| Texto completo | |
| Autor(es): |
Najman, Fernando A.
;
Galves, Antonio
;
Svarc, Marcela
;
Vargas, Claudia D.
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PLOS COMPUTATIONAL BIOLOGY; v. 21, n. 1, p. 18-pg., 2025-01-01. |
| Resumo | |
It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this task. We address this issue by using a new clustering procedure for sets of electroencephalographic (EEG) data recorded from participants exposed to a sequence of auditory stimuli generated by a stochastic chain. This clustering procedure indicates that the brain uses the recurrent occurrences of a regular auditory stimulus in order to build a model. (AU) | |
| Processo FAPESP: | 22/00784-0 - Impressões digitais eletroencefalográficas de seleção de modelos estatísticos pelo cérebro |
| Beneficiário: | Fernando Araujo Najman |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |