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Predict what kind of motion is done from previously processed EEG datas.
Research the different sklearn classification algorithms and choose one to use in this project.
Write code in training.py…
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When I studied papers about EEG analysis, I met many types of models. For example, SincNet-R, DGCNN, DNN, SNN, H-ATT-BGRU, BioCNN, MLF-CapsNet, RACNN, etc.
How can I add those models to the torcheeg …
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Someone with better knowledge of the codebase can maybe weigh in here but I *think* since #447 at least BNCI2014001 has been cutting trials without the shift for task onset/offset. Currently for BNCI2…
dcwil updated
10 months ago
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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Sik-Ho Tang. [Review — BEiT V2: Masked Image Modeling with Vector-Quantized Visual Tokenizers](https://towardsdev.com/review-beit-v2-masked-image-modeling-with-vector-quantized-visual-tokenizers-d7f1d…
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Hi! We had a request from a medical student at Albert Einstein. He and a group of his colleagues are working with patients affected with this syndrome and they want to start a non-profit organization…
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Currently we create the cross-validation object in our decoding step (08) of the pipeline via:
https://github.com/mne-tools/mne-study-template/blob/b61a5ca66aaef1f631d7ce2def3b1cde5d611729/08-sliding…
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## 💥 Proposal
Hello!
I am Rahul Jain, a proud contributor of GSSOC 23. I would like to the contribute to this repository .
The purpose of EEG (electroencephalography) eye state analysis is to…
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Hello,
Have you considered adding c-VEP (i.e. code-modulated VEP, or random VEP, or broad-band VEP) datasets to MOABB? They are currently one of the fastest types of BCI.
5 public datasets (but …
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Sik-Ho Tang. [Review: Representation Learning with Contrastive Predictive Coding (CPC/CPCv1)](https://sh-tsang.medium.com/review-representation-learning-with-contrastive-predictive-coding-cpc-cpcv1-8e…