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Online classification of BCI : Due to both variable trial structure and in order to directly compare with the online classification, we used the recommended default time window length from BCI2000 of…
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We need people browsing the web to discover interesting datasets than could be added to the moabb.
You can comment on this issue.
But first, check your dataset is not already in [the list](https…
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There are four key concepts within the MOABB: the datasets, the paradigm, the evaluation, and the pipelines. We are planning to fully support the datasets and paradigms in MOABB with TorchEEG version …
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I am trying to run BCILAB with the following outlines given here
https://docs.google.com/document/d/1iTGj23C5uPW85g4JPDc9l5BTDuKnTvp90y2oCT5JSiY/edit?usp=sharing
As the title suggested it gives …
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Hi there, inspiring method and great paper
have been trying to apply your work on other dataset for couple of days, but cant achieve good results..
recheck the code, i think maybe it's a data-split …
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# EEG Motor Movement/Imagery Dataset
## Published: Sept. 9, 2009. Version: 1.0.0
At https://physionet.org/content/eegmmidb/1.0.0/
The goal of the issue is to create the preparation scripts fo…
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I'm working on my MSc thesis (https://github.com/ErikBjare/thesis) and I am investigating the possibility for training models on public datasets and then using the learned model to train for a differe…
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Hi there,
Just stumbled upon this project: looks super-useful for reproducible science! I'm currently a collaborator on [PyPREP](https://github.com/sappelhoff/pyprep) (an MNE-Python reimplementatio…
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### Title
EEG-Based Sensory Classification using Machine Learning
### Leaders
Linda Fiorini e Francesco Pietrogiacomi
### Collaborators
_No response_
### Brainhack Global 2023 Event
Brainhack L…
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Hi, I am training a conditional GAN.
At the beginning, both G and D loss decrease, but around 200 epoch, G loss start to increase from 1 to 3, and the image quality seems to stop improve.
Any idea…