Memristive Devices for Brain Inspired Computing
  • Release Date : 12 June 2020
  • Publisher : Woodhead Publishing
  • Categories : Technology & Engineering
  • Pages : 564 pages
  • ISBN 13 : 9780081027875
  • ISBN 10 : 0081027877
Score: 4
From 245 Ratings
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Synopsis : Memristive Devices for Brain Inspired Computing written by Sabina Spiga, published by Woodhead Publishing which was released on 12 June 2020. Download Memristive Devices for Brain Inspired Computing Books now! Available in PDF, EPUB, Mobi Format. 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. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field

Neuronal Dynamics

Neuronal Dynamics

Author : Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publisher : Cambridge University Press
Category : Computers
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