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  Detection of fixed points in spatiotemporal signals by a clustering method

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.

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 Creators:
Hutt, A.1, Author           
Svensen, M.1, Author           
Kruggel, F.1, 2, Author           
Friedrich, Roland3, Author           
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              
2Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              
3External Organizations, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2000
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 239453
ISI: 000087071000005
Other: P6905
DOI: 10.1103/PhysRevE.61.R4691
 Degree: -

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Title: Physical Review E
  Other : Phys. Rev. E
Source Genre: Journal
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Publ. Info: Melville, NY : American Physical Society
Pages: - Volume / Issue: 61 (5) Sequence Number: - Start / End Page: R4691 - R4693 Identifier: ISSN: 1539-3755
CoNE: https://pure.mpg.de/cone/journals/resource/954925225012