Pattern recognition with TiO<sub>x</sub>-based memristive devices

Pattern recognition with TiO<sub>x</sub>-based memristive devices

We report on the development of TiO<sub>x</sub>-based memristive devices for bio-inspired neuromorphic systems. In particular, capacitor like structures of Al/AlO<sub>x</sub>/TiO<sub>x</sub>/Al with, respectively 20 nm and 50 nm thick TiO<sub>x</sub>-l...

Full description

Bibliographic Details
Main Authors: Finn Zahari, Mirko Hansen, Thomas Mussenbrock, Martin Ziegler, Hermann Kohlstedt
Format: Article
Language:English
Published: AIMS Press 2015-07-01
Series:AIMS Materials Science
Subjects:
memristive devices
neuromorphic
synaptic plasticity
spiking neural networks
unsupervised learning
Online Access:http://www.aimspress.com/Materials/article/327/fulltext.html

Internet

http://www.aimspress.com/Materials/article/327/fulltext.html

Similar Items