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Google圖書搜尋
Neuromorphic Intelligence
Badong Chen
Shuangming Yang
其他書名
Learning, Architectures and Large-Scale Systems
出版
Springer Nature
, 2024
ISBN
3031578732
9783031578731
URL
http://books.google.com.hk/books?id=XdUHEQAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.