| Title | : | Neuromorphic Intelligence |
|---|---|---|
| Author | : | Shuangming Yang & Badong Chen |
| Release | : | 2024-05-14 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Science & Nature, Life Sciences, Professional & Technical, Engineering |
| Size | : | 76120807 |
| 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. |
