Logo

Memristor and Memristive Neural Networks

Small book cover: Memristor and Memristive Neural Networks

Memristor and Memristive Neural Networks
by

Publisher: InTech
ISBN-13: 9789535139485
Number of pages: 324

Description:
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. 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.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Neural NetworksNeural Networks
by - King's College London
These notes are based on lectures given in the Mathematics Department at King's College London. An attempt has been made to present a logical (mathematical) account of some of the basic ideas of the 'artificial intelligence' aspects of the subject.
(13206 views)
Book cover: Recurrent Neural NetworksRecurrent Neural Networks
by - InTech
The concept of neural network originated from neuroscience, and one of its aims is to help us understand the principle of the central nerve system through mathematical modeling. The first part of the book is dedicated to this aim.
(11684 views)
Book cover: Encyclopedia of Computational NeuroscienceEncyclopedia of Computational Neuroscience
by - Scholarpedia
Neuroscience, Electrophysiology, Neuron, Network Dynamics, Brain Models, Synapse, Memory, Conditioning, Consciousness, Vision, Olfaction, Neuroimaging, Dynamical Systems, Oscillators, Synchronization, Pattern Formation, Chaos, Bifurcations, etc.
(14694 views)
Book cover: From Complexity to CreativityFrom Complexity to Creativity
by - Plenum Press
This text applies the concepts of complexity science to provide an explanation of all aspects of human creativity. The book describes the model that integrates ideas from computer science, mathematics, neurobiology, philosophy, and psychology.
(13319 views)