MGH CSRL License
Yes
NITRC
MNE - Minimum Norm Current Estimates
Linux, MacOS
Yes
MATLAB, Python, C
Matti Hamalainen
The MNE software has been developed to compute cortically-constrained L2 minimum-norm current estimates and associated dynamic statistical parametric maps from MEG and EEG data, optionally constrained by fMRI. This software includes MEG and EEG preprocessing tools, interactive and batch-mode modules for the forward and inverse calculations, as well as various data conditioning and data conversion utilities.
This is a subproject of the Center for Functional Neuroimaging Techniques (http://www.nitrc.org/projects/cfnt/)
2008-10-21
4 - Beta
2.5.2
MNE - Minimum Norm Current Estimates
Forward - Inverse, Time Domain Analysis, Temporal Transformation, Tutorial, 4 - Beta, Epilepsy, Child Development Disorders, Pervasive, Obsessive-Compulsive Disorder, Schizophrenia, Alzheimer Disease, Depression, Multiple Sclerosis, Asperger Syndrome, Attention Deficit Disorder with Hyperactivity, Agnosia, Dyslexia, Diabetes Mellitus, Stroke, Hypertension, Substance-Related Disorders, MR, EEG/MEG, Optical Imaging, ECOG, X11 Applications, End Users, MGH CSRL License, English, Linux, MacOS, C, MATLAB, Python, MGH/MGZ, Other Format
http://www.nitrc.org/projects/mne/, http://http://www.martinos.org/mne/
msh@nmr.mgh.harvard.edu