Open source content from the Hi! PARIS Summer School 2022 👩🏫
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Updated
Jul 10, 2022 - Jupyter Notebook
Open source content from the Hi! PARIS Summer School 2022 👩🏫
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.
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
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
DhW: Decoding the hidden Waves
A Deep Learning Library for State-Based EEG Analysis
Task + repository planning & workflow documentation in Flemish Natura 2000 habitat monitoring
The repository contains codes to classify arithematic task data using tensorflow and keras
Estimating evoked responses
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
Predicting Cognitive Workload in Flight Simulations using EEG Spectral and Connectivity Features: Repository for Research Code and Results
MNE-Python extension for VS Code
A python package for loading XDF files into MNE
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