Basic repo to test BIDS app on MNE sample data (ds000248)

🧠Quality assessor for EEG recordings 🧠

Classify whether a patient is having ASD or not using EEG Data. [NOTE] This project is no longer maintained. An active version is now in https://github.com/nirdslab/asd-detection

The technical process of processing EEG data with Python-MNE and Octave.

Mne-python source localization template

A runner for the MNE BIDS Pipeline.

Detecting ASD with Models Trained on EEG/IRT Data

[DEPRECATED] EEG Frequency Visualizer - MNE

A Deep Learning Library for State-Based EEG Analysis

ICApp is a Python-based application that offers a graphical user interface to view and analyze MNE Tools ICA components

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.

🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system

A python package for loading XDF files into MNE

We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.

Biodata analysis exercises which were completed during Vilnius university course 2022 #python

End-to-end automated EEG analysis to manuscript pipeline (MNE-BIDS → AI writing → Manubot/Carbone)

EEG Classification using MiniRocket + Ridge Classifier on BCI Competition IV Dataset 2a. Reproducible pipeline for Time-Series feature extraction and classification.

Python routines for parsing of combined EEG and eye-tracking data

User-friendly MNE-python based graphical user interface to do MEG and EEG analysis with multiple subjects

HCSO submission to Eurostat MNE Discovery Challenge (https://statistics-awards.eu/competitions/23)