Retrieving a context tree from EEG data

Duarte, Aline - Fraiman, Ricardo - Galves, Antonio - Ost, Guilherme - Vargas, Claudia D.

Resumen:

It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic processes, namely, sequences of random objects driven by chains with memory of variable length.


Detalles Bibliográficos
2019
Stochastic chains with memory of variable length
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/28659
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Duarte, Aline
author2 Fraiman, Ricardo
Galves, Antonio
Ost, Guilherme
Vargas, Claudia D.
author2_role author
author
author
author
author_facet Duarte, Aline
Fraiman, Ricardo
Galves, Antonio
Ost, Guilherme
Vargas, Claudia D.
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Duarte A.
Fraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática
Galves Antonio
Ost Guilherme
Vargas Claudia D.
dc.creator.none.fl_str_mv Duarte, Aline
Fraiman, Ricardo
Galves, Antonio
Ost, Guilherme
Vargas, Claudia D.
dc.date.accessioned.none.fl_str_mv 2021-07-22T12:15:37Z
dc.date.available.none.fl_str_mv 2021-07-22T12:15:37Z
dc.date.issued.none.fl_str_mv 2019
dc.description.abstract.none.fl_txt_mv It has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic processes, namely, sequences of random objects driven by chains with memory of variable length.
dc.description.en.fl_txt_mv This article belongs to the Special Issue Stochastic Processes in Neuronal Modeling
dc.format.extent.es.fl_str_mv 13 h.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Duarte, A, Fraiman, R, Galves, A, y otros "Retrieving a context tree from EEG data". Mathematics [en línea] 2019, 7(5): 427. 13 h. DOI: 10.3390/math7050427
dc.identifier.doi.none.fl_str_mv 10.3390/math7050427
dc.identifier.issn.none.fl_str_mv 2227-7390
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/28659
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv MDPI
dc.relation.ispartof.es.fl_str_mv Mathematics, 2019, 7(5): 427
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.en.fl_str_mv Stochastic chains with memory of variable length
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
dc.title.none.fl_str_mv Retrieving a context tree 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 This article belongs to the Special Issue Stochastic Processes in Neuronal Modeling
eu_rights_str_mv openAccess
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identifier_str_mv Duarte, A, Fraiman, R, Galves, A, y otros "Retrieving a context tree from EEG data". Mathematics [en línea] 2019, 7(5): 427. 13 h. DOI: 10.3390/math7050427
2227-7390
10.3390/math7050427
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
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oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/28659
publishDate 2019
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 Duarte A.Fraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de MatemáticaGalves AntonioOst GuilhermeVargas Claudia D.2021-07-22T12:15:37Z2021-07-22T12:15:37Z2019Duarte, A, Fraiman, R, Galves, A, y otros "Retrieving a context tree from EEG data". Mathematics [en línea] 2019, 7(5): 427. 13 h. DOI: 10.3390/math70504272227-7390https://hdl.handle.net/20.500.12008/2865910.3390/math7050427This article belongs to the Special Issue Stochastic Processes in Neuronal ModelingIt has been repeatedly conjectured that the brain retrieves statistical regularities from stimuli. Here, we present a new statistical approach allowing to address this conjecture. This approach is based on a new class of stochastic processes, namely, sequences of random objects driven by chains with memory of variable length.Submitted by Verdun Juan Pablo (jverdun@fcien.edu.uy) on 2021-07-16T21:14:23Z No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 10.3390math7050427.pdf: 383172 bytes, checksum: 1d6dcc7be2ec41235453c2ee673d27da (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2021-07-22T12:13:41Z (GMT) No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 10.3390math7050427.pdf: 383172 bytes, checksum: 1d6dcc7be2ec41235453c2ee673d27da (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2021-07-22T12:15:37Z (GMT). No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) 10.3390math7050427.pdf: 383172 bytes, checksum: 1d6dcc7be2ec41235453c2ee673d27da (MD5) Previous issue date: 201913 h.application/pdfenengMDPIMathematics, 2019, 7(5): 427Las 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)Stochastic chains with memory of variable lengthSequences of random objects driven by context tree modelsStochastic modeling of EEG dataRetrieving a context tree from EEG dataArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDuarte, AlineFraiman, RicardoGalves, AntonioOst, GuilhermeVargas, Claudia D.LICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/28659/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/28659/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Retrieving a context tree from EEG data
Duarte, Aline
Stochastic chains with memory of variable length
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
status_str publishedVersion
title Retrieving a context tree from EEG data
title_full Retrieving a context tree from EEG data
title_fullStr Retrieving a context tree from EEG data
title_full_unstemmed Retrieving a context tree from EEG data
title_short Retrieving a context tree from EEG data
title_sort Retrieving a context tree from EEG data
topic Stochastic chains with memory of variable length
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
url https://hdl.handle.net/20.500.12008/28659

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