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Memristive devices for brain-inspire...

Spiga, Sabina,

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Memristive devices for brain-inspired computingedited by Sabina Spiga ... [et al.].
其他題名:	from materials, devices, and circuits to applications : computational memory, deep learning, and spiking neural networks /
其他作者:	Spiga, Sabina,
出版者:	Duxford ;Woodhead Publishing,2020.
面頁冊數:	1 online resource
標題:	Neural networks (Computer science)
ISBN:	0081027826 (electronic bk.)

Memristive devices for brain-inspired computingfrom 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:

181982
Neural networks (Computer science)
Index Terms--Genre/Form:

214472
Electronic books.

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

Dewey Class. No.: 006.3/2

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