Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
Resumen:
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.
| 2021 | |
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EEG data Probabilistic sequences Auditory stimuli |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/33427 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522792748351488 |
|---|---|
| author | Hernández, Noslen |
| author2 | Duarte, Aline Ost, Guilherme Fraiman, Ricardo Galves, Antonio Vargas, Claudia D. |
| author2_role | author author author author author |
| author_facet | Hernández, Noslen Duarte, Aline Ost, Guilherme Fraiman, Ricardo Galves, Antonio Vargas, Claudia D. |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Hernández Noslen Duarte Aline Ost Guilherme Fraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática. Galves Antonio Vargas Claudia D. |
| dc.creator.none.fl_str_mv | Hernández, Noslen Duarte, Aline Ost, Guilherme Fraiman, Ricardo Galves, Antonio Vargas, Claudia D. |
| dc.date.accessioned.none.fl_str_mv | 2022-08-30T13:59:33Z |
| dc.date.available.none.fl_str_mv | 2022-08-30T13:59:33Z |
| dc.date.issued.none.fl_str_mv | 2021 |
| dc.description.abstract.none.fl_txt_mv | 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. |
| dc.description.es.fl_txt_mv | Existe información adicional en: http://doi.org/10.1038/s41598-021-83119-x |
| dc.format.extent.es.fl_str_mv | 15 h |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Hernández, N, Duarte, A, Ost, G [y otros autores]. "Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data". Scientific Reports. [en línea] 2021, 11: 3520. 15 h. DOI: 10.1038/s41598-021-83119-x. |
| dc.identifier.doi.none.fl_str_mv | 10.1038/s41598-021-83119-x |
| dc.identifier.issn.none.fl_str_mv | 2045-2322 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/33427 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Springer Nature |
| dc.relation.ispartof.es.fl_str_mv | Scientific Reports, 2021, 11: 3520 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | EEG data Probabilistic sequences Auditory stimuli |
| dc.title.none.fl_str_mv | Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Existe información adicional en: http://doi.org/10.1038/s41598-021-83119-x |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_f671b6e2150072fea1b10f0b76ee703d |
| identifier_str_mv | Hernández, N, Duarte, A, Ost, G [y otros autores]. "Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data". Scientific Reports. [en línea] 2021, 11: 3520. 15 h. DOI: 10.1038/s41598-021-83119-x. 2045-2322 10.1038/s41598-021-83119-x |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/33427 |
| publishDate | 2021 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Hernández NoslenDuarte AlineOst GuilhermeFraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática.Galves AntonioVargas Claudia D.2022-08-30T13:59:33Z2022-08-30T13:59:33Z2021Hernández, N, Duarte, A, Ost, G [y otros autores]. "Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data". Scientific Reports. [en línea] 2021, 11: 3520. 15 h. DOI: 10.1038/s41598-021-83119-x.2045-2322https://hdl.handle.net/20.500.12008/3342710.1038/s41598-021-83119-xExiste información adicional en: http://doi.org/10.1038/s41598-021-83119-xUsing 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.Submitted by Parodi Mónica (mparodi@fcien.edu.uy) on 2022-08-29T18:16:46Z No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 101038s4159802183119x.pdf: 5013342 bytes, checksum: 2aede355b95c9d2e18f344e02f740cf5 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2022-08-30T13:57:31Z (GMT) No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 101038s4159802183119x.pdf: 5013342 bytes, checksum: 2aede355b95c9d2e18f344e02f740cf5 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-08-30T13:59:33Z (GMT). No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 101038s4159802183119x.pdf: 5013342 bytes, checksum: 2aede355b95c9d2e18f344e02f740cf5 (MD5) Previous issue date: 202115 happlication/pdfenengSpringer NatureScientific Reports, 2021, 11: 3520Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)EEG dataProbabilistic sequencesAuditory stimuliRetrieving the structure of probabilistic sequences of auditory stimuli from EEG dataArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaHernández, NoslenDuarte, AlineOst, GuilhermeFraiman, RicardoGalves, AntonioVargas, Claudia D.LICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/33427/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/33427/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data Hernández, Noslen EEG data Probabilistic sequences Auditory stimuli |
| status_str | publishedVersion |
| title | 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_short | 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 |
| topic | EEG data Probabilistic sequences Auditory stimuli |
| url | https://hdl.handle.net/20.500.12008/33427 |
