Retrieving a Context Tree from EEG Data

Author(s)

Duarte, Aline ^[1] ; Fraiman, Ricardo ^{[2, 3]} ; Galves, Antonio ^[1] ; Ost, Guilherme ^[4] ; Vargas, Claudia D. ^[5]

Affiliation

^[1] Univ Sao Paulo, Inst Matemat & Estat, BR-05508090 Sao Paulo - Brazil

^[2] Inst Pasteur Montevideo, Montevideo 11400 - Uruguay

^[3] Univ Republica, Ctr Matemat, Montevideo - Uruguay

^[4] Univ Fed Rio de Janeiro, Inst Matemat, BR-21941909 Rio De Janeiro - Brazil

^[5] Univ Fed Rio de Janeiro, Inst Biofis, BR-21941902 Rio De Janeiro - Brazil

• Document type: Journal article
• Source: MATHEMATICS; v. 7, n. 5 MAY 2019.
• Web of Science Citations: 0

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. (AU)

• 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: 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: 16/17789-4 - 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