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Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal...

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e9a4a252a2c4dfc81f8f5b0a7f75fab

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

About this item

Full title

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in computational neuroscience, 2014-07, Vol.8, p.75-75

Language

English

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Publication information

Publisher

Switzerland: Frontiers Research Foundation

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Scope and Contents

Contents

Granger causality (GC) is a powerful method for causal inference for time series. In general, the GC value is computed using discrete time series sampled from continuous-time processes with a certain sampling interval length τ, i.e., the GC value is a function of τ. Using the GC analysis for the topology extraction of the simplest integrate-and-fir...

Alternative Titles

Full title

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e9a4a252a2c4dfc81f8f5b0a7f75fab

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e9a4a252a2c4dfc81f8f5b0a7f75fab

Other Identifiers

ISSN

1662-5188

E-ISSN

1662-5188

DOI

10.3389/fncom.2014.00075

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