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SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured spar...

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured spar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4098622c0c34ca9b6476ac6bec10b13

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity

About this item

Full title

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity

Publisher

Elsevier

Journal title

NeuroImage (Orlando, Fla.), 2017-08, Vol.157, p.157-172

Language

English

Formats

Publication information

Publisher

Elsevier

More information

Scope and Contents

Contents

Over the past decades, a multitude of different brain source imaging algorithms have been developed to identify the neural generators underlying the surface electroencephalography measurements. While most of these techniques focus on determining the source positions, only a small number of recently developed algorithms provides an indication of the...

Alternative Titles

Full title

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e4098622c0c34ca9b6476ac6bec10b13

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4098622c0c34ca9b6476ac6bec10b13

Other Identifiers

E-ISSN

1095-9572

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