Simulation and optimization of neural circuits for MEG/EEG source estimates
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Updated
May 25, 2024 - Python
Simulation and optimization of neural circuits for MEG/EEG source estimates
Software for simulating MEG and EEG event-related responses. functional connectivity, and phase-amplitude coupling
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
Wiki for the MEGIN Triux Neo System at the Fondation Campus Biotech Geneva.
The MATLAB toolbox for MEG, EEG and iEEG analysis
Imaging in Neuroscience: with a focus on MEG and EEG Methods. Doctoral course at Karolinska Insitutet.
Representational Similarity Analysis on MEG and EEG data
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
SPM Documentation
Deep learning software to decode EEG, ECG or MEG signals
Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
SPM (Statistical Parametric Mapping) - Development Version
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
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