Memristor and Memristive Neural Networks

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvo...

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

Order Print Copy Recommend to Your Library

Your name

Your email address

Your Library’s email address

Department

Institution/Company

Loading...

Country

Loading...

Message of recommendation Dear Librarian, I would like to recommend the following IntechOpen book to be added to our library catalog: TITLE: 'Memristor and Memristive Neural Networks' PRINT ISBN: 978-953-51-3947-8 Libraries are offered a 20% discount on retail book prices. For a quote, please contact the IntechOpen Print Sales Department directly at orders@intechopen.com Best regards.

I recommend this publication for the following reasons

Loading...

By submitting the form you agree to IntechOpen using your personal information in order to fulfil your library recommendation. In line with our privacy policy we won’t share your details with any third parties and will discard any personal information provided immediately after the recommended institution details are received. For further information on how we protect and process your personal information, please refer to our privacy policy.

Submit