1.
Math Biosci
; 157(1-2): 287-302, 1999 Mar 15.
Artigo
em Inglês
| MEDLINE
| ID: mdl-10194934
RESUMO
This paper discusses the employment of non-parametric non-linear prediction algorithms to investigate non-linear dynamics in the rhythmic brain activity of rats. Three algorithms (Sugihara-May Simplex, K-neighbour and Casdagli's) were tested yielding similar prediction results which--when subject to a suitable bootstrap based t-tests--revealed that the theta waves recorded in rat brains cannot have their intrinsic non-linearity dismissed at a significance of 0.05.