freeCoG is a Python package for processing, analyzing, and designing 3d visualizations for neuroscience data. It contains tools for:

--cortical segmentation, registration, and reconstruction from MRI data

--automated localization of implanted electrode arrays in medical images

--image filters and smoothing funcitons

--DWI processing, modeling, reconstruction, and steramlines tractography visualization

--basic signal processing functions for EEG/ECoG data

--volume rendering for CT, PET, MRI, etc...

Dependencies include:

Python 2.7.X numpy scipy Matplotlib nibabel nipype Mahotas freesurfer fsl ANTs Mayavi Vistasoft VTK

To install freeCoG as a Python package, you should first install all dependences (see below), and use either pip or easy_install:

pip install freeCoG

or

easy_install freeCoG

As of April 2016 the package is under heavy development. It is not reccomended that you attempt to install as is.