Log in to save to my catalogue

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Pattern classification by memristive crossbar circuits using ex situ and in situ training

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_00871928v1

Pattern classification by memristive crossbar circuits using ex situ and in situ training

About this item

Full title

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2013-06, Vol.4 (1), p.2072-2072, Article 2072

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Memristors are memory resistors that promise the efficient implementation of synaptic weights in artificial neural networks. Whereas demonstrations of the synaptic operation of memristors already exist, the implementation of even simple networks is more challenging and has yet to be reported. Here we demonstrate pattern classification using a singl...

Alternative Titles

Full title

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_hal_primary_oai_HAL_hal_00871928v1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_00871928v1

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/ncomms3072

How to access this item