Statistical modeling approach for detecting generalized synchronization

Detecting nonlinear correlations between time series presents a hard problem for data analysis. We present a generative statistical modeling method for detecting nonlinear generalized synchronization. Truncated Volterra series are used to approximate functional interactions. The Volterra kernels are...

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Bibliographic Details
Main Authors: Haslinger, Robert Heinz (Contributor), Pipa, Gordon (Author), Schumacher, Johannes (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2012-08-30T14:51:04Z.
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