Neuromorphic Intelligence Learning, Architectures and Large-Scale Systems / [electronic resource] :
by Shuangming Yang, Badong Chen.
- 1st ed. 2024.
- XIX, 239 p. 131 illus., 109 illus. in color. online resource.
- Synthesis Lectures on Engineering, Science, and Technology, 2690-0327 .
- Synthesis Lectures on Engineering, Science, and Technology, .
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.
This book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The book introduces novel spiking neural network learning algorithms, including spike-based learning based on the multi-compartment model and spike-based learning with information theory. These offer important insights and academic value for readers to grasp the latest advances in neural-inspired learning. Additionally, the book presents insights and approaches to the design of scalable neuromorphic architectures, which are crucial foundations for achieving highly cognitive and energy-efficient computing systems. Furthermore, the book introduces representative large-scale neuromorphic systems and reviews several recently implemented large-scale digital neuromorphic systems by the authors, providing corresponding application scenarios.