An algorithm that learns the inherent offsets and biases from empirical magnetometer measurement data.

Multiple Constrained Minimum Variance (MCMV) beamformer

Various scripts and jupyter notebooks with python code for brain image analysis and visualization

Data analysis scripts for "Across-subjects classification of stimulus modality from human MEG high frequency activity"

Big simulation study for MNE-Python's LCMV and DICS beamformers

Python package for power mapping and functional connectivity using DICS

Python - 100天从新手到大师

Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remove, and chunks the data into segments to account for nonstat…

Python + EEG/MEG = PyEEG