Memristor Networks / edited by Andrew Adamatzky, Leon Chua.

Format:

Book

Contributor:

Adamatzky, Andrew, editor.

Chua, Leon, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Computer hardware.

Computers.

Electronic circuits.

Computer Hardware.

Theory of Computation.

Circuits and Systems.

Local Subjects:

Computer Hardware.

Theory of Computation.

Circuits and Systems.

Physical Description:

1 online resource (XVII, 720 pages) : 451 illustrations, 283 illustrations in color

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits, and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks, and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

Contents:

Preface

The Fourth Element

Aftermath of Finding the Memristor

Resistance Switching Memories are Memristors

The Detectors Used in the First Radios were Memristors

Memristor, Hodgkin-Huxley and Edge of Chaos

Why are Memristor and Memistor Different Devices?

Synapse as a Memristor

Memristors and Memristive Devices for Neuromorphic Computing

Bio-inspired Neural Networks

Self-organization and Emergence of Dynamical Structures in Neuromorphic Atomic Switch Networks

Spike-Timing-Dependent-Plasticity with Memristors

Memristor Bridge-based Artificial Neural Weighting Circuit

Cellular Nonlinear Networks with Memristor Synapses

Evolving Memristive Neural Networks

Behavior of Multiple Memristor Circuits

Memristor-Based Chaotic System with Boundary Conditions

Spiking in Memristor Networks

Organic Memristive Devices and Neuromorphic Circuits

Memristive in situ Computing

Memory Effects in Multi-Terminal Solid State Devices and their Applications

Memristor-Based Addition and Multiplication

Memristor Emulators

Modeling Memristor-based Circuit Networks on Crossbar Architectures

Computing Shortest Paths in 2D and 3D Memristive Networks

Computing Image and Motion with 3-D Memristive Grids

Solid-State Memcapacitors and their Applications

Memristive Stateful Logic

Reaction-Diffusion Media with Excitable Oregonators Coupled by Memristors

Autowaves in a Lattice of Memristor-based Cells

Memristor Cellular Automata and Memristor Discrete-Time Cellular Neural Networks

Index.

Other Format:

Printed edition:

ISBN:

978-3-319-02630-5

9783319026305

Access Restriction:

Restricted for use by site license.