This is the repository of a course project in neuroinformatics. The project was about using autoencoder anomaly detection in order to detect button presses in EEG data.
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Updated
Oct 8, 2023 - Jupyter Notebook
This is the repository of a course project in neuroinformatics. The project was about using autoencoder anomaly detection in order to detect button presses in EEG data.
Open source content from the Hi! PARIS Summer School 2022 👩🏫
classification and dim reduction methods with traditional machine learning techniques
Epilepsy prediction using brain EEG signals
42 school project. Process EEG datas by cleaning, extracting, creating a ML pipeline implementing a dimensionality reduction algorithm before finding the right classifier and handling a real time data-stream with sklearn.
This project analyzes EEG data from 10 subjects—including 5 normal, 3 insomniacs, and 2 narcoleptic—sourced from the CAP Sleep Database. We focus on extracting, visualizing, and comparing sleep stage patterns using EEG signal processing and various analysis techniques.
The repository contains codes to classify arithematic task data using tensorflow and keras
Estimating evoked responses
Interface cerveau-machine (EEG) avec Machine Learning. Préprocessing MNE, réduction de dimension (PCA/CSP), pipeline scikit-learn, classification en “temps réel”, validation croisée et évaluation multi-sujets. Projet 42 orienté data science appliquée aux signaux cérébraux.
Detection of autism through the machine learning and deep learning analysis of Magnetoencephalography scans.
Sampling frames for Flemish Natura 2000 (n2k) habitat (hab) monitoring programmes
A website that allows users to upload EEG and similar files and the user can make certain filtering/preprocessing selections that apply to graph visualization. Worked on this project in CMPS 420 using libraries like MNE, Plotly, and Django
HCSO submission to Eurostat MNE Discovery Challenge (https://statistics-awards.eu/competitions/23)
Code for the tms-nirs-connectivity study.
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