Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics.

ABSTRACT: The roundworm Caenorhabditis elegans exhibits robust escape behavior in response to rapidly rising temperature. The behavior lasts for a few seconds, shows history dependence, involves both sensory and motor systems, and is too complicated to model mechanistically using currently available knowledge. Instead we model the process phenomenologically, and we use the Sir Isaac dynamical inference platform to infer the model in a fully automated fashion directly from experimental data. The inferred model requires incorporation of an unobserved dynamical variable and is biologically interpretable. The model makes accurate predictions about the dynamics of the worm behavior, and it can be used to characterize the functional logic of the dynamical system underlying the escape respons

SUBMITTER: Daniels BC 

PROVIDER: S-EPMC6462057 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature