Animal locomotion must remain effective despite variable neural circuits, changing body size, and fluctuating environmental conditions. Locomotion is controlled by autonomous, rhythmogenic circuits called Central Pattern Generators (CPGs), which adapt to sensory signals and internal states to maintain stable, flexible performance. While previous research highlights the role of ion channel degeneracy and slow homeostatic processes, how interme- diate timescales, particularly slow synaptic dynamics, contribute to mechanistic degeneracy and network-level robustness is less understood. Our focus on the Dendronotus iris swim CPG, a system described by preexisting electrophysiological data, allows us to rigorously test how the interplay of slow cellular currents and slow synaptic kinetics supports robust locomotion. This work advances our understanding of how CPGs maintain stable, adaptable rhythms in the face of perturbations.