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Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8205df68ea0c40e88455dee99edc8d82

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update

About this item

Full title

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in computational neuroscience, 2021-03, Vol.15, p.646125

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

Among many artificial neural networks, the research on Spike Neural Network (SNN), which mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor is a promising candidate as a synaptic component for hardware implementation of SNN, but several non-ideal device properties are making it challengeable. In this work,...

Alternative Titles

Full title

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8205df68ea0c40e88455dee99edc8d82

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8205df68ea0c40e88455dee99edc8d82

Other Identifiers

ISSN

1662-5188

E-ISSN

1662-5188

DOI

10.3389/fncom.2021.646125

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