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