Installers for MNE-Python.

Automatically process entire electrophysiological datasets using MNE-Python.

Quick guide and tutorial to scientific data python programming

Connectivity algorithms that leverage the MNE-Python API.

Template for new EEG studies in NCIL, using BIDS-compliant structure and scripts to import data.

Realtime data analysis with MNE-Python

It features tutorials on using the EEGLAB toolbox and MNE-Python, guiding users through the basics of EEG data handling, pre-processing, and artifact removal.

Representational Similarity Analysis on MEG and EEG data

A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience

A high-level EEG Python library for all kinds of EEG inverse solutions

I have utilized MNE-Python Library to study eeg files. I have tried to implement my theoretical knowledge of signal processing. This was my first experience in the field of Brain Computer Interface. Biomedical Engineering fascinates me and I find these amazing. There is another open-source MATLAB Library called EEGLab, GUI based.

MEG sensor-space and source-space analysis using mne-python

Wrapper for MNE that makes fNIRS data analysis easier

Preprocessing and encoding analysis pipelines associated with neuroscientific research paper.

Repository with neurophysiological and statistical pipelines for auditory cognitive neuroscience research article in preparation.

Repository for mne docker images

Automated rejection and repair of bad trials/sensors in M/EEG

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

MNE Tutorial