Data from: A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans

William M. Roberts, Steven B. Augustine, Kristy J. Lawton, Theodore H. Lindsay, Tod R. Thiele, Eduardo J. Izquierdo, Serge Faumont, Rebecca A. Lindsay, Matthew Cale Britton, Navin Pokala, Cornelia I. Bargmann & Shawn R. Lockery
Random search is a behavioral strategy used by organisms from bacteria to humans to locate food that is randomly distributed and undetectable at a distance. We investigated this behavior in the nematode Caenorhabditis elegans, an organism with a small, well-described nervous system. Here we formulate a mathematical model of random search abstracted from the C. elegans connectome and fit to a large-scale kinematic analysis of C. elegans behavior at submicron resolution. The model predicts behavioral...

Registration Year

  • 2016
    1

Resource Types

  • Dataset
    1

Affiliations

  • Reed College
    1
  • University of Pennsylvania
    1
  • University of Minnesota
    1
  • New York Institute of Technology
    1
  • University of Oregon
    1
  • Indiana University Bloomington
    1
  • University of Toronto
    1
  • Rockefeller University
    1
  • California Institute of Technology
    1