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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data

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Author(s):
Hernandez, Noslen [1] ; Duarte, Aline [1] ; Ost, Guilherme [2] ; Fraiman, Ricardo [3] ; Galves, Antonio [1] ; Vargas, Claudia D. [4]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Inst Matemat & Estat, Sao Paulo - Brazil
[2] Univ Fed Rio de Janeiro, Inst Matemat, Rio De Janeiro - Brazil
[3] Univ Republica, Ctr Matemat, Montevideo - Uruguay
[4] Univ Fed Rio de Janeiro, Inst Biofis Carlos Chagas Filho, Rio de Janeiro - Brazil
Total Affiliations: 4
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 11, n. 1 FEB 10 2021.
Web of Science Citations: 0
Abstract

Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquired while 19 participants were exposed to those stimuli. The structure of the chains generating the stimuli are characterized by rooted and labeled trees whose leaves, henceforth called contexts, represent the sequences of past stimuli governing the choice of the next stimulus. A classical conjecture claims that the brain assigns probabilistic models to samples of stimuli. If this is true, then the context tree generating the sequence of stimuli should be encoded in the brain activity. Using an innovative statistical procedure we show that this context tree can effectively be extracted from the EEG data, thus giving support to the classical conjecture. (AU)

FAPESP's process: 16/22053-7 - Structured stochastic processes and functional data analysis for the assessment of motor learning in normal and pathological subjects
Grantee:Noslen Hernández González
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/17791-9 - Interacting processes with variable range memory in neurobiological models
Grantee:Aline Duarte de Oliveira
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/17789-4 - Stability, statistical selection of models and hydrodynamic boundary for interacting chains with variable reach memory
Grantee:Guilherme Ost de Aguiar
Support Opportunities: Scholarships in Brazil - Post-Doctoral