Re-evaluating the performance of the nonlinear prediction error for the detection of deterministic dynamics

DOI10.1016/J.PHYSD.2010.12.001zbMath1208.37050OpenAlexW2155948647MaRDI QIDQ633732

Nicholas C. Sinclair, David T. J. Liley, Peter J. Cadusch, Mathew P. Dafilis

Publication date: 29 March 2011

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2010.12.001

zbMATH Keywords

electroencephalogramnonlinear prediction error

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Dynamical systems in biology (37N25)

Related Items (1)

Extensive four-dimensional chaos in a mesoscopic model of the electroencephalogram

Uses Software

• TISEAN
• XPPAUT

Cites Work

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• Surrogate time series.
• Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package
• Simulating, Analyzing, and Animating Dynamical Systems
• RECONSTRUCTING DYNAMICS FROM OBSERVABLES: THE ISSUE OF THE DELAY PARAMETER REVISITED

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