Towards Neuromorphic Machine Intelligence

Spike-Based Representation, Learning, and Applications

Qu, Hong , Luo, Xiaoling , Yi, Zhang 저자(글)

Academic Press · 2024년 06월 12일

책 소개

작가정보

저자(글) Qu, Hong

Dr. Hong Qu received the Ph.D. degree in computer science from the University of Electronic Science and Technology of China, Chengdu, China, in 2006. From 2007 to 2008, he was a Post-Doctoral Fellow with the Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph, ON, Canada. From 2014 to 2015, he was a Visiting Scholar with the Potsdam Institute for Climate Impact Research, Potsdam, Germany, and the Humboldt University of Berlin, Berlin, Germany. He is currently a Professor with the Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China. His current research interests include neural networks, machine learning, and big data.

저자(글) Luo, Xiaoling

Dr. Xiaoling Luo received the Ph.D. degree in computer science from the University of Electronic Science and Technology of China, Chengdu, China, in 2023. She is currently a lecturer at School of Computer Science and Engineering, Sichuan University of Science & Engineering. Her current research interests include machine learning and spiking neural networks.

저자(글) Yi, Zhang

Dr. Zhang Yi received the Ph.D. degree in mathematics from the Institute of Mathematics, Chinese Academy of Science, Beijing, China, in 1994. He is currently a Professor with the Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China. He has coauthored several book. His current research interests include neural networks and big data. Prof. Yi was an Associate Editor of the IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS and the IEEE TRANSACTIONS ON CYBERNETICS in 2014.

목차

• 1. Introduction
  2. Fundamentals of Spiking Neural Networks
  3. Specialized Spiking Neuron Model
  4. Learning Algorithms for Shallow Spiking Neural Networks
  5. Learning Algorithms for Deep Spiking Neural Networks
  6. Neural Column-Inspired Spiking neural networks
  7. ANN-SNN Algorithm Suitable for Ultra Energy Efficient Application
  8. Spiking Deep Belief Networks for Fault Diagnosis
  9. Conclusions

기본정보

ISBN	9780443328206 ( 044332820X )
발행(출시)일자	2024년 06월 12일
쪽수	250쪽
총권수	1권
언어	영어