Log in to save to my catalogue

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiologic...

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiologic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0ee5b7a729de4f168ed3efcfceeb2daf

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data

About this item

Full title

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2025-01, Vol.21 (1), p.e1012765

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this task. We address this issue by using a new clustering procedure for sets of electroencephalographic (EEG) data re...

Alternative Titles

Full title

Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0ee5b7a729de4f168ed3efcfceeb2daf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0ee5b7a729de4f168ed3efcfceeb2daf

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1012765

How to access this item