[Mne_analysis] Is there Deep Learning Methods in MNE-Python
Alexandre Gramfort
alexandre.gramfort at inria.fr
Sat Feb 23 11:26:33 EST 2019
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hi,
you don't have any deep model in mne-python directly but it's used
by many recent papers using deep learning with EEG.
one of these packages is: https://robintibor.github.io/braindecode/
for BCI mostly
but you can find more on github:
https://github.com/search?q=mne+tensorflow&type=Code
https://github.com/search?l=Python&q=mne+torch&type=Code
See our recent review paper on EEG and deep learning :
https://arxiv.org/abs/1901.05498v1
HTH
Alex
On Sat, Feb 23, 2019 at 4:53 PM Xi Zh <timsasah at gmail.com> wrote:
>
> External Email - Use Caution
>
> I want to try the deep learning methods on my EEG-Data.
> I have a question regarding Deep Learning methods (convolutional, recurrent, and LSTM) to classify EEG-Data. Is there libraries in MNE-Python? If not, then which libraries would you suggest? Also when classifying using CSP (Common Spatial Patterns) the data should be epoched in equal windows. Is it the same case in Deep Learning? Or is there another way preprocess the data?
> Lastly is it possible to classify CSP components using deep learning methods?
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