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• W1520596340 abstract "The brain is a giant dynamic system. Its complexity should exceed e.g. that of a dripping faucet (Rössler 1977), which is one of the work-horses of nonlinear science (Martien and Shaw 1985). There are numerical methods for estimating the embedding dimension of a signal generated by a dynamic system (Froehling et al. 1981) which have been successfully applied to many kinds of data including brain-generated ones (see Mayer-Kress 1986 for many references).KeywordsLyapunov ExponentChaotic AttractorStereo PairSymbolic DynamicCommun Math PhysThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W1520596340 created "2016-06-24" @default.
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• W1520596340 date "1989-01-01" @default.
• W1520596340 modified "2023-09-27" @default.
• W1520596340 title "Self-Similarity in Hyperchaotic Data" @default.
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• W1520596340 doi "https://doi.org/10.1007/978-3-642-74557-7_9" @default.
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