Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data

Abstract Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquired while 19 participants were exposed to those stimuli. The structure of the chains generating the stimuli are c...

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Autores principales:	Noslen Hernández, Aline Duarte, Guilherme Ost, Ricardo Fraiman, Antonio Galves, Claudia D. Vargas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a8dec49721374734b691a88c51d2211c
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spelling	oai:doaj.org-article:a8dec49721374734b691a88c51d2211c2021-12-02T13:30:18ZRetrieving the structure of probabilistic sequences of auditory stimuli from EEG data10.1038/s41598-021-83119-x2045-2322https://doaj.org/article/a8dec49721374734b691a88c51d2211c2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83119-xhttps://doaj.org/toc/2045-2322Abstract Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquired while 19 participants were exposed to those stimuli. The structure of the chains generating the stimuli are characterized by rooted and labeled trees whose leaves, henceforth called contexts, represent the sequences of past stimuli governing the choice of the next stimulus. A classical conjecture claims that the brain assigns probabilistic models to samples of stimuli. If this is true, then the context tree generating the sequence of stimuli should be encoded in the brain activity. Using an innovative statistical procedure we show that this context tree can effectively be extracted from the EEG data, thus giving support to the classical conjecture.Noslen HernándezAline DuarteGuilherme OstRicardo FraimanAntonio GalvesClaudia D. VargasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Noslen Hernández Aline Duarte Guilherme Ost Ricardo Fraiman Antonio Galves Claudia D. Vargas Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
description	Abstract Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquired while 19 participants were exposed to those stimuli. The structure of the chains generating the stimuli are characterized by rooted and labeled trees whose leaves, henceforth called contexts, represent the sequences of past stimuli governing the choice of the next stimulus. A classical conjecture claims that the brain assigns probabilistic models to samples of stimuli. If this is true, then the context tree generating the sequence of stimuli should be encoded in the brain activity. Using an innovative statistical procedure we show that this context tree can effectively be extracted from the EEG data, thus giving support to the classical conjecture.
format	article
author	Noslen Hernández Aline Duarte Guilherme Ost Ricardo Fraiman Antonio Galves Claudia D. Vargas
author_facet	Noslen Hernández Aline Duarte Guilherme Ost Ricardo Fraiman Antonio Galves Claudia D. Vargas
author_sort	Noslen Hernández
title	Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
title_short	Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
title_full	Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
title_fullStr	Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
title_full_unstemmed	Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
title_sort	retrieving the structure of probabilistic sequences of auditory stimuli from eeg data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a8dec49721374734b691a88c51d2211c
work_keys_str_mv	AT noslenhernandez retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata AT alineduarte retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata AT guilhermeost retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata AT ricardofraiman retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata AT antoniogalves retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata AT claudiadvargas retrievingthestructureofprobabilisticsequencesofauditorystimulifromeegdata
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Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data

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