Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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wetenschappelijk artikel

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наукова стаття, опублікована в березні 2013

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Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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Revealing mutual influence of oscillatory systems from the observation data

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P1476

Revealing mutual influence of oscillatory systems from the observation data

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P2093

B. P. Bezruchko

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D. A. Smirnov

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P2860

Surrogate analysis of coherent multichannel data.

Nonlinear multivariate analysis of neurophysiological signals.

Nonuniform state-space reconstruction and coupling detection.

Characterizing direction of coupling from experimental observations.

Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique.

Using the minimum description length principle for global reconstruction of dynamic systems from noisy time series.

Chaotic communication via temporal transfer entropy.

Measuring direction in the coupling of biological oscillators: a case study for electroreceptors of paddlefish.

Cross-spectral analysis of physiological tremor and muscle activity. I. Theory and application to unsynchronized electromyogram.

Investigating Causal Relations by Econometric Models and Cross-spectral Methods

P2888

s11141-013-9404-6

P304

662-675

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P31

scholarly article

P356

10.1007/S11141-013-9404-6

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P433

10-11

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2013-03-01T00:00:00Z

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