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