Automatically process entire electrophysiological datasets using MNE-Python.
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Nov 6, 2026 - Python
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Automatically process entire electrophysiological datasets using MNE-Python.
Automated rejection and repair of bad trials/sensors in M/EEG
Connectivity algorithms that leverage the MNE-Python API.
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 transformer bci motor-imagery-classification mne-python gcn bci-systems motor-imagery eeg-classification eeg-signals-processing moabb braindecode
Representational Similarity Analysis on MEG and EEG data
Analyze and manipulate EEG data using PyEEGLab.
tensorflow keras eeg dataset preprocessing eeg-data mne-python eeg-analysis eeg-classification eeg-signals-processing
Realtime data analysis with MNE-Python
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
neural-network solutions meg eeg inverse mne-python inverse-solutions anns simulate-data convdip esinet
visualization eeg preprocessing sleep mne-python eeg-analysis sleep-research sleep-eeg sleep-analysis yasa fooof
EEG Motor Imagery Classification Using CNN, Transformer, and MLP
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
Quick guide and tutorial to scientific data python programming
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
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 Repres…
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
python erp eeg mne signal preprocessing event-related-potentials mne-python ica independent-component-analysis eeg-preprocessing mne-preprocessing
Beginner tutorial: ML & signal processing on neural signals (EEG) in Python — raw recordings to honest evaluation, in runnable notebooks. MIT.
machine-learning tutorial deep-learning signal-processing neuroscience eeg reproducibility bci brain-computer-interface mne-python
Introduction to EEG analysis course using MNE-Python
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