Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spik
Paperback 575 pages English Jun 12, 2020
(No reviews yet)
Write a Review
Write a Review
Woodhead Publishing
Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spik
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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.
- Author:
- Sabina Spiga, Abu Sebastian, Bipin Rajendran, Damien Querlioz
- Publisher:
- Woodhead Publishing
- Publication Date:
- Jun 12, 2020
- Number of pages:
- 575 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 0081027826
- ISBN-13:
- 9780081027820