Neuromorphic Intelligence: Learning, Architectures and Large-Scale Systems - Badong Chen,Shuangming Yang
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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 ins ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Autor | Badong Chen, Shuangming Yang |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Series | Synthesis Lectures on Engineering, Science, and Technology |
| Väljalaskeaasta | 2024 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783031578724 |