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Traceback (most recent call last):
File "plot_compute_evoked_inverse_solution.py", line 40, in
epochs = hcp.read_epochs(subject=subject, data_type=data_type, run_index=run_index, onset='block', hcp_path=hcp_path, return_fixations_motor=False)
File "/usr/local/lib/python2.7/dist-packages/mne_hcp-0.1.dev12-py2.7.egg/hcp/io/read.py", line 575, in read_epochs
return_fixations_motor=return_fixations_motor)
File "/usr/local/lib/python2.7/dist-packages/mne_hcp-0.1.dev12-py2.7.egg/hcp/io/read.py", line 597, in _read_epochs
data = np.array(data['trial'].tolist().tolist())
ValueError: could not broadcast input array from shape (245,13630) into shape (245)
Reading the matrix happens fine but MNE-HCP expects a matrix of a different dimension than the one it finds. Please help.
The text was updated successfully, but these errors were encountered:
Hi, I am trying to read epochs of a StoryMath trial from the BUN matrix of tmegpreproc using the command
epochs = hcp.read_epochs(subject=subject, data_type=data_type, run_index=run_index, onset='block', hcp_path=hcp_path, return_fixations_motor=False)
But it produces the following error:
Reading the matrix happens fine but MNE-HCP expects a matrix of a different dimension than the one it finds. Please help.
The text was updated successfully, but these errors were encountered: