Nonlinear Dynamical Analysis Of The Eeg
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Nonlinear Dynamical Analysis Of The Eeg: Proceedings Of The 2nd Annual Conference
This volume contains papers, contributed by scientists from a wide variety of disciplines, on the application of nonlinear dynamics (chaos theory) in the study of brain function.
Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis
This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented — algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 1980. Special emphasis is given to the much-disputed issue whether these algorithms can be successfully employed for the analysis of the human electroencephalogram.