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Memristive devices for brain-inspired computing : from materials, devices, and circuits to applications : computational memory, deep learning, and spiking neural networks /

Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brai...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Spiga, Sabina (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Duxford ; Cambridge, MA : Woodhead Publishing, [2020]
Colección:Woodhead Publishing series in electronic and optical materials
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 0081027877  |q (electronic bk.) 
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050 4 |a QA76.87  |b .M46 2020 
082 0 4 |a 006.3/2  |2 23 
245 0 0 |a Memristive devices for brain-inspired computing :  |b from materials, devices, and circuits to applications : computational memory, deep learning, and spiking neural networks /  |c edited by Sabina Spiga [and three others]. 
264 1 |a Duxford ;  |a Cambridge, MA :  |b Woodhead Publishing,  |c [2020] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Woodhead Publishing series in electronic and optical materials 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from digital title page (viewed on June 30, 2020). 
520 |a Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks 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. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. 
650 0 |a Neural networks (Computer science) 
650 0 |a Memristors. 
650 2 |a Neural Networks, Computer  |0 (DNLM)D016571 
650 6 |a R�eseaux neuronaux (Informatique)  |0 (CaQQLa)201-0209597 
650 6 |a Memristances.  |0 (CaQQLa)000281637 
650 7 |a Memristors  |2 fast  |0 (OCoLC)fst01894553 
650 7 |a Neural networks (Computer science)  |2 fast  |0 (OCoLC)fst01036260 
700 1 |a Spiga, Sabina,  |e editor. 
776 0 8 |i Print version:  |z 0081027826  |z 9780081027820  |w (OCoLC)1102156713 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780081027820  |z Texto completo