Circuit Optimization Predicts Dynamic Networks for Chemosensory Orientation in the Nematode Caenorhabditis elegans

摘要

The connectivity of the nervous system of the nematode Caenorhabditis elegans has been described completely, but the analysis of the neu-ronal basis of behavior in this system is just beginning. Here, we used an optimization algorithm to search for patterns of connectivity sufficient to compute the sensorimotor transformation underlying C. elegans chemotaxis, a simple form of spatial orientation behavior in which turning probability is modulated by the rate of change of chemical concentration. Optimization produced differentiator networks with inhibitory feedback among all neurons. Further analysis showed that feedback regulates the latency between sensory input and behavior. Common patterns of connectivity between the model and biological networks suggest new functions for previously identified connections in the C. elegans nervous system.