MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
May 14, 2024 - Python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
Parameterizing neural power spectra into periodic & aperiodic components.
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
Automated rejection and repair of bad trials/sensors in M/EEG
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Convolution dictionary learning for time-series
A dynamic connectome mapping module in python.
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Representational Similarity Analysis on MEG and EEG data
Simulation and optimization of neural circuits for MEG/EEG source estimates
Python package for power mapping and functional connectivity using DICS
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