Neuromorphic Intelligence

Introduction.- Introduction for Neuromorphic Intelligence.- Spike-based Learning with Multi-compartment Model.- Spike-based Learning with Information Theory.- Scalable Architectures on Neuromorphic Systems.- Large-scale Digital Neuromorphic Systems.- Conclusion.

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