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Transition Metal Oxide-Based Memristive Systems

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Transition Metal Oxide-Based Memristive Systems Synopsis

This volume provides a detailed explanation of TMO memristive systems for neuromorphic engineering along with its fundamental theory, its practical characteristics, and hardware implementations. The book consists of fundamental concepts of memristive systems and their significance in various disciplines, including applied physics, neuroscience, computer science, materials science, and other engineering fields. It also provides a broad review of analytical models and simulations of memristive systems with particular emphasis on neuromorphic system designs. Moreover, it will also cover the comprehensive process for realization of realistic memristive systems with memristive properties and their applications in the field of nanotechnology and its aligned areas, intelligent systems, computer vision and large-scale optimization.

Key Features:

  • Reviews fundamental concepts including materials and device aspects, algorithmic aspects, circuits, and architectures.
  • It will cover a broad range of applications such as brain-inspired computing, deep learning, spiking neural networks and hardware security.
  • Interdisciplinary and suitable for material scientists, electrical, computer engineers, and physicists.

About This Edition

ISBN: 9780750348942
Publication date:
Author: Amitesh Kumar, Sanjay Kumar, Shalu Rani
Publisher: IOP Publishing an imprint of Lightning Source
Format: Hardback
Pagination: 250 pages
Series: IOP Ebooks
Genres: Electronic devices and materials
Machine learning
Neural networks and fuzzy systems