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Evaler
Python package that relies on MNE-python for quantifying resolution metrics for evaluating spatial fidelity of M/EEG source estimates.
Example code in for_manuscript.py and some subject data in subj_data for regenerating data and the figures in the article "Spatial Fidelity of MEG/EEG Source Estimates: A General Evaluation Approach".
Dependencies: The MNE-python environment and plyfile.
Installation:
- Install and activate the MNE-python environment (should work with version 0.18 and newer)
- pip install plyfile
- python setup.py install
FAQs
Evaler.
We found that evaler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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