SESAMEEG¶
SESAMEEG is a Python3 library providing the Bayesian multi-dipole localization method SESAME [1] (SEquential Semi-Analytic Montecarlo Estimator) for the automatic estimation of brain source currents from MEEG data, either in the time domain and in the frequency domain [2].
A mathematical description of the algorithm is available in the documentation.
Installation¶
To install this package, the easiest way is using pip. It will install both
sesameeg and its dependencies. The setup.py depends on numpy, scipy and mne
for the installation so it is advised to install them beforehand.
To install this package, please run the following commands:
(Latest stable version)
pip install numpy scipy mne
pip install sesameeg
If you do not have admin privileges on the computer, use the --user flag
with pip. To upgrade, use the --upgrade flag provided by pip.
To check if everything worked fine, you can run:
python -c 'import sesameeg'
and it should not give any error messages.
Bug reports¶
Use the github issue tracker to report bugs.
Cite our work¶
If you use this code in your project, please consider citing our work: