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Rework the classification of BrainInvaders2012 or simply add a new example for the BrainInvaders2012 dataset.
```
from scipy.linalg import sqrtm
from sklearn.pipeline import make_pipeline, Pipeli…
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We are getting many (way too many?) epochs classified as wakefulness. We see frequent jumps from N3 or N2 to W, which doesn't seem right.
Have you previously encountered a problem of over-classifi…
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#### Describe the bug
`eog`, `misc`, and `stim_channel` of [read_raw_edf](https://github.com/mne-tools/mne-python/blob/ad095ba6e0e5b97ddbbb0def3846fa8551add30d/mne/io/edf/edf.py#L1236) are used to as…
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Review of [Redes Neurais Profundas Triplet Aplicadas à Classificação de Sinais em Interfaces Cérebro-Computador](https://github.com/Kotzly/BCI_MsC/files/6105543/Redes_Neurais_Profundas_Triplet_Aplicad…
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As a I want in order to .
Link to the list of user stories: https://nlesc.sharepoint.com/:w:/s/DIANNA/EdoppPpmTTBKh0Mq-VdmvM8B_VeTFRzznZ3op-wo1cuBPA?e=qtGO5M
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@lzehl @UlrikeS91 Following the ontology meeting, we consider adding a new terminology "experimental measurement".
Suggested terms for this terminology would be the following (not an exhaustive lis…
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**Original article:**
T. Wen and Z. Zhang, "[Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals](https://ieeexplore.ieee.org/abstract/document/835547…
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Hi,
Thanks for providing the complete code for the ConvNorm paper, my question is about replacing the Conv2d operations with ConvNorm using 1d kernel size eg. (1, 16).
For a kernel length smaller t…
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Dear MNE-Community,
I’m Catalina Galván, a current PhD student from Argentina. For my analyzes, I've been working with my advisor @vpeterson in creating realistic MI-BCI data and I believe it would b…
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I was wondering if anyone had used snnTorch for regression, and perhaps how you set your networks up. Just looking for simple, general examples! MSELoss would likely be the type of loss used as I see …