| 书目名称 | Neuromorphic Computing Principles and Organization | | 编辑 | Abderazek Ben Abdallah,Khanh N. Dang | | 视频video | | | 概述 | Defines the limit of the current processor architecture in terms of complexity and power.Describes and discusses the fundamental design method and organization of neuromorphic architecture.Presents a | | 图书封面 |  | | 描述 | This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that needto be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuro | | 出版日期 | Textbook 2022 | | 关键词 | AI accelerators; Computer Architecture; Neuromorphic engineering and design; Neuromorphic processor org | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-92525-3 | | isbn_softcover | 978-3-030-92527-7 | | isbn_ebook | 978-3-030-92525-3 | | 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 16:18:56
