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100   $a20250423d2025      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aNeuromorphic Computing Principles and Organization /$fby Abderazek Ben Abdallah, Khanh N. Dang
205   $a2nd ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (XXXI, 307 p. 139 illus., 103 illus. in color.) 
311 08$a3-031-83088-1 
327   $aFoundations 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.
330   $aThe 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.
606   $aMicroprocessors
606   $aComputer architecture
606   $aDatabase management
606   $aArtificial intelligence
606   $aComputational intelligence
606   $aProcessor Architectures
606   $aDatabase Management System
606   $aArtificial Intelligence
606   $aComputational Intelligence
615  0$aMicroprocessors.
615  0$aComputer architecture.
615  0$aDatabase management.
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
615 14$aProcessor Architectures.
615 24$aDatabase Management System.
615 24$aArtificial Intelligence.
615 24$aComputational Intelligence.
676   $a004.22
700   $aBen Abdallah$b Abderazek$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058506
702   $aDang$b Khanh N$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
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906   $aBOOK
912   $a9910999794503321
996   $aNeuromorphic computing principles and organization$92994031
997   $aUNINA