Título:
Retrieving a context tree from EEG data
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Autor:
Duarte, Aline
Fraiman, Ricardo
Galves, Antonio
Ost, Guilherme
Vargas, Claudia D.
Fraiman, Ricardo
Galves, Antonio
Ost, Guilherme
Vargas, Claudia D.
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Stochastic chains with memory of variable length
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
Sequences of random objects driven by context tree models
Stochastic modeling of EEG data
Descriptores:
Año de publicación:
2019
Contenido:
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.
Descripción:
This article belongs to the Special Issue Stochastic Processes in Neuronal Modeling
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Editorial:
MDPI
EN:
Mathematics, 2019, 7(5): 427
Financiadores:
Citación:
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
Citación:
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ISSN:
2227-7390
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Licencia:
Licencia Creative Commons Atribución (CC - By 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| 10.3390math7050427.pdf | — | 374.19 KB | Adobe PDF |