Thomas Ranner

This study shows that Caenorhabditis elegans uses a hierarchical locomotion strategy to achieve optimal volumetric coverage in search tasks, with movement patterns shaped by a cost hierarchy and embodied constraints.

The paper studies how neural, mechanical, and environmental factors modulate locomotion in C. elegans using a computational model.

The paper investigates how sensory inputs affect neuromechanical phase lag and locomotion speed in C. elegans by modeling feed forward and feedback controlled undulations.