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| Person | Task | DoD | Links/Status |
| --------- | ------ | ------- | ---------------- |
| @rmarren1 | Multivariate Time Series Distance Functions | Explore prior work on defining similarity / dis…
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@larsoner Does this look like anything you are doing for implementing ICA in MNEFUN?
```
raw = io.read_raw_fif(op.join(workdir, 'skubi_%s' % subject, 'sss_fif',
…
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can this code be used for motor imagery?
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Dear MNErs, I've got several questions regarding the processing pipeline I'm trying to set up.
First of all, here's what I do for each participants (using mne 15) :
```python
import neurokit …
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Dear MNE-Team,
my interest is investigating the association between an ID variable and brain signal variability with EEG.
Many researches used Multiscale (Sample) Entropy (MSE) to operational b…
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According to http://martinos.org/mne/dev/auto_examples/preprocessing/plot_resample.html this should be possible
> When resampling epochs is unwanted or impossible, for example when the data doesn’t…
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I'm computing ICA on continous raw EEG data. In my pipeline, I set
eeg.set_eeg_reference()
before doing
ica = ICA(method="extended-infomax", random_state=1)
ica.fit(raw)
Does …
cbrnr updated
7 years ago
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tl;dr: randomized PCA from `sklearn` is causing a segmentation error, switching to PCA with `svd_solver='full'` seems to fix this issue.
I'm trying to compute ICA on an EEG dataset with annotations…
cbrnr updated
7 years ago
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Currently multiple comparisons corrections are not being applied correctly to correct for multiple channels of temporal decoding results. This is because each temporal decoding result is stored as an …
Feugs updated
7 years ago
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This may very well be a silly question because I haven't looked through your thoroughly enough (or because I'm missing something painfully obvious), so please bear with me.
From what I have been ab…
stjep updated
6 years ago