Investigating dynamical properties of the <i> Caenorhabditis elegans </i> connectome through full-network simulations

Abstract

The neuronal network of the nematode Caenorhabditis elegans (C. elegans) is comprised of 302 sensory, motor and inter-neurons. Near-complete connectivity data for the gap junctions and chemical synapses connecting these neurons (its connectome) have been resolved . In addition, current experiments measure the response of various neurons to input stimuli. A description of these responses cannot be drawn from the static connectivity data alone. These studies suggest that computational modeling can assist in describing neural dynamics and their relation to the connectome. However, simulations of