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OverviewThe brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications. The book presents neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. It zooms in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book covers the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework. Full Product DetailsAuthor: Elishai Ezra TsurPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.680kg ISBN: 9780367676803ISBN 10: 036767680 Pages: 330 Publication Date: 27 August 2021 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPart 1. Introduction and overview. 1. The Scientist Perspective. 2. Introducing the perspective of the computer architect. 3. Introducing the perspective of the algorithm designer. Part 2. The Scientist's Perspective. 4. Biological description of neuronal dynamic. 5. Models of point neuronal dynamic. 6. Models of morphologically detailed neurons. 7. Models of network dynamic and learning. Part 3. The Computer Architect's Perspective. 8. Neuromorphic hardware. 9. Communication and hybrid circuit design. 10. In-memory computing with memristors. Part 4. The Algorithms Designer's Perspective. 11. Introduction to neuromorphic programming. 12. The Neural Engineering Framework (NEF). 13. Learning spiking neural networks.ReviewsAuthor InformationDr. Elishai Ezra Tsur is the principal investigator at the Neuro & Biomorphic Engineering Lab (NBEL-lab.com) and an Assistant Professor at the Open University of Israel. Elishai Holds degrees in Life sciences (B.Sc), Philosophy and History (B.A), Computer Science (M.Sc), Bioengineering (M.Sc, Ph.D.), and Computational Neuroscience (Post Doc). Tab Content 6Author Website:Countries AvailableAll regions |
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