{"product_id":"9783030925277-neuromorphic-computing-principles-orga","title":"Neuromorphic Computing Principles and Organization","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eThis 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.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eMAIN MATERIAL: 100% Polyester \u0026amp; Coral Fleece\u003c\/li\u003e\n\u003cli\u003eSIZE: 6' X 9'(180CM * 270CM)(70.9\" X 106\")\u003c\/li\u003e\n\u003cli\u003eSUPER SOFT AND COMFORTABLE: This modern area rug is machine woven with breathable point plastic anti-slip bottom prevent the rug from sliding. Super soft comfortable and skin-friendly coral fleece Non Shedding promotes an incredibly soft feeling underfoot. Ensure safety and Good for your health .\u003c\/li\u003e\n\u003cli\u003eEASY CLEAN AND DRYING FAST: Strong water absorption, easy-care and virtually non-shedding rug, It easy to clean and dry fast, very durable, non-slip and can machine washable. As a Portable rug, you can makes it easy to take outside to shake the dirt out, Or vacuum it with a low-power handheld vacuum. Machine Wash Method: wash the rug in cold water on gentle {delicate} short cycle then lay it flat to dry.\u003c\/li\u003e\n\u003cli\u003eMULTI-FUNCTION \u0026amp; USE OCCASION: 100% Non-Toxic \u0026amp; Hypoallergenic and good for your health, The contemporary area rug adds the perfect modern touch to your space. That's timeless designs stand out in any room; Suitable for home decorate, children play, women yoga and pets carpet. Ensuring it will be a favorite for a long time.\u003c\/li\u003e\n\u003c\/ul\u003ePRODUCT DESCRIPTION \u003cbr\u003e 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 need to 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 neuromorphic computing are then given.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eA particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain's three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eNeuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e FROM THE BACK COVER \u003cbr\u003e 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 need to 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 neuromorphic computing are then given.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eA particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain's three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eNeuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e ABOUT THE AUTHOR \u003cbr\u003e \u003cbr\u003e\u003cbr\u003eAbderazek Ben Abdallah is a Full Professor of Computer Science and Engineering, University of Aizu, Aizu-Wakamatus, Japan, since April 2014. He has more than 20- years of experience in research and education of computer systems design and adaptive brain-inspired computing systems. His current research interest lies in studying neural processing systems with a particular focus on spike-based neural network dynamics and spike-based learning. He has authored three books, holds 4 registered and 5 pending Japanese patents, received numerous awards, and published more than 160 journal articles and conference papers.\u003cbr\u003e\u003cbr\u003eKhanh N. Dang received his Ph.D. degree from The University of Aizu, Japan in 2017. Since 2017, he has been an assistant professor at VNU Key Laboratory for Smart Integrated Systems, VNU University of Engineering and Technology, Vietnam National University Hanoi (VNU), Hanoi Vietnam. He was a visiting researcher at the University of Aizu in 2019 and 2020-2021. His research interests include neuromorphic computing, 3D Integrated Circuits technology, AI for CAD, and fault-tolerance.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eSee more\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":40877232717921,"sku":"9783030925277","price":56.98,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_27984463.jpg?v=1722242161","url":"https:\/\/www.rarewaves.com\/products\/9783030925277-neuromorphic-computing-principles-orga","provider":"Rarewaves.com","version":"1.0","type":"link"}