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

Automatically process entire electrophysiological datasets using MNE-Python.

autoclean-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

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

pyeeglab

Analyze and manipulate EEG data using PyEEGLab.

autocleaneeg-icvision

Automated ICA artifact classification and removal for EEG data using OpenAI Vision API. Generates component visualizations, classifies artifacts, and produces cleaned datasets with detailed reports.

mne-realtime

A module for real-time data analysis with MNE.

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

laura

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

pycartool

A simple open source Python package for I/O between Cartool and Python

shimadzu-fnirs-converter

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