Retrieving a Context Tree from EEG Data
Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, Brazil
Centro de Matemática, Universidad de la República, Uruguay and Instituto Pasteur de Montevideo, Montevideo 11400, Uruguay
Instituto de Matemática, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil
Instituto de Biofísica, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
Author to whom correspondence should be addressed.
Received: 28 March 2019 / Revised: 30 April 2019 / Accepted: 5 May 2019 / Published: 14 May 2019
PDF [374 KB, uploaded 14 May 2019]
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.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Duarte, A.; Fraiman, R.; Galves, A.; Ost, G.; Vargas, C.D. Retrieving a Context Tree from EEG Data. Mathematics 2019, 7, 427.
Duarte A, Fraiman R, Galves A, Ost G, Vargas CD. Retrieving a Context Tree from EEG Data. Mathematics. 2019; 7(5):427.
Duarte, Aline; Fraiman, Ricardo; Galves, Antonio; Ost, Guilherme; Vargas, Claudia D. 2019. "Retrieving a Context Tree from EEG Data." Mathematics 7, no. 5: 427.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.