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Robust estimation of Partial Directed Coherence by the vector optimal parameter search algorithm
2009 4th International IEEE/EMBS Conference on Neural Engineering, 2009We propose a method for the accurate estimation of Partial Directed Coherence (PDC) from multichannel time series. The method is based on multivariate vector autoregressive (MVAR) model identification performed through the recently proposed Vector Optimal Parameter Search (VOPS) algorithm.
Erla, Silvia +2 more
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IEEE Transactions on Biomedical Engineering, 2009
Cross-modal sensory integration between the auditory and visual systems has long been a topic of interest in cognitive neuroscience, but spatiotemporal cortical interdependence under audiovisual stimulation is still poorly understood. In this letter, parametric spectral analysis, specifically partial directed coherence (PDC), is used to study the ...
Yu, Sun +5 more
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Cross-modal sensory integration between the auditory and visual systems has long been a topic of interest in cognitive neuroscience, but spatiotemporal cortical interdependence under audiovisual stimulation is still poorly understood. In this letter, parametric spectral analysis, specifically partial directed coherence (PDC), is used to study the ...
Yu, Sun +5 more
openaire +2 more sources
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2007
The problem of determining directional coupling between neuronal oscillators from their time series is addressed. We compare performance of the two well-established approaches: partial directed coherence and phase dynamics modeling. They represent linear and nonlinear time series analysis techniques, respectively.
Smirnov, Dmitry +3 more
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The problem of determining directional coupling between neuronal oscillators from their time series is addressed. We compare performance of the two well-established approaches: partial directed coherence and phase dynamics modeling. They represent linear and nonlinear time series analysis techniques, respectively.
Smirnov, Dmitry +3 more
openaire +4 more sources
Computers in Biology and Medicine, 2007
Recently partial directed coherence has been introduced to study interrelations in multivariate time series, using the vector autoregressive model. In this procedure the choice of the model order is not clear. The use of spectral density has been suggested [B. Schelter, M. Winterhalder, B. Hellwig, B. Guschlbauer, C.H. Lucking, J.
openaire +2 more sources
Recently partial directed coherence has been introduced to study interrelations in multivariate time series, using the vector autoregressive model. In this procedure the choice of the model order is not clear. The use of spectral density has been suggested [B. Schelter, M. Winterhalder, B. Hellwig, B. Guschlbauer, C.H. Lucking, J.
openaire +2 more sources
Coherence resonance in neural networks: Theory and experiments
Physics Reports, 2023Alexander N Pisarchik
exaly
EEG-Based Emotion Recognition Using Partial Directed Coherence Dense Graph Propagation
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2022ZhongMin Wang +4 more
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Optical Coherence Tomography–Guided versus Angiography-Guided PCI
New England Journal of Medicine, 2023Ziad A Ali
exaly