Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Memristive Devices for Brain-Inspired Computing : From Materials, Devices, and Circuits to Applications Computational Memory, Deep Learning, and Spiking Neural Networks, Paperback / softback Book

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.

Information

£195.00

Available to Order - This title is available to order, with delivery expected within 2 weeks
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Woodhead Publishing Series in Electronic and Optical Materials series  |  View all

Porous Nanocomposites for...

£200.00

Pre-Order

Semiconducting Polymer Materials for...

£240.00

Pre-Order

Smart and Connected Wearable Electronics

£205.00

Add to Basket

Zero-Dimensional Carbon Nanomaterials

£215.00

Add to Basket