Dear list
I have been trying to reconstruct my epochs based on the induced power
using <mne.minimum_norm.source_induced_power>.
I get a <maybeencodingerror> from running this command. I cannot figure
out whether this is a user error or a bug/problem. I have been able to
use the exact same code on other files though with shorter epochs (-250
to 750 ms)
mne.minimum_norm.time_frequency.source_band_induced_power(
to_reconstruct[trial_type], ## epochs are
from -500 to 1500 ms
inverse_operator, mu_bands, method=method,
n_cycles=3, n_jobs=16)
Preparing the inverse operator for use...
Scaled noise and source covariance from nave = 1 to nave = 1
Created the regularized inverter
The projection vectors do not apply to these channels.
Created the whitener using a full noise covariance matrix (0 small
eigenvalues omitted)
Computing noise-normalization factors (dSPM)...
[done]
Picked 306 channels from the data
Computing inverse...
(eigenleads need to be weighted)...
Reducing data rank to 306
Computing source power ...
Traceback (most recent call last):
File "<ipython-input-4-50e967105495>", line 1, in <module>
runfile('/home/lau/analyses/pam_oddball/scripts/absence/python/absence_analysis_v2.py',
wdir='/home/lau/analyses/pam_oddball/scripts/absence/python')
File
"/home/lau/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
line 685, in runfile
execfile(filename, namespace)
File
"/home/lau/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
line 78, in execfile
builtins.execfile(filename, *where)
File
"/home/lau/analyses/pam_oddball/scripts/absence/python/absence_analysis_v2.py",
line 378, in <module>
mu_bands)
File "absence_functions_v2.py", line 835, in source_estimate
n_cycles=7, n_jobs=4)
File "<string>", line 2, in source_band_induced_power
File "/home/lau/anaconda2/lib/python2.7/site-packages/mne/utils.py",
line 628, in verbose
return function(*args, **kwargs)
File
"/home/lau/anaconda2/lib/python2.7/site-packages/mne/minimum_norm/time_frequency.py",
line 129, in source_band_induced_power
prepared=prepared)
File "<string>", line 2, in _source_induced_power
File "/home/lau/anaconda2/lib/python2.7/site-packages/mne/utils.py",
line 628, in verbose
return function(*args, **kwargs)
File
"/home/lau/anaconda2/lib/python2.7/site-packages/mne/minimum_norm/time_frequency.py",
line 275, in _source_induced_power
for data in np.array_split(epochs_data, n_jobs))
File
"/home/lau/anaconda2/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 666, in __call__
self.retrieve()
File
"/home/lau/anaconda2/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 518, in retrieve
self._output.append(job.get())
File "/home/lau/anaconda2/lib/python2.7/multiprocessing/pool.py",
line 567, in get
raise self._value
*MaybeEncodingError*: Error sending result: '(array([[[
4.33156061e-20, 4.39577027e-20, 4.45972043e-20, ...,
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