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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Memristive devices for brain-inspired computing/ edited by Sabina Spiga ... [et al.].
Reminder of title:	from materials, devices, and circuits to applications : computational memory, deep learning, and spiking neural networks /
other author:	Spiga, Sabina,
Published:	Duxford ;Woodhead Publishing, : 2020.,
Description:	1 online resource
Subject:	Neural networks (Computer science) -
ISBN:	0081027826 (electronic bk.)

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 computingfrom materials, devices, and circuits to applications : computational memory, deep learning, and spiking neural networks /[electronic resource] :edited by Sabina Spiga ... [et al.]. - Duxford ;Woodhead Publishing,2020. - 1 online resource - Woodhead Publishing series in electronic and optical materials.

Includes bibliographical references and index.

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.

ISBN: 0081027826 (electronic bk.)Subjects--Topical Terms:

528588
Neural networks (Computer science)
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.87 / .M46 2020

Dewey Class. No.: 006.3/2

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