Detection of fixed points in spatiotemporal signals by a clustering method.
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.
Hutt
A
A
Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany. hutt@cns.mpg.de
Svensén
M
M
Kruggel
F
F
Friedrich
R
R
D000465:Algorithms; D003198:Computer Simulation; D008959:Models, Neurological