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Circuit motifs and graph properties of connectome development in C. elegans

Matelsky, J. K.; Norman-Tenazas, R.; Davenport, F.; Reilly, E. P.; Gray-Roncal, W. R.

2021-07-12 bioinformatics
10.1101/2021.07.11.451911 bioRxiv
Show abstract

Network science is a powerful tool that can be used to better explore the complex structure of brain networks. Leveraging graph and motif analysis tools, we interrogate C. elegans connectomes across multiple developmental time points and compare the resulting graph characteristics and substructures over time. We show the evolution of the networks and highlight stable invariants and patterns as well as those that grow or decay unexpectedly, providing a substrate for additional analysis.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.