Communities in C. elegans connectome through the prism of non-backtracking walks.

ABSTRACT: The fundamental relationship between the mesoscopic structure of neuronal circuits and organismic functions they subserve is one of the major challenges in contemporary neuroscience. Formation of structurally connected modules of neurons enacts the conversion from single-cell firing to large-scale behaviour of an organism, highlighting the importance of their accurate profiling in the data. While connectomes are typically characterized by significant sparsity of neuronal connections, recent advances in network theory and machine learning have revealed fundamental limitations of traditionally used community detection approaches in cases where the network is sparse. Here we studied the optimal community structure in the structural connectome of Caenorhabditis elegans, for which we exploited

SUBMITTER: Onuchin AA 

PROVIDER: S-EPMC10739864 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature