HADESHADES

Outline

Highly Automated Dipole EStimation (HADES) is a particle filtering algorithm for estimating current dipoles from MEG data under general hypotheses. HADES is a set of Matlab functions and scripts with a Graphical User Interface.

The HADES software is free but copyrighted software, distributed under the terms of the GNU General Public Licence as published by the Free Software Foundation (either version 2, or at your option any later version). See the file COPYING for more details.

COPYING

References

Campi C, Pascarella A, Sorrentino A and Piana M 2011
Highly Automated Dipole Estimation (HADES)
Computational Intelligence and Neuroscience 2011, 982185

Pascarella A, Sorrentino A, Campi C and Piana M 2010
Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms
Inverse Problems and Imaging 4 169-190

Sorrentino A, Parkkonen L, Pascarella A, Campi C and Piana M 2009
Dynamical MEG source modeling with multi-target bayesian tracking
Human Brain Mapping 30 1911-1921

Download

To download the source code, please send an email to hades at dima.unige.it

Documentation

The documentation about HADES can be found here.

Contact

To contact us, please send an email to hades at dima.unige.it

Conditions of use

HADES is a toolbox written and released for neuroimaging research purposes only with no guarantee of suitability for any particular purpose. HADES, or data obtained from HADES, should not under any circumstances be used for clinical purposes.