mne-python

There are 4 repositories under mne-python topic.

autoreject / autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
electroencephalography preprocessing cross-validation mne-python magnetoencephalography meg
Language:Python 134
mne-tools / mne-bids-pipeline
Automatically process entire electrophysiological datasets using MNE-Python.
bids mne-python group-analysis pipeline python neuroscience
Language:Python 128
mne-tools / mne-connectivity
Connectivity algorithms that leverage the MNE-Python API.
connectivity dynamics mne-python statistics
Language:Python 60
AlessioZanga / PyEEGLab
Analyze and manipulate EEG data using PyEEGLab.
dataset preprocessing eeg eeg-signals-processing eeg-analysis eeg-classification eeg-data mne-python tensorflow keras
Language:Python 58
mne-tools / mne-realtime
Realtime data analysis with MNE-Python
mne-python lsl realtime fieldtrip-buffer
Language:Python 51
wmvanvliet / mne-rsa
Representational Similarity Analysis on MEG and EEG data
neuroscience mne-python data-analysis meg eeg
Language:Python 50
edw4rdyao / eeg_mi_dl
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).
cnn eeg mne-python braindecode moabb eeg-signals-processing gcn motor-imagery-classification bci bci-systems eeg-classification motor-imagery transformer
Language:Jupyter Notebook 38
kaczmarj / rteeg
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
eeg real-time mne-python labstreaminglayer
Language:Python 32
LukeTheHecker / 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
eeg inverse solutions neural-network inverse-solutions anns convdip esinet mne-python meg simulate-data
Language:Jupyter Notebook 32
neuropycon / ephypype
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
nipype electrophysiology connectivity mne-python
Language:Python 23
nmningmei / preprocessing_pipelines
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
preprocessing pipelines eeg meg fmri-preprocessing python3 nipype mne-python fsl
Language:Jupyter Notebook 21
ualsbombe / omission_frontiers
Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006 and Andersen, L. M. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12, (2018). https://10.3389/fnins.2018.00261
mne-python field-trip meg article group-analysis pipeline-script
Language:MATLAB 21
faturita / python-scientific
Quick guide and tutorial to scientific data python programming
anaconda data-science keras mne-python opencv-python python qlearning
Language:Jupyter Notebook 19
AGhaderi / MNE-Preprocessing
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
eeg preprocessing python mne-python mne independent-component-analysis mne-preprocessing eeg-preprocessing ica erp event-related-potentials signal
Language:Jupyter Notebook 16
reshalfahsi / eeg-motor-imagery-classification
EEG Motor Imagery Classification Using CNN, Transformer, and MLP
eeg-classification mne-python motor-imagery-classification
Language:Jupyter Notebook 13
mne-tools / mne-hfo
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
ieeg mne-python bids hfo-detection ieeg-data mne-hfo
Language:Python 12
mne-tools / mne-docker
Repository for mne docker images
mne-python dask docker
Language:Jupyter Notebook 11
fkupilik / MNE_ML
BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.
eeg eeg-classification brainvision mne-python keras scikit-learn machine-learning classification deep-learning neural-network svm-classifier linear-discriminant-analysis lstm-neural-networks convolutional-neural-networks recurrent-neural-networks
Language:Python 10
NirLab-TAU / sleepeegpy
eeg eeg-analysis fooof mne-python sleep sleep-analysis sleep-research yasa preprocessing visualization sleep-eeg
Language:Jupyter Notebook 10
yh-luo / from-zero-to-source-estimates
A beginner's guide to analyze MEG data using MNE-Python
mne-python neuroscience meg
Language:Jupyter Notebook 9
john-veillette / niseq
group sequential tests for neuroimaging
adaptive-design eeg fmri meeg meg mne-python neuroimaging neuroscience nilearn nipy statistics electroencephalography magnetoencephalography mri electrocorticography group-sequential-designs
Language:Jupyter Notebook 8
mne-tools / mne-installers
Installers for MNE-Python.
mne-python
Language:Shell 8
Functional-Brain-Mapping-Laboratory / PyCartool
A simple open source Python package for I/O between Cartool and Python
eeg mne-python python
Language:Python 6
atsukoba / MNE-Python-Training
tutorial and practice of EEG (Electroencephalogram) analysis, filtering, data I/O via MNE-Python (Minimum Norm Estimation)
mne-python jupyterlab dataset tutorial eeg-analysis eeg-classification eeg-data
Language:Jupyter Notebook 5
Emotions_Recognition_Generator
AlbertoPad / Emotions_Recognition_Generator
The main objective of this project is to recognise positive, negative and neutral emotions (CNN). Creating artificial signals using generative adversarial networks (GANs)
cnn eeg-signals-processing gan mne-python
Language:Jupyter Notebook 4
jjlatval / MEG-inverse-UNet
A U-Net for approximating the MEG inverse problem
tensorflow unet gpu tensorflow-gpu mne-python deep-learning deep-neural-networks inverse-problems
Language:Python 4
Yujingoto / AnalyzingNeuralTimeSeries_Python_Implimentation
The python codes for the Analyzing Neural Time Series Data, Mike X Cohen (2012) MIT Press
eeg eeg-analysis eeg-signals-processing mne-python
Language:Jupyter Notebook 4
Avichaurasia / NeuroIDBench
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
authentication biometrics-authentication brainwaves eeg-analysis eeg-signals machine-learning python recognition mne-python matplotlib seaborn
Language:Jupyter Notebook 3
fzakirov / MNE-tut
MNE tutorial
eeg mne-python tutorial
Language:Jupyter Notebook 3
jasmainak / mne-workshop-brown
eeg meg mne-python workshop-materials
Language:Jupyter Notebook 3
SherazKhan / sparse
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
meg eeg sparse-representations source-localization inverse-problems mne mne-python bayesian-inference
Language:MATLAB 3
Adiaslow / EEG-Pipeline-Python
This is my pipeline for preprocessing and processing EEG data in Python.
eeg-signals-processing eeg-analysis python mne-python
Language:Python 2
basverkennis / Flight-Sim-Cognitive-Workload-EEG-Prediction
Predicting Cognitive Workload in Flight Simulations using EEG Spectral and Connectivity Features: Repository for Research Code and Results
bci connectivity eeg phase-locking-value plv artificial-intelligence brain-computer-interface cognitive-science flight-simulation machine-learning neuroscience svm-classifier brain-oscillation mne mne-python
Language:Jupyter Notebook 2
hoechenberger / vscode-mne-python
MNE-Python extension for VS Code
mne mne-python vscode vscode-extension
Language:TypeScript 2
manishthilagar / Extracting-power-bands-theta-delta-bands-from-the-EEG-signal-using-MNE-and-YASA-Python
Extracting power bands (theta, delta, alpha, beta bands) from the EEG signal using MNE and YASA Python
alpha beta-bands eeg eeg-signal eeg-signals-processing mne-python power-bands yasa
Language:Jupyter Notebook 2
phuycke / alpha_theta_timescales
Directory used to store the code used for the paper titled "Theta and alpha power across fast and slow timescales in cognitive control" by Pieter Huycke, Pieter Verbeke, C. Nico Boehler and Tom Verguts.
cognitive-control fronto-medial-theta posterior-alpha mne-python r
Language:Python 2

