Software

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.

Languages: Python

GitHub

PyPI

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

GitHub

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.

Languages: Python

GitHub

Analysis of dynamic functional connectivity

The connectivity.py module contains the functions that can be used to perform connectivity analysis using MNE-Python.

Languages: Python

GitHub

Probabilistic sequence learning task

A self-paced Alternating Serial Reaction Time Task created with the jsPsych library.

Languages: JavaScript, HTML, CSS

GitHub

Process dissociation procedures task

Languages: JavaScript, CSS, HTML

GitHub

A Process Disssociation Procedures (PDP) task created with the jsPsych library and optimized for the ASRT task.