Retrieving a Context Tree from EEG Data

Aline Duarte, Ricardo Fraiman, Antonio Galves, Guilherme Ost and Claudia D. Vargas
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Aline Duarte: Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, Brazil
Ricardo Fraiman: Centro de Matemática, Universidad de la República, Uruguay and Instituto Pasteur de Montevideo, Montevideo 11400, Uruguay
Antonio Galves: Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, Brazil
Guilherme Ost: Instituto de Matemática, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil
Claudia D. Vargas: Instituto de Biofísica, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil

Mathematics, 2019, vol. 7, issue 5, 1-13

Abstract: 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.

Keywords: stochastic chains with memory of variable length; sequences of random objects driven by context tree models; stochastic modeling of EEG data (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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