Automatically process entire electrophysiological datasets using MNE-Python.
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Updated
Jul 28, 2025 - Python
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.
Representational Similarity Analysis on MEG and EEG data
Analyze and manipulate EEG data using PyEEGLab.
Realtime data analysis with MNE-Python
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.
A high-level EEG Python library for all kinds of EEG inverse solutions
A simple open source Python package for I/O between Cartool and Python
This repo contains the Python script of the paper Chang et al. (2025) Journal of Neuroscience "Temporally dissociable neural representations of pitch height and chroma"
A U-Net for approximating the MEG inverse problem
Python framework for uncertainty estimation and calibration in EEG/MEG inverse source imaging.
a python framework to process and visualize BioSignal channel data in Real-time.
This is my pipeline for preprocessing and processing EEG data in Python.
Neurophysiological and statistical pipelines for auditory cognitive neuroscience paper.
Reading Spike2 files for electromiography and preprocessing them
A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience
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