TY  - BOOK
AU  - Yang,Shuangming
AU  - Chen,Badong
ED  - SpringerLink (Online service)
TI  - Neuromorphic Intelligence: Learning, Architectures and Large-Scale Systems 
T2  - Synthesis Lectures on Engineering, Science, and Technology,
SN  - 9783031578731
AV  - Q342 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Neurosciences
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Neuroscience
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-57873-1
ER  -