ePoster · Computational Neuroscience
Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes
Benjamin Pedigo · Neuromatch 5
Wed, Sep 28, 2022
Graph matching algorithms attempt to find the best correspondence between the nodes of two networks. These techniques have been used to match individual neurons in nanoscale connectomes -- in particular, to find pairings of neurons across hemispheres. However, since graph matching techniques deal with two isolated networks, they have only utilized the ipsilateral (same hemisphere) subgraphs when performing the matching. Here, we present a modification to a state-of-the-art graph matching algorithm which allows it to solve what we call the bisected graph matching problem. This modification allo