Memristive Devices for Brain-Inspired Computing : From Materials, Devices, and Circuits to Applications Computational Memory, Deep Learning, and Spiking Neural Networks Paperback / softback

Edited by Sabina (Institute for Microelectronics and Microsystems (IMM), National Research Council (CNR Spiga, Abu (Research Staff Member, IBM Research – Zurich, Switzerland) Sebastian, Damien (Centre for Nanoscience and Nanotechnology of Universite Paris-Sud, Orsay, France) Querlioz, Bipin (Reader in Engineering at King's College London, UK.) Rajendran

Part of the Woodhead Publishing Series in Electronic and Optical Materials series

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

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.