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Non-linear analysis of the rhythmic activity in rodent brains
M Y Alvarenga1, K Sameshima, L A Baccalá
1Graduate Program, IMECC, State University of Campinas, Brazil.
Mathematical Biosciences
|April 9, 1999
Abstract:
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.