S. Stramaglia

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When evaluating causal influence from one time series to another in a multivariate data set it is necessary to take into account the conditioning effect of the other variables. In the presence of many variables and possibly of a reduced number of samples, full conditioning can lead to computational and numerical problems. In this paper, we address the(More)
  • A. Erramuzpe, J. M. Encinas, A. Sierra, M. Maletic-Savatic, A.L. Brewster, Anne E. Anderson +4 others
  • 2015
Brain Functional Connectivity (FC) quantifies statistical dependencies between areas of the brain. FC has been widely used to address altered function of brain circuits in control conditions compared to different pathological states, including epilepsy, a major neurological disorder. However, FC also has the as yet unexplored potential to help us understand(More)
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