{"product_id":"memristive-devices-for-brain-inspired-computing-from-materials-devices-and-circuits-to-applications-computational-memory-deep-learning-and-spiking-neural-networks-paperback-9780081027820","title":"Memristive Devices for Brain-Inspired Computing; From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks (Paperback \/ softback) 9780081027820","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMemristive Devices for Brain-Inspired Computing\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFrom Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003e\u003cp\u003eProvides the fundamental principles of emerging interdisciplinary research on material and device engineering for optimizing resistive memory devices\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSabina Spiga (Edited by), Abu Sebastian (Edited by), Damien Querlioz (Edited by), Bipin Rajendran (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780081027820\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 12 June 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e564 pages, 285 illustrations (60 in full color)\u003cbr\u003e22.9 x 15.1 x 3.5 cm, 0.91 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eMemristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks\u003c\/i\u003e reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning.\u003c\/p\u003e  \u003cp\u003eThis comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003ePart I Memristive devices for brain–inspired computing\u003c\/b\u003e 1. Role of resistive memory devices in brain-inspired computing  2. Resistive switching memories  3. Phase change memories 4. Magnetic and Ferroelectric memories 5. Selectors for resistive memory devices\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Computational Memory\u003c\/b\u003e 6. Memristive devices as computational memory  7. Logical operations 8. Hyperdimensional Computing Nanosystem: In-memory Computing using Monolithic 3D Integration of RRAM and CNFET 9. Matrix vector multiplications using memristive devices and applications thereof 10. Computing with device dynamics  11. Exploiting stochasticity for computing\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Deep learning\u003c\/b\u003e 12. Memristive devices for deep learning applications  13. PCM based co-processors for deep learning   14. RRAM based co-processors for deep learning\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Spiking neural networks\u003c\/b\u003e 15. Memristive devices for spiking neural networks  16. Neuronal realizations based on memristive devices 17. Synaptic realizations based on memristive devices  18. Neuromorphic co-processors and experimental demonstrations  19. Recent theoretical developments and applications of spiking neural networks\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e], Materials science [\u003ca title=\"See our other books on Materials science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Materials%20science%20%5BTGM%5D%22\"\u003eTGM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649167642904,"sku":"9780081027820","price":129.39,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780081027820.jpg?v=1695006491","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/memristive-devices-for-brain-inspired-computing-from-materials-devices-and-circuits-to-applications-computational-memory-deep-learning-and-spiking-neural-networks-paperback-9780081027820","provider":"Freshly Printed Books","version":"1.0","type":"link"}