Memristor and Memristive Neural Networks

Front Cover
Alex James
BoD – Books on Demand, Apr 4, 2018 - Computers - 324 pages
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.
 

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Contents

Graphene OxideBased Memristor
19
Emulator Circuits and Resistive Switching Parameters
41
Nanoscale Switching and Degradation of Resistive Random
63
Resistive Switching in Metal OxideOrganic Semiconductor
93
Memristor Emulator Circuit Design and Applications
115
Simulating Memristive Networks in SystemCAMS
147
Modeling of Coupled MemristiveBased Architectures
167
Mathematical Modeling of Memristors
187
Introduction to Memristive HTM Circuits
209
Review of Recently Progress on Neural Electronics
227
Memristor Neural Network Design
249
SpikeTimingDependent Plasticity in Memristors
283
Neural NetworkBased AnalogtoDigital Converters
297
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