Topological data analysis of C. elegans locomotion and behavior

Abstract

We apply topological data analysis to the behavior of C. elegans, a widely-studied model organism in biology. In particular, we use topology to produce a quantitative summary of complex behavior which may be applied to high-throughput data. Our methods allow us to distinguish and classify videos from various environmental conditions and we analyze the trade-off between accuracy and interpretability. Furthermore, we present a novel technique for visualizing the outputs of our analysis in terms of the input. Specifically, we use representative cycles of persistent homology to produce synthetic videos of stereotypical behaviors.

arXiv comment27 pages, 15 figures/tables

References in corpus (8)

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• Statistical topological data analysis using persistence landscapes
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• Topological strata of weighted complex networks
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