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Neuromorphic computing principles and organization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neuromorphic computing principles and organizationby Abderazek Ben Abdallah, Khanh N. Dang.
作者:	Ben Abdallah, Abderazek.
其他作者:	Dang, Khanh N.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xxxi, 307 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Neural networks (Computer science)
電子資源:	https://doi.org/10.1007/978-3-031-83089-1
ISBN:	9783031830891$q(electronic bk.)

Neuromorphic computing principles and organization
Ben Abdallah, Abderazek.

Neuromorphic computing principles and organization[electronic resource] /by Abderazek Ben Abdallah, Khanh N. Dang. - Second edition. - Cham :Springer Nature Switzerland :2025. - xxxi, 307 p. :ill. (chiefly color), digital ;24 cm.

Foundations of Neuromorphic Computing -- Neuromorphic System Design Fundamentals -- Learning in Neuromorphic Computing Systems -- Emerging Memory Devices for Neuromorphic Systems -- Communication Networks for Neuromorphic Systems -- Fault-Tolerant Neuromorphic System Design -- Reconfigurable Neuromorphic Computing Systems -- Practical Design and Implementation of 3D-NoC-Based NeuromorphicSystem (RNASH) -- Case Study: Advanced Neuromorphic Prosthetic Design -- Comprehensive Review of Neuromorphic Systems -- Index.

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.

ISBN: 9783031830891$q(electronic bk.)

Standard No.: 10.1007/978-3-031-83089-1doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

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520 $a 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.
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