL) from 2010 to 2012. He visited the Nanyang Technological University (NTU), Singapore, as a visiting research scientist in 2015. He also served as a senior research fellow with The Hong Kong Polytechnic University in 2017. Currently he is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China. His research interests are in signal processing, machine learning, artificial intelligence, neural engineering and robotics. He has published 6 books and over 300 papers in various journals and conference proceedings and his papers have got over 13000 citations according to Google Scholar. Dr. Chen is an IEEE Senior Member, a Technical Committee Member of IEEE SPS Machine Learning for Signal Processing (MLSP) and IEEE CIS Cognitive and Developmental Systems (CDS), and an associate editor of IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems and Journal of The Franklin Institute, and has been on the editorial board of Entropy.

Shuangming Yang（IEEE 會員）於2013年獲得河北工業大學的學士學位，並於2016年和2020年分別獲得天津大學控制科學與工程的碩士和博士學位。自2020年1月以來，他在天津大學電氣與信息工程學院擔任講師及博士後研究員。目前，他是天津大學電氣與信息工程學院的副教授。他目前的研究興趣包括信息理論學習、類神經計算、基於脈衝的機器學習、計算機視覺和人工通用智能。目前，他是40多篇國際期刊論文的作者或合著者，並擁有4篇ESI高被引論文。楊博士曾擔任多個IEEE Transactions、Frontiers in Neuroscience及其他國際期刊的活躍審稿人。目前，他被任命為JCSC、IET CDS、Frontiers in Neuroscience和Electronics的編輯委員會成員。

Badong Chen（IEEE 高級會員）於1997年和2003年分別獲得重慶大學控制理論與工程的學士和碩士學位，並於2008年獲得清華大學計算機科學與技術的博士學位。他於2010年至2012年在佛羅里達大學計算神經工程實驗室（CNEL）擔任博士後研究員。2015年，他作為訪問研究科學家訪問新加坡南洋理工大學（NTU）。他於2017年擔任香港理工大學的高級研究員。目前，他是西安交通大學人工智能與機器人研究所（IAIR）的教授。他的研究興趣包括信號處理、機器學習、人工智能、神經工程和機器人技術。他已出版6本書籍和300多篇各類期刊及會議論文，根據Google Scholar，他的論文被引用超過13000次。陳博士是IEEE高級會員，IEEE SPS信號處理機器學習（MLSP）和IEEE CIS認知與發展系統（CDS）的技術委員會成員，以及IEEE Transactions on Cognitive and Developmental Systems、IEEE Transactions on Neural Networks and Learning Systems和Journal of The Franklin Institute的副編輯，並曾擔任Entropy的編輯委員會成員。