I used wavelet transform to get time-frequency spectral power (TFSP)
from 1 to 40 Hz for each trial and each channel. The TFSP for each
trial was devided in to 16 time windows and averaged for each frequency.
Then I tried to figure out which channel/frequency can predict the
targets most accurately in trainning sessions, and applied that to
test sessions.