Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
About this item
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Author / Creator
Publisher
Boston: Springer US
Journal title
Language
English
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Publisher
Boston: Springer US
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Scope and Contents
Contents
Understanding causal relationships, or effective connectivity, between parts of the brain is of utmost importance because a large part of the brain’s activity is thought to be internally generated and, hence, quantifying stimulus response relationships alone does not fully describe brain dynamics. Past efforts to determine effective connectivity mo...
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Full title
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Authors, Artists and Contributors
Author / Creator
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3040354
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3040354
Other Identifiers
ISSN
0929-5313
E-ISSN
1573-6873
DOI
10.1007/s10827-010-0262-3
