Time-lagged causal information: A new metric for effective connectivity analysis

[1]  Stiliyan Kalitzin,et al.  Coherency and connectivity in oscillating neural networks: linear partialization analysis , 1997, Biological Cybernetics.

[2]  Clive W. J. Granger,et al.  A Dependence Metric for Nonlinear Time Series , 2000 .

[3]  G. P. King,et al.  Extracting qualitative dynamics from experimental data , 1986 .

[4]  C. Granger,et al.  USING THE MUTUAL INFORMATION COEFFICIENT TO IDENTIFY LAGS IN NONLINEAR MODELS , 1994 .

[5]  Claude E. Shannon,et al.  The Mathematical Theory of Communication , 1950 .

[6]  S. Bressler.  Large-scale cortical networks and cognition , 1995, Brain Research Reviews.

[7]  M M Mesulam,et al.  Large‐scale neurocognitive networks and distributed processing for attention, language, and memory , 1990, Annals of neurology.

[8]  Mingzhou Ding,et al.  Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance , 2001, Biological Cybernetics.

[9]  A. McIntosh,et al.  Neural modeling, functional brain imaging, and cognition , 1999, Trends in Cognitive Sciences.

[10]  J. Kelso,et al.  Cortical coordination dynamics and cognition , 2001, Trends in Cognitive Sciences.

[11]  L. Györfi,et al.  Nonparametric entropy estimation. An overview , 1997 .

[12]  Karl J. Friston.  Functional and effective connectivity in neuroimaging: A synthesis , 1994 .

[13]  C. Granger.  Investigating Causal Relations by Econometric Models and Cross-Spectral Methods , 1969 .

[14]  Cees Diks,et al.  A general nonparametric bootstrap test for Granger causality , 2001 .