| 书目名称 | Neuromorphic Cognitive Systems | | 副标题 | A Learning and Memor | | 编辑 | Qiang Yu,Huajin Tang,Kay‘Tan Chen | | 视频video | | | 概述 | Discusses the computational principles underlying spike-based information processing and cognitive computation with a specific focus on learning and memory.Describes theoretical modeling and analysis | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 描述 | This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. .The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed...The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation pla | | 出版日期 | Book 2017 | | 关键词 | Cognitive Memory; Intelligent Systems; Neural Coding; Neuromorphic Cognitive Systems; Neuromorphic Compu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-55310-8 | | isbn_softcover | 978-3-319-85625-4 | | isbn_ebook | 978-3-319-55310-8Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 18:45:45
