› Forums › Other questions › Is ndt designed also for LFP/EEG/MEG signal decoding? › Reply To: Is ndt designed also for LFP/EEG/MEG signal decoding?
Sorry for the slow reply. Yes, the toolbox can work with LFP/EEG/MEG. We have had success decoding filtered MEG signals and using the regular create_binned_data_from_raster_data function (see The dynamics of invariant object recognition in the human visual system). This might also work for LFP and EEG signals, although it is possible that you might get better results writing your own binning function that creates features that are better suited for these different signals. Overall which types of features work best for decoding on any type of signal (including neural spiking activity) is an open question, so there is potentially room for improvement (and for learning more about neural coding).
Hope that helps!