Mne Python Python Packages

mne-connectivity

Connectivity algorithms that leverage the MNE-Python API.

autoreject

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

mne-bids-pipeline

A full-flegded processing pipeline for your MEG and EEG data

autoclean-icvision

Automated ICA component classification using OpenAI Vision API for EEG data

autocleaneeg-icvision

Automated ICA component classification using OpenAI Vision API for EEG data

stimrespflow

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

pyeeglab

Analyze and manipulate EEG data using PyEEGLab

esinet

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

mne-rsa

Representational Similarity Analysis on MEG and EEG data

mne-realtime

Realtime data analysis with MNE-Python

sleepeeg

Sleep EEG preprocessing and analysis

ephypype

Python package providing pipelines for electrophysiological (EEG/MEG) data within nipype framework.

niseq

group sequential tests for neuroimaging

gedai

GEDAI in python.

sleepeegpy

Sleep EEG preprocessing, analysis and visualization

mne-hfo

Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.

pytour

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

pycartool

A simple open source Python package for I/O between Cartool and MNE ( and more generally python)

laura

laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem

shimadzu-fnirs-converter

Convert Shimadzu fNIRS TXT exports to SNIRF/FIF for MNE analysis.