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PyMEG is a project written in python to do various neuroimaging processing with magnetoencephalography data. The purpose of this project, is to create a suite of functions to do MEG analysis in python. While there exist a far amount of code out there for matlab, there is currently no existing code for MEG analysis in python. Python is a flexible programming language, and with the numerical libraries such as numpy and scipy, a lot of the same functionality that Matlab has can be accomplished. The project is now quite early in its development, so all code is c[onsidered very beta. However, at the moment we have a fully operational completely python converter of the 4D MEG data format 4D and several other utilities to do various things, such as leadfield computation, source-space projection, morlet wavelet time-frequency analysis (power spectrum and phase), a leadfield based source localization technique using matrix correlation, a primitive mri viewer, a 3D mri interactive viewer, and some plotting tools. Also, recently added is a data tap to do close to realtime reading of the data as its being acquired and additionally added a GUI for easier interaction. Future goals are to include additional source localization methods.
Just to reiterate, pymeg is in its current stage, not ready to be used for most humans. I share what I have done so far in hopes of encouraging others to participate and make something more useful. The pymeg software is released as open source under the GNU general public license.
