| 書目名稱 | Neuromorphic Intelligence | | 副標(biāo)題 | Learning, Architectu | | 編輯 | Shuangming Yang,Badong Chen | | 視頻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 | | 叢書名稱 | Synthesis Lectures on Engineering, Science, and Technology | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-20 11:21
發(fā)表于 2025-3-21 17:10:30
