To merge the multimodal non-invasive datasets together and to compare and fuse them with invasive electrophysiological data, our team is extending our MNE-Python and FreeSurfer software packages. Our overall goal is to create automated processing pipelines founded on a solid methodological basis and attending to the needs of basic and clinical researchers. In particular, we are creating new visualization tools and new methods to display and merge invasive and non-invasive recordings from the same patient, on both individual and template/average brains. This will allow us to be able to understand and truly see how electrical, hemodynamic, and magnetic representations of brain activity correlate with and differ from each other. The visualizations are based on our long experience in geometrical modeling of anatomical data, which have enabled us to relate brain function to the underlying anatomical structures. We will make our software freely available to neuroscience and clinical researchers worldwide, which will enable freer use and understanding of TRANSFORM data and promote reproducible research across laboratories and institutions.