Dynamic Granger-Geweke causality modeling with application to interictal spike propagation.

@article{Lin2009DynamicGC,
  title={Dynamic Granger-Geweke causality modeling with application to interictal spike propagation.},
  author={Fa-Hsuan Lin and Keiko Hara and Victor Solo and Mark E Vangel and John W. Belliveau and Steven M. Stufflebeam and Matti S. H{\"a}m{\"a}l{\"a}inen},
  journal={Human brain mapping},
  year={2009},
  volume={30 6},
  pages={1877-86}
}
A persistent problem in developing plausible neurophysiological models of perception, cognition, and action is the difficulty of characterizing the interactions between different neural systems. Previous studies have approached this problem by estimating causal influences across brain areas activated during cognitive processing using structural equation modeling (SEM) and, more recently, with Granger-Geweke causality. While SEM is complicated by the need for a priori directional connectivity… CONTINUE READING

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Measures of conditional linear dependence and feedback between time series

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Highly Influential
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