EEG-ExPy
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EEG Experiments in Python
## ℹ Computer information - Platform OS (e.g Windows, Mac, Linux etc): Windows 10 - Python Version: 3.7 - Brain Interface Used (e.g Muse, OpenBCI, Notion etc): Muse2 with Bluemuse...
## ℹ Computer information - Platform OS (e.g Windows, Mac, Linux etc): Windows - Python Version: 3.7 - Brain Interface Used (e.g Muse, OpenBCI, Notion etc): Muse2 with Bluemuse ##...
Currently, this section of the docs exists but is blank. New users might not understand how to view hidden folders, but @JohnGriffiths explained that this is done as part of...
Start notebook on explaining the differences in Riemannian Geometric Classification methods. Topics to include: - [x] Cell for fetching datasets for each individual task using the `eegnb.datasets.datasets.fetch_dataset` - [x] Cell...
Use signal processing metrics to create machine learning functionality for EEG-Notebooks and compare clustering algorithms. We can use scikit t-SNE optimization techniques (https://scikit-learn.org/stable/modules/manifold.html#optimizing-t-sne), Pyriemann Embedding (https://pyriemann.readthedocs.io/en/latest/auto_examples/ERP/plot_embedding_EEG.html#sphx-glr-auto-examples-erp-plot-embedding-eeg-py), diffusion_map (https://pydiffmap.readthedocs.io/en/master/reference/diffusion_map.html), and other...
The two auditory experiments in the repo need updating to the new format with the EEG device class https://github.com/NeuroTechX/eeg-notebooks/tree/master/eegnb/experiments/auditory_ssaep https://github.com/NeuroTechX/eeg-notebooks/tree/master/eegnb/experiments/auditory_oddball
Hi all - please find below my points following a comprehensive docs review. [Please note that if a point does not make sense or is unecessary, it is definitely reflective...
Running `git grep path.join` yields a swindling 62+ results, here's a sample: ``` eegnb/__init__.py:DATA_DIR = path.join(path.expanduser("~/"), ".eegnb", "data") eegnb/analysis/utils_old.py: data_path = os.path.join(data_dir, experiment, site, device, subsess) eegnb/datasets/datasets.py: exp_dir = os.path.join(data_dir,...
The attached code proposes one prospective preprocessing pipeline that helps handle artifacts in EEG data collected using the Muse system. The text contains some additional preprocessing steps which I typically...