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Mingzhou Ding

Showing results (11-20 of 161) with videos related to

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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 17, 2013
Multivariate Granger causality: an estimation framework based on factorization of the spectral density matrixXiaotong Wen, Govindan Rangarajan, Mingzhou Ding
IEEE Transactions on Bio-Medical Engineering|November 21, 2007
Testing for statistical significance in bispectra: a surrogate data approach and application to neuroscienceXue Wang, Yonghong Chen, Mingzhou Ding
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2007
Mitigating the effects of measurement noise on Granger causalityHariharan Nalatore, Mingzhou Ding, Govindan Rangarajan
Journal of Neuroscience Methods|May 12, 2009
Denoising neural data with state-space smoothing: method and applicationHariharan Nalatore, Mingzhou Ding, Govindan Rangarajan
Neuroimage|April 9, 2008
Analyzing information flow in brain networks with nonparametric Granger causalityMukeshwar Dhamala, Govindan Rangarajan, Mingzhou Ding
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 15, 2003
General stability analysis of synchronized dynamics in coupled systemsYonghong Chen, Govindan Rangarajan, Mingzhou Ding
Neuroimage|February 1, 2012
Exploring resting-state functional connectivity with total interdependenceXiaotong Wen, Jue Mo, Mingzhou Ding
Frontiers in Human Neuroscience|December 12, 2019
Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRSZhen Yuan, Xin Zhang, Mingzhou Ding
Physical Review Letters|February 1, 2008
Estimating Granger causality from fourier and wavelet transforms of time series dataMukeshwar Dhamala, Govindan Rangarajan, Mingzhou Ding
Biological Cybernetics|March 12, 2011
Block coherence: a method for measuring the interdependence between two blocks of neurobiological time seriesAatira G Nedungadi, Mingzhou Ding, Govindan Rangarajan
Pageof 17

Showing results (11-20 of 161) with videos related to

Sort By:
Pageof 17
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 17, 2013
Multivariate Granger causality: an estimation framework based on factorization of the spectral density matrixXiaotong Wen, Govindan Rangarajan, Mingzhou Ding
IEEE Transactions on Bio-Medical Engineering|November 21, 2007
Testing for statistical significance in bispectra: a surrogate data approach and application to neuroscienceXue Wang, Yonghong Chen, Mingzhou Ding
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2007
Mitigating the effects of measurement noise on Granger causalityHariharan Nalatore, Mingzhou Ding, Govindan Rangarajan
Journal of Neuroscience Methods|May 12, 2009
Denoising neural data with state-space smoothing: method and applicationHariharan Nalatore, Mingzhou Ding, Govindan Rangarajan
Neuroimage|April 9, 2008
Analyzing information flow in brain networks with nonparametric Granger causalityMukeshwar Dhamala, Govindan Rangarajan, Mingzhou Ding
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 15, 2003
General stability analysis of synchronized dynamics in coupled systemsYonghong Chen, Govindan Rangarajan, Mingzhou Ding
Neuroimage|February 1, 2012
Exploring resting-state functional connectivity with total interdependenceXiaotong Wen, Jue Mo, Mingzhou Ding
Frontiers in Human Neuroscience|December 12, 2019
Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRSZhen Yuan, Xin Zhang, Mingzhou Ding
Physical Review Letters|February 1, 2008
Estimating Granger causality from fourier and wavelet transforms of time series dataMukeshwar Dhamala, Govindan Rangarajan, Mingzhou Ding
Biological Cybernetics|March 12, 2011
Block coherence: a method for measuring the interdependence between two blocks of neurobiological time seriesAatira G Nedungadi, Mingzhou Ding, Govindan Rangarajan
Pageof 17