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Titlebook: Neuromorphic Intelligence; Learning, Architectu Shuangming Yang,Badong Chen Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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發(fā)表于 2025-3-21 17:10:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neuromorphic Intelligence
副標(biāo)題Learning, Architectu
編輯Shuangming Yang,Badong Chen
視頻videohttp://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Titlebook: Neuromorphic Intelligence; Learning, Architectu Shuangming Yang,Badong Chen Book 2024 The Editor(s) (if applicable) and The Author(s), unde
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
doihttps://doi.org/10.1007/978-3-031-57873-1
isbn_softcover978-3-031-57875-5
isbn_ebook978-3-031-57873-1Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:19:49 | 只看該作者
Book 2024d 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
板凳
發(fā)表于 2025-3-22 00:38:28 | 只看該作者
地板
發(fā)表于 2025-3-22 06:17:02 | 只看該作者
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發(fā)表于 2025-3-22 09:40:07 | 只看該作者
Synthesis Lectures on Engineering, Science, and Technologyhttp://image.papertrans.cn/n/image/664239.jpg
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發(fā)表于 2025-3-22 16:35:33 | 只看該作者
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發(fā)表于 2025-3-22 21:03:52 | 只看該作者
Introduction of Neuromorphic Intelligence,Neuromorphic intelligence is a rapidly evolving field of research that draws inspiration from the structure and function of the brain to develop novel computational models and systems.
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發(fā)表于 2025-3-23 00:41:52 | 只看該作者
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發(fā)表于 2025-3-23 03:29:29 | 只看該作者
Spike-Based Learning with Information Theory,Information theory is a branch of mathematics that studies the quantification, storage, and communication of information [1].
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發(fā)表于 2025-3-23 07:46:17 | 只看該作者
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