Open access peer-reviewed Edited volume

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 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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Memristor and Memristive Neural NetworksEdited by Alex James

Published: April 4th 2018

DOI: 10.5772/66539

ISBN: 978-953-51-3948-5

Print ISBN: 978-953-51-3947-8

chaptersCrossref citationsDownloads

Open access peer-reviewed

1. Physical Models for Resistive Switching Devices

By Luis‐Miguel Procel‐Moya

99

Open access peer-reviewed

2. Graphene Oxide-Based Memristor

By Geetika Khurana, Nitu Kumar, James F. Scott and Ram S. Katiyar

76

Open access peer-reviewed

3. Emulator Circuits and Resistive Switching Parameters of Memristor

By Abdullah Yesil, Fatih Gül and Yunus Babacan

66

Open access peer-reviewed

4. Nanoscale Switching and Degradation of Resistive Random Access Memory Studied by In Situ Electron Microscopy

By Masashi Arita, Atsushi Tsurumaki-Fukuchi and Yasuo Takahashi

72

Open access peer-reviewed

5. Resistive Switching in Metal Oxide/Organic Semiconductor Nonvolatile Memories

By Henrique L. Gomes, Dago M. de Leeuw and Stefan C.J. Meskers

58

Open access peer-reviewed

6. Memristor Emulator Circuit Design and Applications

By Carlos Sánchez-López, Illiani Carro-Pérez, Victor Hugo Carbajal- Gómez, Miguel Angel Carrasco-Aguilar and Francisco Epimenio Morales-López

71

Open access peer-reviewed

7. Simulating Memristive Networks in SystemC-AMS

By Dietmar Fey, Lukas Riedersberger and Marc Reichenbach

59

Open access peer-reviewed

8. Modeling of Coupled Memristive-Based Architectures Applicable to Neural Network Models

By Jason Kamran Jr Eshraghian, Herbert H.C. Iu and Kamran Eshraghian

60

Open access peer-reviewed

9. Mathematical Modeling of Memristors

By Yasin Oğuz

64

Open access peer-reviewed

10. Introduction to Memristive HTM Circuits

By Alex James, Timur Ibrayev, Olga Krestinskaya and Irina Dolzhikova

69

Open access peer-reviewed

11. Review of Recently Progress on Neural Electronics and Memcomputing Applications in Intrinsic SiOx-Based Resistive Switching Memory

By Cheng-Chih Hsieh, Yao-Feng Chang, Ying-Chen Chen, Xiaohan Wu, Meiqi Guo, Fei Zhou, Sungjun Kim, Burt Fowler, Chih-Yang Lin, Chih-Hung Pan, Ting-Chang Chang and Jack C. Lee

81

Open access peer-reviewed

12. Memristor Neural Network Design

By Anping Huang, Xinjiang Zhang, Runmiao Li and Yu Chi

102

Open access peer-reviewed

13. Spike‐Timing‐Dependent Plasticity in Memristors

By Yao Shuai, Xinqiang Pan and Xiangyu Sun

69

Open access peer-reviewed

14. Neural Network-Based Analog-to-Digital Converters

By Aigerim Tankimanova and Alex Pappachen James

66

Edited volume and chapters are indexed in

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  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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