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Handbook of Memristor Networks

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Table of Contents

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    Book Overview
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    Chapter 1 The Fourth Element
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    Chapter 2 If It’s Pinched It’s a Memristor
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    Chapter 3 Everything You Wish to Know About Memristors but Are Afraid to Ask
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    Chapter 4 Aftermath of Finding the Memristor
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    Chapter 5 Three Fingerprints of Memristor
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    Chapter 6 Resistance Switching Memories are Memristors
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    Chapter 7 The Detectors Used in the First Radios were Memristors
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    Chapter 8 Why are Memristor and Memistor Different Devices?
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    Chapter 9 The Art and Science of Constructing a Memristor Model: Updated
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    Chapter 10 Memristor, Hodgkin-Huxley, and Edge of Chaos
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    Chapter 11 Brains Are Made of Memristors
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    Chapter 12 Synapse as a Memristor
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    Chapter 13 Memristors and Memristive Devices for Neuromorphic Computing
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    Chapter 14 Self-organization and Emergence of Dynamical Structures in Neuromorphic Atomic Switch Networks
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    Chapter 15 Spike-Timing-Dependent-Plasticity with Memristors
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    Chapter 16 Designing Neuromorphic Computing Systems with Memristor Devices
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    Chapter 17 Brain-Inspired Memristive Neural Networks for Unsupervised Learning
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    Chapter 18 Neuromorphic Devices and Networks Based on Memristors with Ionic Dynamics
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    Chapter 19 Associative Enhancement and Its Application in Memristor Based Neuromorphic Devices
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    Chapter 20 Organic Memristive Devices and Neuromorphic Circuits
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    Chapter 21 Bio-inspired Neural Networks
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    Chapter 22 Memristor Bridge-Based Artificial Neural Weighting Circuit
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    Chapter 23 Cellular Nonlinear Networks with Memristor Synapses
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    Chapter 24 Evolving Memristive Neural Networks
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    Chapter 25 Spiking Neural Computing in Memristive Neuromorphic Platforms
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    Chapter 26 Associative Networks Associative networks  and Perceptron Perceptron  Based on Memristors Memristors : Fundamentals and Algorithmic Algorithmic  Implementation
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    Chapter 27 Spiking in Memristor Networks
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    Chapter 28 Three-Dimensional Crossbar Arrays of Self-rectifying Si/SiO 2 /Si Memristors
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    Chapter 29 The Self-directed Channel Memristor: Operational Dependence on the Metal-Chalcogenide Layer
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    Chapter 30 Resistive Switching Devices: Mechanism, Performance and Integration
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    Chapter 31 Behavior of Multiple Memristor Circuits
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    Chapter 32 A Memristor-Based Chaotic System with Boundary Conditions
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    Chapter 33 Switching Synchronization and Metastable States in 1D Memristive Networks
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    Chapter 34 Modeling Memristor–Based Circuit Networks on Crossbar Architectures
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    Chapter 35 Memristive In Situ Computing
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    Chapter 36 Memory Effects in Multi-terminal Solid State Devices and Their Applications
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    Chapter 37 A Taxonomy and Evaluation Framework for Memristive Logic
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    Chapter 38 Memristive Stateful Logic
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    Chapter 39 Memristor-Based Addition and Multiplication
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    Chapter 40 Memristor Emulators
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    Chapter 41 Computing Shortest Paths in 2D and 3D Memristive Networks
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    Chapter 42 Computing Image and Motion with 3-D Memristive Grids
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    Chapter 43 Solid-State Memcapacitors and Their Applications
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    Chapter 44 Reaction-Diffusion Media with Excitable Oregonators Coupled by Memristors
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    Chapter 45 Mimicking Physarum Space Exploration with Networks of Memristive Oscillators
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    Chapter 46 Autowaves in a Lattice of Memristor-Based Cells
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    Chapter 47 Memristor Cellular Automata and Memristor Discrete-Time Cellular Neural Networks
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Title
Handbook of Memristor Networks
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-319-76375-0
ISBNs
978-3-31-976374-3, 978-3-31-976375-0
Editors

Chua, Leon, Sirakoulis, Georgios Ch., Adamatzky, Andrew

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Student > Master 7 11%
Unspecified 5 8%
Student > Bachelor 5 8%
Professor 2 3%
Other 9 14%
Unknown 18 28%
Readers by discipline Count As %
Engineering 21 33%
Physics and Astronomy 7 11%
Unspecified 4 6%
Computer Science 4 6%
Materials Science 3 5%
Other 7 11%
Unknown 18 28%