| 书目名称 | Neuromorphic Intelligence |
| 副标题 | Learning, Architectu |
| 编辑 | Shuangming Yang,Badong Chen |
| 视频video | http://file.papertrans.cn/665/664239/664239.mp4 |
| 概述 | Discusses neuromorphic intelligence, which serves as a foundation for compact, low-power brain-inspired‘systems.Includes learning algorithms, architecture design, and implementation of large-scale sys |
| 丛书名称 | Synthesis Lectures on Engineering, Science, and Technology |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2024 |
| 关键词 | Neuromorphic computing; Brain-inspired intelligence; Spiking neural network; Neuromorphic engineering; A |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-57873-1 |
| isbn_softcover | 978-3-031-57875-5 |
| isbn_ebook | 978-3-031-57873-1Series ISSN 2690-0300 Series E-ISSN 2690-0327 |
| issn_series | 2690-0300 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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