Towards Neuromorphic Machine Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Towards Neuromorphic Machine Intelligence write by Hong Qu. This book was released on 2024-06-28. Towards Neuromorphic Machine Intelligence available in PDF, EPUB and Kindle. Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNN), which is a burgeoning research branch of Artificial Neural Networks (ANN), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering. This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the development of new Machine Learning and AI paradigms. There are many excellent theoretical achievements in neuron models, learning algorithms, network architecture and so on. But these achievements are numerous and scattered, with a lack of straightforward systematic integration, making it difficult for researchers to assimilate and apply. As the third generation of Artificial Neural Networks (ANN), Spiking Neural Networks (SNN) simulate the neuron dynamics and information transmission in a biological neural system in more detail, which is a cross-product of computer science and neuroscience. The primary target audience of this book is divided into two categories: artificial intelligence researchers who know nothing about SNN, and researchers who know a lot about SNN. The former needs to acquire fundamental knowledge of SNN, but the challenge is that a large number of existing literatures on SNN only slightly mention the basic knowledge of SNN, or are too superficial, and this book gives a systematic explanation from scratch. The latter needs to learn about some novel research achievements in the field of SNN, and this book introduces the latest research results on different aspects of SNN and provides detailed simulation processes to facilitate readers' replication. In addition, the book introduces neuromorphic hardware architecture as a further extension of the SNN system. The book starts with the birth and development of SNN, and then introduces the main research hotspots, including spiking neuron models, learning algorithms, network architectures, and neuromorphic hardware. Therefore, the book provides readers with easy access to both the foundational concepts and recent research findings in SNN. Introduces Spiking Neural Networks (SNN), a new generation of biologically inspired artificial intelligence Systematically presents basic concepts of SNN, neuron and network models, learning algorithms, and neuromorphic hardware Introduces the latest research results on various aspects of SNN and provides detailed simulation processes to facilitate readers' replication
Neuromorphic Devices for Brain-inspired Computing
Neuromorphic Devices for Brain-inspired Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuromorphic Devices for Brain-inspired Computing write by Qing Wan. This book was released on 2022-05-16. Neuromorphic Devices for Brain-inspired Computing available in PDF, EPUB and Kindle. Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications write by Christos Volos. This book was released on 2021-06-17. Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications available in PDF, EPUB and Kindle. Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence
Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning
Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning write by Lei Deng. This book was released on 2021-05-05. Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning available in PDF, EPUB and Kindle.
Neuromorphic Intelligence
Neuromorphic Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuromorphic Intelligence write by Shuangming Yang. This book was released on . Neuromorphic Intelligence available in PDF, EPUB and Kindle.
