plot_ecog.pyas much as possible would be good) and we can take a look
There are two types of source spaces:
source-based source space when the candidates are confined to a surface.
volumetric or discrete source space when the candidates are discrete, arbitrarily located source points bounded >by the surface.
Source-based source space is computed using [...]
Shouldn't it be "Surface-based source space" instead of "Source-based"?
@larsoner I am trying to do as suggested, with:
eegRR = mne.set_bipolar_reference(inst = eegRR, anode = 'ChinR', cathode = 'ChinL', ch_name = 'EMG')
but get the attached error. Am I calling the function wrong? Thanks!
I can't replicate with this simple self-contained snippet:
import numpy as np from mne import create_info, set_bipolar_reference from mne.io import RawArray raw = RawArray(np.zeros((2, 1000)), create_info(2, 1000., 'eeg')) set_bipolar_reference(inst=raw, anode='0', cathode='1', ch_name='EOG')
If you can make a similar self-contained snippet or upload your data somewhere and paste the code to run (not a screenshot, do it in a
gist or use triple-backticks here) then someone can take a look
VolVectorSourceEstimate, what is it that
normalreturns? It looks like maybe +Z as in :point_up: March 29, 2019 10:03 AM
I faced the issue with raw.filter that I can not filter the instance of the raw that I created with pick_channels using names of MISC channels. It complains about not finding the channels to work with. Is it intended and you can filter only EEG or MEG? Is it the right place to ask such questions?
raw_grad = raw.copy().pick_channels(names_grad);
raw_grad = raw_grad.filter(1, 45., h_trans_bandwidth='auto', filter_length ='auto', phase = 'zero');
does not work:
raw_acc = raw.copy().pick_channels(names_acc);
raw_acc = raw_acc.filter(0.5, 5., h_trans_bandwidth='auto', filter_length ='auto', phase = 'zero');
Thanks, guys. If I understood Alex correctly
raw_misc.filter(0.5, 5., h_trans_bandwidth='auto', filter_length='auto', phase = 'zero', picks = names_misc);
raw_misc.filter(0.5, 5., h_trans_bandwidth='auto', filter_length='auto', phase = 'zero', picks = np.array([0,1,2]));
work and give the same error. Sorry to bug you with this.