mne-python

autoreject / autoreject

mne-tools / mne-bids-pipeline

mne-tools / mne-connectivity

AlessioZanga / PyEEGLab

mne-tools / mne-realtime

wmvanvliet / mne-rsa

edw4rdyao / eeg_mi_dl

kaczmarj / rteeg

LukeTheHecker / esinet

neuropycon / ephypype

nmningmei / preprocessing_pipelines

ualsbombe / omission_frontiers

faturita / python-scientific

AGhaderi / MNE-Preprocessing

reshalfahsi / eeg-motor-imagery-classification

mne-tools / mne-hfo

mne-tools / mne-docker

fkupilik / MNE_ML

NirLab-TAU / sleepeegpy

yh-luo / from-zero-to-source-estimates

john-veillette / niseq

mne-tools / mne-installers

Functional-Brain-Mapping-Laboratory / PyCartool

atsukoba / MNE-Python-Training

AlbertoPad / Emotions_Recognition_Generator

jjlatval / MEG-inverse-UNet

Yujingoto / AnalyzingNeuralTimeSeries_Python_Implimentation

Avichaurasia / NeuroIDBench

fzakirov / MNE-tut

jasmainak / mne-workshop-brown

SherazKhan / sparse

Adiaslow / EEG-Pipeline-Python

basverkennis / Flight-Sim-Cognitive-Workload-EEG-Prediction

hoechenberger / vscode-mne-python

manishthilagar / Extracting-power-bands-theta-delta-bands-from-the-EEG-signal-using-MNE-and-YASA-Python

phuycke / alpha_theta_timescales