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Memristive Devices for Brain-Inspired Computing: From...

Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials)

Sabina Spiga (editor), Abu Sebastian (editor), Damien Querlioz (editor), Bipin Rajendran (editor)
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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 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.

种类:
年:
2020
出版:
1
出版社:
Woodhead Publishing
语言:
english
页:
564
ISBN 10:
0081027826
ISBN 13:
9780081027820
系列:
Woodhead Publishing Series in Electronic and Optical Materials
文件:
PDF, 15.66 MB
IPFS:
CID , CID Blake2b
english, 2020
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