In FT channelcmb takes a matrix with two (mutual exclusive?!) columns encoding the sender and receiver channel combinations for which to compute the connectivity measures. Especially for computational expensive algorithms like the PPC this would also save a lot of time, as only a subset of all possible channel combinations would be computed.
In FT output for coh and ppc is a 1d array, whereas for granger it is a matrix.. we always want a CrossSpectralData output, so for a subset of channel combinations (channel_i=[6,10], channel_j=[15, 16, 17]) this will give a rectangular array as result (tensor product of two unequal lengths vectors).
tensionhead
commented
10 months ago
In FT
channelcmbtakes a matrix with two (mutual exclusive?!) columns encoding the sender and receiver channel combinations for which to compute the connectivity measures. Especially for computational expensive algorithms like the PPC this would also save a lot of time, as only a subset of all possible channel combinations would be computed.In FT output for
cohandppcis a 1d array, whereas forgrangerit is a matrix.. we always want aCrossSpectralDataoutput, so for a subset of channel combinations (channel_i=[6,10], channel_j=[15, 16, 17]) this will give a rectangular array as result (tensor product of two unequal lengths vectors).