The goal of our research project is to establish connectome informatics, a methodology for exploiting brain networks to unveil the architecture of information processing in the brain. A key strategy of connectome informatics is to reveal the community structure of brain networks, where the word ‘community’ refers generally to a group of vertices of the network that are connected at higher probability with each other than with those outside the group [1]. This strategy is based on the hypothesis that communities of brain networks are associated with functional modules of information processing in the brain.
We have focussed upon the visual cortex. Taking ten visual cortical regions as vertices and exploiting the high-resolution connectivity data recently published from the Allen Brain Atlas (https://github.com/AllenInstitute/mouse_connectivity_models), we have calculated the connection strengths between these regions.
See the attached document.
Data can be found in Tables.xlsx in this repository.