Neuromorphic Computing Principles and Organization
暫譯: 神經形態計算原則與組織
Ben Abdallah, Abderazek, Dang, Khanh N.
- 出版商: Springer
- 出版日期: 2025-04-24
- 售價: $3,500
- 貴賓價: 9.5 折 $3,325
- 語言: 英文
- 頁數: 307
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031830881
- ISBN-13: 9783031830884
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商品描述
The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercises to enhance understanding. All existing chapters have been meticulously revised, and a new chapter on advanced neuromorphic prosthesis design serves as a comprehensive case study.
The book starts with an overview of neuromorphic systems and fundamental artificial neural network concepts. It explores artificial neurons, neuron models, storage technologies, inter-neuron communication, learning mechanisms, and design approaches. Detailed discussions cover challenges in constructing spiking neural networks and emerging memory technologies. A dedicated chapter addresses circuits and architectures, including Network-on-Chip (NoC) fabric, Address Event Representation (AER), memory access methods, and photonic interconnects.
Reliability issues, recovery methods for multicore systems, and reconfigurable designs supporting multiple applications are examined. The book also describes the hardware-software design of a three-dimensional neuromorphic processor, focusing on high integration density, minimal spike delay, and scalable design. The book concludes with a comprehensive review of neuromorphic systems, providing a detailed analysis of the field and an overarching understanding of the key concepts discussed throughout the text.
商品描述(中文翻譯)
第二版的《神經形態計算原則與組織》深入探討神經形態計算，專注於為脈衝神經網絡設計容錯且可擴展的硬體。每一章節都包含練習題以增強理解。所有現有章節都經過精心修訂，並新增了一章關於先進神經形態義肢設計的內容，作為一個全面的案例研究。
本書首先概述神經形態系統及基本的人工神經網絡概念。接著探討人工神經元、神經元模型、儲存技術、神經元間通信、學習機制及設計方法。詳細討論涵蓋了構建脈衝神經網絡的挑戰及新興的記憶技術。一個專門的章節針對電路和架構進行探討，包括片上網路（Network-on-Chip, NoC）架構、地址事件表示（Address Event Representation, AER）、記憶體存取方法及光子互連。
本書還檢視了可靠性問題、多核心系統的恢復方法，以及支持多種應用的可重構設計。書中描述了一個三維神經形態處理器的硬體-軟體設計，重點在於高整合密度、最小脈衝延遲及可擴展設計。最後，本書以對神經形態系統的全面回顧作結，提供對該領域的詳細分析及對整個文本中討論的關鍵概念的整體理解。
作者簡介
Dr. Abderazek Ben Abdallah received his Ph.D. in computer engineering from The University of Electro-Communications in Tokyo in 2002. From April 2014to March 2022, he served as the Head of the Computer Engineering Division at the University of Aizu, Japan. Since April 2022, he has held the position of Dean at the School of Computer Science and Engineering at the University of Aizu. Currently, Dr. Ben Abdallah is a Full Professor at the University of Aizu. He is the author of four books and holds six registered and eight provisional Japanese patents. Additionally, he has published over 150 peer-reviewed journal articles and conference papers. His research interests span adaptive and self-organizing systems, neuromorphic computing, interconnection networks, and AI-powered cyber-physical systems. Dr. Ben Abdallah is a Senior Member of both the IEEE and ACM, reflecting his significant contributions to computer engineering.
Dr. Khanh N. Dang currently serves as an Associate Professor in the Department of Computer Science and Engineering at the University of Aizu. He earned his Ph.D. from the University of Aizu and his M.Sc. from the University of Paris XI. Dr. Dang has published numerous peer-reviewed journal articles and presented his work at various conferences. He is also the author of one book and holds several provisional patents in Japan. Dr. Dang's research areas include Network-on-Chips (NoC), 3DIntegrated Circuits (3D-ICs), neuromorphic computing, and fault-tolerant systems. Within these fields, he focuses on developing efficient communication architectures and enhancing the reliability and performance of multi-core processors. In neuromorphic computing, he explores the implementation of brain-inspired algorithms to create more efficient and intelligent systems. He is a member of IEEE.
作者簡介(中文翻譯)
阿布德拉澤克·本·阿卜杜拉博士於2002年在東京電機大學獲得計算機工程博士學位。從2014年4月到2022年3月，他擔任日本會津大學計算機工程系主任。自2022年4月以來，他擔任會津大學計算機科學與工程學院院長。目前，本·阿卜杜拉博士是會津大學的正教授。他是四本書的作者，擁有六項已註冊和八項臨時的日本專利。此外，他已發表超過150篇經過同行評審的期刊文章和會議論文。他的研究興趣涵蓋自適應和自組織系統、類腦計算、互連網絡以及人工智慧驅動的網絡物理系統。本·阿卜杜拉博士是IEEE和ACM的資深會員，反映了他在計算機工程領域的重要貢獻。
鄧漢恩博士目前擔任會津大學計算機科學與工程系的副教授。他在會津大學獲得博士學位，並在巴黎第十一大學獲得碩士學位。鄧博士已發表多篇經過同行評審的期刊文章，並在各種會議上展示他的研究成果。他也是一本書的作者，並在日本擁有幾項臨時專利。鄧博士的研究領域包括片上網絡（Network-on-Chips, NoC）、三維集成電路（3D Integrated Circuits, 3D-ICs）、類腦計算和容錯系統。在這些領域中，他專注於開發高效的通信架構，並提高多核處理器的可靠性和性能。在類腦計算方面，他探索實現受大腦啟發的算法，以創造更高效和智能的系統。他是IEEE的會員。
