Effective connectivity in FMRI from mutual prediction approach


Effective connectivity aims to quantify how a neural system influences another. Estimation of effective connectivity in neurophysiological signals has gained great popularity in recent years. Lag-based methods, such as Granger causality, depend strongly on the amplitudes of the signals and assume the signals are linear and stationary. In this paper, we… (More)
DOI: 10.1109/ACSSC.2014.7094427


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