This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities.
Abderazek Ben Abdallah is a Full Professor of Computer Science and Engineering, University of Aizu, Aizu-Wakamatus, Japan, since April 2014. He has more than 20- years of experience in research and education of computer systems design and adaptive brain-inspired computing systems. His current research interest lies in studying neural processing systems with a particular focus on spike-based neural network dynamics and spike-based learning. He has authored three books, holds 4 registered and 5 pending Japanese patents, received numerous awards, and published more than 160 journal articles and conference papers.Khanh N. Dang received his Ph.D. degree from The University of Aizu, Japan in 2017. Since 2017, he has been an assistant professor at VNU Key Laboratory for Smart Integrated Systems, VNU University of Engineering and Technology, Vietnam National University Hanoi (VNU), Hanoi Vietnam. He was a visiting researcher at the University of Aizu in 2019and 2020-2021. His research interests include neuromorphic computing, 3D Integrated Circuits technology, AI for CAD, and fault-tolerance.
Innehållsförteckning
1 Introduction to Neuromorphic Computing Systems.- 2 Neuromorphic System Design Fundamentals.- 3 Learning in Neuromorphic Systems.- 4 Emerging Memory Devices for Neuromorphic Systems.- 5 Communication Networks for Neuromorphic Systems.- 6 Fault-Tolerant Neuromorphic System Design.- 7 Reconfigurable Neuromorphic Computing System.- 8 Case Study: Real Hardware-Software Design of 3D-NoC-based Neuromorphic System.- 9 Survey of Neuromorphic Systems.
