11.07.2015 Views

Causality in Time Series - ClopiNet

Causality in Time Series - ClopiNet

Causality in Time Series - ClopiNet

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Roebroeck Seth Valdes-SosaDaniel Commenges and Anne Gegout-Petit. A general dynamical statistical modelwith possible causal <strong>in</strong>terpretation. journal of the Royal Statistical Society: <strong>Series</strong> B(Statistical Methodology), 71(3):1–43, 2009.J. Daunizeau, O. David, and K. E. Stephan. Dynamic causal modell<strong>in</strong>g: A criticalreview of the biophysical and statistical foundations. Neuroimage, 2009a.J. Daunizeau, K. J. Friston, and S. J. Kiebel. Variational bayesian identification andprediction of stochastic nonl<strong>in</strong>ear dynamic causal models. Physica D, 238(21):2089–2118, 2009b.O. David. fmri connectivity, mean<strong>in</strong>g and empiricism comments on: Roebroeck et al.the identification of <strong>in</strong>teract<strong>in</strong>g networks <strong>in</strong> the bra<strong>in</strong> us<strong>in</strong>g fmri: Model selection,causality and deconvolution. Neuroimage, 2009.O. David, I. Guillema<strong>in</strong>, S. Saillet, S. Reyt, C. Deransart, C. Segebarth, and A. Depaulis.Identify<strong>in</strong>g neural drivers with functional mri: an electrophysiological validation.PLoS Biol, 6(12):2683–97, 2008.J. A. de Zwart, P. van Gelderen, X. Golay, V. N. Ikonomidou, and J. H. Duyn. Acceleratedparallel imag<strong>in</strong>g for functional imag<strong>in</strong>g of the human bra<strong>in</strong>. NMR Biomed, 19(3):342–51, 2006.G. Deco, V. K. Jirsa, P. A. Rob<strong>in</strong>son, M. Breakspear, and K. Friston. The dynamicbra<strong>in</strong>: from spik<strong>in</strong>g neurons to neural masses and cortical fields. PLoS Comput Biol,4(8):e1000092, 2008.T. Deneux and O. Faugeras. Eeg-fmri fusion of paradigm-free activity us<strong>in</strong>g kalmanfilter<strong>in</strong>g. Neural Comput, 22(4):906–48, 2010.G. Deshpande, X. Hu, R. Stilla, and K. Sathian. Effective connectivity dur<strong>in</strong>g hapticperception: a study us<strong>in</strong>g granger causality analysis of functional magnetic resonanceimag<strong>in</strong>g data. Neuroimage, 40(4):1807–14, 2008.G. Deshpande, S. LaConte, G. A. James, S. Peltier, and X. Hu. Multivariate grangercausality analysis of fmri data. Hum Bra<strong>in</strong> Mapp, 30(4):1361–73, 2009.G. Deshpande, K. Sathian, and X. Hu. Effect of hemodynamic variability on grangercausality analysis of fmri. Neuroimage, 52(3):884–96, 2010.J Florens. Some technical issues <strong>in</strong> def<strong>in</strong><strong>in</strong>g causality. journal of Econometrics, 112:127–128, 2003.J.P. Florens and D. Fougere. Noncausality <strong>in</strong> cont<strong>in</strong>uous time. Econometrica, 64(5):1195–1212, 1996.K. Friston. Functional and effective connectivity <strong>in</strong> neuroimag<strong>in</strong>g: A synthesis. HumBra<strong>in</strong> Mapp, 2:56–78, 1994.98

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!