Here you can find open-source software developed by our team. Feel free to contribute!
The meeg-tools package serves as a cookbook for preprocessing and analysing EEG/MEG signals in a semiautomatic and reproducible way. The general use-case of the package is to import its methods into an interactive Jupyter Notebook. The tutorials folder contains notebooks that document the preprocessing steps and demonstrate data operations and transformations steps. The preprocessing.py module contains the functions that can be used to clean data using MNE-Python.
Preprocessing of MEG/EEG
Interactive MEG/EEG preprocessing tutorial
This tutorial demonstrates how to preprocess EEG/MEG data using the meeg-tools package within a Jupyter notebook.
Languages: Python, Jupyter Notebook
Interactive time-frequency analysis tutorial for preprocessed epochs (ERP, power)
This tutorial demonstrates the basic analysis steps for performing time-frequency analysis on epochs using MNE-Python.
Analysis of dynamic functional connectivity
The connectivity.py module contains the functions that can be used to perform connectivity analysis using MNE-Python.
Probabilistic sequence learning task
A self-paced Alternating Serial Reaction Time Task created with the jsPsych library.
A Process Disssociation Procedures (PDP) task created with the jsPsych library and optimized for the ASRT task.