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Detection of fixed points in spatiotemporal signals by a clustering method

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Hutt,  A.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Svensen,  M.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Kruggel,  F.
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Hutt, A., Svensen, M., Kruggel, F., & Friedrich, R. (2000). Detection of fixed points in spatiotemporal signals by a clustering method. Physical Review E, 61(5), R4691-R4693. doi:10.1103/PhysRevE.61.R4691.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-A951-D
Abstract
We present a method to determine fixed points in spatiotemporal signals. The method combines a clustering algorithm and a nonlinear analysis method fitting temporal dynamics. A 144-dimensional simulated signal, similar to a Kueppers-Lortz instability, is analyzed and its fixed points are reconstructed.