@T_Hinault @Pascual_Marqui @AcademicEEG Also as pointed out here https://t.co/u5WuEu3Gny estimating the coefficients from GC is an attempt to measure the mechanism and not the effect, which is what GC is designed for.
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@KordingLab @anilkseth @neurograce @TjeerdWBoonstra @RemiGau Sure, but if we use ground truth simulations better keep in mind that GC is designed to measure effect, not mechanism https://t.co/u5WuEu3Gny
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@KordingLab @MauCorbetta @russpoldrack @ajshackman See also this one https://t.co/gQLrE9xqWt. GC is not a miracle measure? Of course? Has it been misinterpreted? Sure. As any other method.
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Granger Causality is Designed to Measure Effect, not Mechanism @FrontiersIn Neuroinformatics http://t.co/he6udLNtxe