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Neuromorphic Computing Principles and Organization / by Abderazek Ben Abdallah, Khanh N. Dang.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Ben Abdallah, Abderazek, Author.
Dang, Khanh N., Author.
Series:
Computer Science Series
Language:
English
Subjects (All):
Microprocessors.
Computer architecture.
Database management.
Artificial intelligence.
Computational intelligence.
Processor Architectures.
Database Management System.
Artificial Intelligence.
Computational Intelligence.
Local Subjects:
Processor Architectures.
Database Management System.
Artificial Intelligence.
Computational Intelligence.
Physical Description:
1 online resource (XXXI, 307 p. 139 illus., 103 illus. in color.)
Edition:
2nd ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-83089-X
OCLC:
1517658853

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