| 书目名称 | Neuromorphic Intelligence | | 副标题 | Learning, Architectu | | 编辑 | Shuangming Yang,Badong Chen | | 视频video | | | 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 |
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发表于 2025-3-21 17:10:30
