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Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybri...

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybri...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e7620ffc92e24f658a190c1e63148c08

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

About this item

Full title

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in neuroscience, 2015-12, Vol.9, p.488-488

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of precision. Major shortcomings affecting the ADC's p...

Alternative Titles

Full title

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e7620ffc92e24f658a190c1e63148c08

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e7620ffc92e24f658a190c1e63148c08

Other Identifiers

ISSN

1662-4548,1662-453X

E-ISSN

1662-453X

DOI

10.3389/fnins.2015.00488

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