Retrieving a Context Tree from EEG Data

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...

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Main Authors: Aline Duarte, Ricardo Fraiman, Antonio Galves, Guilherme Ost, Claudia D. Vargas
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/5/427
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author Aline Duarte
Ricardo Fraiman
Antonio Galves
Guilherme Ost
Claudia D. Vargas
author_facet Aline Duarte
Ricardo Fraiman
Antonio Galves
Guilherme Ost
Claudia D. Vargas
author_sort Aline Duarte
collection DOAJ
description 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.
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spelling doaj.art-9968ad192ff54f6aadef6ccaa608a8522022-12-22T02:39:02ZengMDPI AGMathematics2227-73902019-05-017542710.3390/math7050427math7050427Retrieving a Context Tree from EEG DataAline Duarte0Ricardo Fraiman1Antonio Galves2Guilherme Ost3Claudia D. Vargas4Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, BrazilCentro de Matemática, Universidad de la República, Uruguay and Instituto Pasteur de Montevideo, Montevideo 11400, UruguayInstituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, BrazilInstituto de Matemática, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, BrazilInstituto de Biofísica, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, BrazilIt 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.https://www.mdpi.com/2227-7390/7/5/427stochastic chains with memory of variable lengthsequences of random objects driven by context tree modelsstochastic modeling of EEG data
spellingShingle Aline Duarte
Ricardo Fraiman
Antonio Galves
Guilherme Ost
Claudia D. Vargas
Retrieving a Context Tree from EEG Data
Mathematics
stochastic chains with memory of variable length
sequences of random objects driven by context tree models
stochastic modeling of EEG data
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://www.mdpi.com/2227-7390/7/5/427
work_keys_str_mv AT alineduarte retrievingacontexttreefromeegdata
AT ricardofraiman retrievingacontexttreefromeegdata
AT antoniogalves retrievingacontexttreefromeegdata
AT guilhermeost retrievingacontexttreefromeegdata
AT claudiadvargas retrievingacontexttreefromeegdata